├── .gitattributes ├── .gitignore ├── .vscode └── settings.json ├── LICENSE ├── Python.xmind ├── README.md ├── algorithms ├── README.md ├── backtracking │ └── all_subs.py └── dp │ └── 01背包 │ └── 01背包.ipynb ├── all.png ├── data structures ├── README.md ├── union_find.py └── unionfind.png ├── data.html ├── gpt dev ├── 1.py └── README.md ├── interview ├── README.md ├── escape.py ├── huiwenchuan.py └── pysql.py ├── knowledge ├── README.md └── 编码和解码.ipynb ├── leetcode ├── L1115.py ├── L1402.py ├── L1465.py ├── L1726.py ├── L2003.py ├── L2316.py ├── L2520.py ├── L2525.py ├── L2530.py ├── L2558.py ├── L2678.py ├── L2698.py ├── L274.py ├── L275.py ├── L318.py └── README.md ├── movie.gif ├── oop ├── Python OOP.xmind ├── Python OOP1.png ├── README.md ├── items.csv └── items.py ├── plans ├── README.md └── plan.md ├── projects ├── README.md ├── course-completion │ ├── README.md │ └── requirements.doc ├── database-design │ └── 作业要求 │ │ ├── README.md │ │ ├── 作业 (及格就行).zip │ │ └── 作业 (及格就行) │ │ ├── 在线考试（主观题）——《数据库课程设计》_19351616122939730.doc │ │ ├── 在线考试（主观题）——《软件工程课程设计》 │ │ ├── 产品需求规格说明书.doc │ │ ├── 体系结构设计说明书.doc │ │ ├── 关于软件工程设计提交文件的说明和解释.pdf │ │ ├── 模块设计说明书.doc │ │ ├── 测试用例说明书.doc │ │ └── 软件工程设计.docx │ │ ├── 在线考试（主观题）——《软件工程课程设计》_19541617180667548.zip │ │ └── 数据库作业.docx ├── excel_process │ ├── A股公开市场数据.csv │ ├── A股公开市场数据.xlsx │ ├── README.md │ ├── process.py │ └── read.py ├── image-process │ ├── README.md │ ├── all.png │ ├── circle_detect.py │ ├── circle_detector.py │ ├── circles_combine.py │ ├── demo.py │ ├── fantastic.png │ ├── image.jpg │ ├── resize_circles.rar │ ├── resize_circles │ │ ├── 0.png │ │ ├── 1.png │ │ ├── 10.png │ │ ├── 100.png │ │ ├── 101.png │ │ ├── 102.png │ │ ├── 103.png │ │ ├── 104.png │ │ ├── 105.png │ │ ├── 106.png │ │ ├── 107.png │ │ ├── 108.png │ │ ├── 109.png │ │ ├── 11.png │ │ ├── 110.png │ │ ├── 111.png │ │ ├── 112.png │ │ ├── 113.png │ │ ├── 114.png │ │ ├── 115.png │ │ ├── 116.png │ │ ├── 117.png │ │ ├── 118.png │ │ ├── 119.png │ │ ├── 12.png │ │ ├── 120.png │ │ ├── 121.png │ │ ├── 122.png │ │ ├── 123.png │ │ ├── 124.png │ │ ├── 125.png │ │ ├── 126.png │ │ ├── 127.png │ │ ├── 128.png │ │ ├── 129.png │ │ ├── 13.png │ │ ├── 130.png │ │ ├── 131.png │ │ ├── 132.png │ │ ├── 133.png │ │ ├── 134.png │ │ ├── 135.png │ │ ├── 136.png │ │ ├── 137.png │ │ ├── 138.png │ │ ├── 139.png │ │ ├── 14.png │ │ ├── 140.png │ │ ├── 141.png │ │ ├── 142.png │ │ ├── 143.png │ │ ├── 144.png │ │ ├── 145.png │ │ ├── 146.png │ │ ├── 147.png │ │ ├── 148.png │ │ ├── 149.png │ │ ├── 15.png │ │ ├── 150.png │ │ ├── 151.png │ │ ├── 152.png │ │ ├── 153.png │ │ ├── 154.png │ │ ├── 155.png │ │ ├── 156.png │ │ ├── 157.png │ │ ├── 158.png │ │ ├── 159.png │ │ ├── 16.png │ │ ├── 160.png │ │ ├── 161.png │ │ ├── 162.png │ │ ├── 163.png │ │ ├── 164.png │ │ ├── 165.png │ │ ├── 166.png │ │ ├── 167.png │ │ ├── 168.png │ │ ├── 169.png │ │ ├── 17.png │ │ ├── 170.png │ │ ├── 171.png │ │ ├── 172.png │ │ ├── 173.png │ │ ├── 174.png │ │ ├── 175.png │ │ ├── 176.png │ │ ├── 177.png │ │ ├── 178.png │ │ ├── 179.png │ │ ├── 18.png │ │ ├── 180.png │ │ ├── 181.png │ │ ├── 182.png │ │ ├── 183.png │ │ ├── 184.png │ │ ├── 185.png │ │ ├── 186.png │ │ ├── 187.png │ │ ├── 188.png │ │ ├── 189.png │ │ ├── 19.png │ │ ├── 190.png │ │ ├── 191.png │ │ ├── 192.png │ │ ├── 193.png │ │ ├── 194.png │ │ ├── 195.png │ │ ├── 196.png │ │ ├── 197.png │ │ ├── 198.png │ │ ├── 199.png │ │ ├── 2.png │ │ ├── 20.png │ │ ├── 200.png │ │ ├── 201.png │ │ ├── 202.png │ │ ├── 203.png │ │ ├── 204.png │ │ ├── 21.png │ │ ├── 22.png │ │ ├── 23.png │ │ ├── 24.png │ │ ├── 25.png │ │ ├── 26.png │ │ ├── 27.png │ │ ├── 28.png │ │ ├── 29.png │ │ ├── 3.png │ │ ├── 30.png │ │ ├── 31.png │ │ ├── 32.png │ │ ├── 33.png │ │ ├── 34.png │ │ ├── 35.png │ │ ├── 36.png │ │ ├── 37.png │ │ ├── 38.png │ │ ├── 39.png │ │ ├── 4.png │ │ ├── 40.png │ │ ├── 41.png │ │ ├── 42.png │ │ ├── 43.png │ │ ├── 44.png │ │ ├── 45.png │ │ ├── 46.png │ │ ├── 47.png │ │ ├── 48.png │ │ ├── 49.png │ │ ├── 5.png │ │ ├── 50.png │ │ ├── 51.png │ │ ├── 52.png │ │ ├── 53.png │ │ ├── 54.png │ │ ├── 55.png │ │ ├── 56.png │ │ ├── 57.png │ │ ├── 58.png │ │ ├── 59.png │ │ ├── 6.png │ │ ├── 60.png │ │ ├── 61.png │ │ ├── 62.png │ │ ├── 63.png │ │ ├── 64.png │ │ ├── 65.png │ │ ├── 66.png │ │ ├── 67.png │ │ ├── 68.png │ │ ├── 69.png │ │ ├── 7.png │ │ ├── 70.png │ │ ├── 71.png │ │ ├── 72.png │ │ ├── 73.png │ │ ├── 74.png │ │ ├── 75.png │ │ ├── 76.png │ │ ├── 77.png │ │ ├── 78.png │ │ ├── 79.png │ │ ├── 8.png │ │ ├── 80.png │ │ ├── 81.png │ │ ├── 82.png │ │ ├── 83.png │ │ ├── 84.png │ │ ├── 85.png │ │ ├── 86.png │ │ ├── 87.png │ │ ├── 88.png │ │ ├── 89.png │ │ ├── 9.png │ │ ├── 90.png │ │ ├── 91.png │ │ ├── 92.png │ │ ├── 93.png │ │ ├── 94.png │ │ ├── 95.png │ │ ├── 96.png │ │ ├── 97.png │ │ ├── 98.png │ │ └── 99.png │ ├── simple.png │ ├── tiny_circles.rar │ └── tiny_circles │ │ ├── 0.png │ │ ├── 1.png │ │ ├── 10.png │ │ ├── 100.png │ │ ├── 101.png │ │ ├── 102.png │ │ ├── 103.png │ │ ├── 104.png │ │ ├── 105.png │ │ ├── 106.png │ │ ├── 107.png │ │ ├── 108.png │ │ ├── 109.png │ │ ├── 11.png │ │ ├── 110.png │ │ ├── 111.png │ │ ├── 112.png │ │ ├── 113.png │ │ ├── 114.png │ │ ├── 115.png │ │ ├── 116.png │ │ ├── 117.png │ │ ├── 118.png │ │ ├── 119.png │ │ ├── 12.png │ │ ├── 120.png │ │ ├── 121.png │ │ ├── 122.png │ │ ├── 123.png │ │ ├── 124.png │ │ ├── 125.png │ │ ├── 126.png │ │ ├── 127.png │ │ ├── 128.png │ │ ├── 129.png │ │ ├── 13.png │ │ ├── 130.png │ │ ├── 131.png │ │ ├── 132.png │ │ ├── 133.png │ │ ├── 134.png │ │ ├── 135.png │ │ ├── 136.png │ │ ├── 137.png │ │ ├── 138.png │ │ ├── 139.png │ │ ├── 14.png │ │ ├── 140.png │ │ ├── 141.png │ │ ├── 142.png │ │ ├── 143.png │ │ ├── 144.png │ │ ├── 145.png │ │ ├── 146.png │ │ ├── 147.png │ │ ├── 148.png │ │ ├── 149.png │ │ ├── 15.png │ │ ├── 150.png │ │ ├── 151.png │ │ ├── 152.png │ │ ├── 153.png │ │ ├── 154.png │ │ ├── 155.png │ │ ├── 156.png │ │ ├── 157.png │ │ ├── 158.png │ │ ├── 159.png │ │ ├── 16.png │ │ ├── 160.png │ │ ├── 161.png │ │ ├── 162.png │ │ ├── 163.png │ │ ├── 164.png │ │ ├── 165.png │ │ ├── 166.png │ │ ├── 167.png │ │ ├── 168.png │ │ ├── 169.png │ │ ├── 17.png │ │ ├── 170.png │ │ ├── 171.png │ │ ├── 172.png │ │ ├── 173.png │ │ ├── 174.png │ │ ├── 175.png │ │ ├── 176.png │ │ ├── 177.png │ │ ├── 178.png │ │ ├── 179.png │ │ ├── 18.png │ │ ├── 180.png │ │ ├── 181.png │ │ ├── 182.png │ │ ├── 183.png │ │ ├── 184.png │ │ ├── 185.png │ │ ├── 186.png │ │ ├── 187.png │ │ ├── 188.png │ │ ├── 189.png │ │ ├── 19.png │ │ ├── 190.png │ │ ├── 191.png │ │ ├── 192.png │ │ ├── 193.png │ │ ├── 194.png │ │ ├── 195.png │ │ ├── 196.png │ │ ├── 197.png │ │ ├── 198.png │ │ ├── 199.png │ │ ├── 2.png │ │ ├── 20.png │ │ ├── 200.png │ │ ├── 201.png │ │ ├── 202.png │ │ ├── 203.png │ │ ├── 204.png │ │ ├── 21.png │ │ ├── 22.png │ │ ├── 23.png │ │ ├── 24.png │ │ ├── 25.png │ │ ├── 26.png │ │ ├── 27.png │ │ ├── 28.png │ │ ├── 29.png │ │ ├── 3.png │ │ ├── 30.png │ │ ├── 31.png │ │ ├── 32.png │ │ ├── 33.png │ │ ├── 34.png │ │ ├── 35.png │ │ ├── 36.png │ │ ├── 37.png │ │ ├── 38.png │ │ ├── 39.png │ │ ├── 4.png │ │ ├── 40.png │ │ ├── 41.png │ │ ├── 42.png │ │ ├── 43.png │ │ ├── 44.png │ │ ├── 45.png │ │ ├── 46.png │ │ ├── 47.png │ │ ├── 48.png │ │ ├── 49.png │ │ ├── 5.png │ │ ├── 50.png │ │ ├── 51.png │ │ ├── 52.png │ │ ├── 53.png │ │ ├── 54.png │ │ ├── 55.png │ │ ├── 56.png │ │ ├── 57.png │ │ ├── 58.png │ │ ├── 59.png │ │ ├── 6.png │ │ ├── 60.png │ │ ├── 61.png │ │ ├── 62.png │ │ ├── 63.png │ │ ├── 64.png │ │ ├── 65.png │ │ ├── 66.png │ │ ├── 67.png │ │ ├── 68.png │ │ ├── 69.png │ │ ├── 7.png │ │ ├── 70.png │ │ ├── 71.png │ │ ├── 72.png │ │ ├── 73.png │ │ ├── 74.png │ │ ├── 75.png │ │ ├── 76.png │ │ ├── 77.png │ │ ├── 78.png │ │ ├── 79.png │ │ ├── 8.png │ │ ├── 80.png │ │ ├── 81.png │ │ ├── 82.png │ │ ├── 83.png │ │ ├── 84.png │ │ ├── 85.png │ │ ├── 86.png │ │ ├── 87.png │ │ ├── 88.png │ │ ├── 89.png │ │ ├── 9.png │ │ ├── 90.png │ │ ├── 91.png │ │ ├── 92.png │ │ ├── 93.png │ │ ├── 94.png │ │ ├── 95.png │ │ ├── 96.png │ │ ├── 97.png │ │ ├── 98.png │ │ └── 99.png ├── pdf2text │ ├── README.md │ ├── Redis 3.0 中文版 - v1.1.pdf │ ├── Redis 3.0 中文版 - v1.1.txt │ └── pdf2text.py ├── qinsi │ ├── 1.py │ ├── README.md │ ├── demoqinsi4(2).py │ ├── demoqinsi4-final.py │ ├── demoqinsi4.py │ ├── dist │ │ ├── demoqinsi4(2).exe │ │ ├── demoqinsi4.exe │ │ ├── md5.exe │ │ └── 【秦丝进销存】库存分析器.exe │ ├── format.py │ ├── md5.py │ └── requirements.txt ├── ros+ai │ ├── Fuzzy.py │ ├── README.md │ ├── Request.docx │ └── calculate.jpg ├── spiders │ ├── README.md │ ├── __pycache__ │ │ ├── mul_process_get_links.cpython-312.pyc │ │ ├── mul_threads_get_links.cpython-310.pyc │ │ ├── mul_threads_get_links.cpython-312.pyc │ │ ├── tencent_get_all_links.cpython-312.pyc │ │ └── youku_get_links.cpython-310.pyc │ ├── data_clean.py │ ├── find_comment.py │ ├── json_ops.py │ ├── mango_tv.py │ ├── mul_threads_get_links.py │ ├── re_demo.py │ ├── tencent_get_all_links.py │ ├── tencent_video.py │ ├── tencent_video.py - spiders - Visual Studio Code 2024-03-17 11-52-49.mp4 │ ├── text.txt │ ├── youku_ajax.py │ ├── youku_film.txt │ ├── youku_get_comment.py │ ├── youku_get_links.py │ ├── youku_video.py │ ├── 优酷电影_样例.xlsx │ └── 腾讯动漫.xlsx ├── weixin │ ├── 1.py │ ├── 2.py │ ├── README.md │ └── download │ │ └── None.gif └── wxread++ │ ├── README.md │ └── increase.py ├── python-core-techs ├── 01_列表和元组.ipynb ├── 02_字典和集合.ipynb ├── 03_字符串.ipynb ├── 04_输入和输出.ipynb ├── 05_条件和循环.ipynb ├── 06_异常处理.ipynb ├── 07_自定义函数.ipynb ├── 08_正则表达式.ipynb ├── 09_匿名函数.ipynb ├── 10_浅拷贝和深拷贝.ipynb ├── 11_面向对象01.ipynb ├── 12_面向对象02.ipynb ├── 13_Python模块化.ipynb ├── 14_Python对象的比较和拷贝.ipynb ├── 15_Python的参数传递.ipynb ├── 16_强大的装饰器.ipynb ├── 17_列表推导式.ipynb ├── 32-Python核心技术与实战.epub ├── README.md ├── game_of_life.py └── perfect_number.py ├── python-office-automation └── README.md ├── python-opencv ├── README.md └── detect_one_circle.py ├── python-web-security ├── README.md ├── ftp-cver.py └── 如何找到第一个cve.md ├── python-web └── README.md ├── re ├── README.md ├── backref.py ├── border.py ├── jude_0x.py ├── judge_even.py └── number.py ├── requirements.txt ├── roadmap ├── 32-Python核心技术与实战.epub ├── README.md └── python.pdf ├── scripts ├── B站半佛评史玉柱.csv ├── README.md ├── calendar_gen.py ├── calendar_gen.spec ├── directory_cnt.py ├── dist │ └── calendar_gen.exe ├── get_bilibili_comments.py ├── get_leetcode_pic.py ├── images2gif.py ├── leetcode_pics │ ├── 1.png │ ├── 10.png │ ├── 2.png │ ├── 3.png │ ├── 4.png │ ├── 5.png │ ├── 6.png │ ├── 7.png │ ├── 8.png │ └── 9.png ├── test_img_shape.py └── 电影.xlsx └── wxpy.pkl /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | 2 | Pipfile 3 | .vscode/settings.json 4 | *.pyc 5 | -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "python.testing.unittestArgs": [ 3 | "-v", 4 | "-s", 5 | "./leetcode", 6 | "-p", 7 | "*test.py" 8 | ], 9 | "python.testing.pytestEnabled": false, 10 | "python.testing.nosetestsEnabled": false, 11 | "python.testing.unittestEnabled": true 12 | } -------------------------------------------------------------------------------- /Python.xmind: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/Python.xmind -------------------------------------------------------------------------------- /algorithms/README.md: -------------------------------------------------------------------------------- 1 | # Python和算法 2 | 算法就是一系列具体的做事情的步骤，用Python这个工具实现，完成目的 3 | -------------------------------------------------------------------------------- /algorithms/backtracking/all_subs.py: -------------------------------------------------------------------------------- 1 | """ 2 | 获取字符串的所有子字符串 3 | """ 4 | from __future__ import annotations 5 | 6 | from typing import Any 7 | 8 | 9 | def generate_all_subsequences(sequence: list[Any]) -> None: 10 | create_state_space_tree(sequence, [], 0) 11 | 12 | 13 | def create_state_space_tree( 14 | sequence: list[Any], current_subsequence: list[Any], index: int 15 | ) -> None: 16 | """ 17 | Creates a state space tree to iterate through each branch using DFS. 18 | We know that each state has exactly two children. 19 | It terminates when it reaches the end of the given sequence. 20 | 使用DFS迭代每一个分支, 创建一个状态空间树 21 | 对于每一个状态都有两个儿子 22 | """ 23 | if index == len(sequence): 24 | print(current_subsequence) 25 | return 26 | 27 | """ 28 | 1o 29 | // \\ 30 | 2o 3o 31 | 回溯过程: 32 | (1) 1o -> 2o, 添加下一层的左节点, 递归 33 | (2) 2o -> 1o, 回溯 34 | (3) 1o -> 3o, 添加下一层的右节点, 递归 35 | """ 36 | current_subsequence.append(sequence[index]) # 增加下一层的结点 -> 1 37 | create_state_space_tree(sequence, current_subsequence, index + 1) # 访问下一层 38 | current_subsequence.pop() # 切换下一层的空节点 39 | create_state_space_tree(sequence, current_subsequence, index + 1) # 再访问下一层 -> 0 40 | 41 | 42 | if __name__ == "__main__": 43 | seq: list[Any] = [3, 1, 2, 4] 44 | generate_all_subsequences(seq) 45 | 46 | # seq.clear() 47 | # seq.extend(["A", "B", "C"]) 48 | # generate_all_subsequences(seq) -------------------------------------------------------------------------------- /algorithms/dp/01背包/01背包.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "## 01背包" 8 | ] 9 | }, 10 | { 11 | "cell_type": "code", 12 | "execution_count": null, 13 | "metadata": {}, 14 | "outputs": [], 15 | "source": [] 16 | } 17 | ], 18 | "metadata": { 19 | "kernelspec": { 20 | "display_name": "Python 3", 21 | "language": "python", 22 | "name": "python3" 23 | }, 24 | "language_info": { 25 | "codemirror_mode": { 26 | "name": "ipython", 27 | "version": 3 28 | }, 29 | "file_extension": ".py", 30 | "mimetype": "text/x-python", 31 | "name": "python", 32 | "nbconvert_exporter": "python", 33 | "pygments_lexer": "ipython3", 34 | "version": "3.10.10" 35 | } 36 | }, 37 | "nbformat": 4, 38 | "nbformat_minor": 2 39 | } 40 | -------------------------------------------------------------------------------- /all.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/all.png -------------------------------------------------------------------------------- /data structures/README.md: -------------------------------------------------------------------------------- 1 | # Python和数据结构 2 | Python提供了很多数据结构，在这些数据结构基础上构建更合适的数据结构，完成指定的算法任务。 3 | -------------------------------------------------------------------------------- /data structures/union_find.py: -------------------------------------------------------------------------------- 1 | """ 2 | Implementation of a union-find! 3 | If you want to do doctest: 4 | python3 -m doctest -v union_find.py 5 | """ 6 | 7 | 8 | class UnionFind: 9 | def __init__(self, n: int) -> None: 10 | """ 11 | Initialize a unionfind 12 | n is the numbers of the initial trees 13 | """ 14 | self.pa = list(range(n)) 15 | self.size = [1] * n # size of the current 16 | 17 | def find(self, x: int) -> int: 18 | """ 19 | Returns the parent of the element x (root element). 20 | >>> uf = UnionFind(3) 21 | >>> uf.find(2) 22 | 2 23 | >>> uf.find(1) 24 | 1 25 | """ 26 | if self.pa[x] != x: 27 | self.pa[x] = self.find(self.pa[x]) 28 | return self.pa[x] 29 | 30 | def union(self, x: int, y: int) -> None: 31 | """ 32 | x and y are trees. 33 | Returns the union of tree x and tree y. 34 | we connect a tree with fewer nodes to another tree. 35 | >>> uf = UnionFind(9) 36 | >>> uf.union(2,3) 37 | >>> uf.find(3) 38 | 2 39 | >>> uf.union(3,4) 40 | >>> uf.find(4) 41 | 2 42 | """ 43 | x, y = self.find(x), self.find(y) 44 | if x == y: 45 | return 46 | if self.size[x] < self.size[y]: 47 | x, y = y, x 48 | self.pa[y] = x 49 | self.size[x] += self.size[y] 50 | 51 | def get_size(self, x: int) -> int: 52 | """ 53 | Returns the size of tree x that contains its children 54 | x is the tree that you want to get its size 55 | >>> uf = UnionFind(4) 56 | >>> uf.get_size(1) 57 | 1 58 | >>> uf.union(1,2) 59 | >>> uf.get_size(1) 60 | 2 61 | """ 62 | return self.size[x] 63 | 64 | 65 | if __name__ == "__main__": 66 | # test 67 | uf = UnionFind(6) 68 | uf.union(1, 2) 69 | uf.union(2, 4) 70 | assert uf.get_size(1) == 3 71 | -------------------------------------------------------------------------------- /data structures/unionfind.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/data structures/unionfind.png -------------------------------------------------------------------------------- /data.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 腾讯视频首播影院电影信息 7 | 8 | 9 | 10 |

腾讯视频首播影院电影信息

11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | -------------------------------------------------------------------------------- /gpt dev/1.py: -------------------------------------------------------------------------------- 1 | import os 2 | import openai 3 | openai.organization = "Personal" 4 | openai.api_key = os.getenv("OPENAI_API_KEY") 5 | # print(openai.api_key) 6 | 7 | def chat_with_gpt(prompt): 8 | res = openai.Completion.create(engine = 'davinci') 9 | return res 10 | 11 | conversation = "hello" 12 | resp = chat_with_gpt(conversation) 13 | print(resp) 14 | -------------------------------------------------------------------------------- /gpt dev/README.md: -------------------------------------------------------------------------------- 1 | # GPT开发者 2 | ## openai api key使用 3 | openai api key是在创建的时候你去复制的\ 4 | 官网免费, api收费, 这德行。。。\ 5 | api key是关于api的key, 一般都是一串挺长的字符串... 6 | -------------------------------------------------------------------------------- /interview/README.md: -------------------------------------------------------------------------------- 1 | # 面试 2 | 面试时候用python解决/回答的一些问题... 3 | -------------------------------------------------------------------------------- /interview/escape.py: -------------------------------------------------------------------------------- 1 | """ 2 | \M 3 | """ -------------------------------------------------------------------------------- /interview/huiwenchuan.py: -------------------------------------------------------------------------------- 1 | def judge(s): 2 | # 字符串切片 3 | return s == s[::-1] 4 | 5 | if __name__ == "__main__": 6 | while 1: 7 | s = input("请输入字符串: ") 8 | if judge(s): 9 | print(s, "是回文字符串") 10 | else: 11 | print(s, "不是回文串~") 12 | -------------------------------------------------------------------------------- /interview/pysql.py: -------------------------------------------------------------------------------- 1 | """ 2 | 请用Python完成这样的一个函数: 3 | 输入满2件打9折, 返回“满折\2\9; 4 | 输入满3件打8折, 返回“满折\3\8; 5 | 输入满2件打9折,满3件打8折”, 返回“满折\2\9;满折\3\8; 6 | 如果输入 满M1件打C1折,满M2件打C2折,……，返回 满折\M1\C1;满折\M2\C2; 7 | ……如何处理？""" 8 | 9 | 10 | 11 | def process_discount_string(discount_string): 12 | discounts = [] 13 | parts = discount_string.split(',') 14 | for part in parts: 15 | if '满' in part and '件打' in part and '折' in part: 16 | start_index = part.index('满') + 1 17 | end_index = part.index('件打') 18 | quantity = part[start_index:end_index] 19 | start_index = end_index + 2 20 | end_index = part.index('折') 21 | percentage = part[start_index:end_index] 22 | discounts.append(f'满折\\{quantity}\\{percentage};') 23 | return ''.join(discounts) 24 | 25 | # 测试例子 26 | discount_string = '满2件打9折,满3件打8折' 27 | result = process_discount_string(discount_string) 28 | print(result) -------------------------------------------------------------------------------- /knowledge/README.md: -------------------------------------------------------------------------------- 1 | # knowledge 2 | - [ ] 编码和解码 3 | -------------------------------------------------------------------------------- /knowledge/编码和解码.ipynb: -------------------------------------------------------------------------------- 1 | {"cells":[{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[{"data":{"text/plain":["b'hello, world'"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["\"hello, world\".encode('ascii')"]},{"cell_type":"markdown","metadata":{},"source":["python的int数据可以无限大, 解决了 大数 问题\\\n","python的str模式就是utf-8编码, encode就是将字符串转换成另一种编码格式, 解码就是变回unicode模式"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"data":{"text/plain":["b'hello, world \\\\u9f99\\\\u9f99'"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["\"hello, world 龙龙\".encode(\"unicode_escape\")"]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["字符数: 1\n","内存字节数: 76 字节\n"]}],"source":["import sys\n","\n","# 创建一个包含一个汉字字符的字符串\n","chinese_character = '中'\n","\n","# 获取字符串的字符数\n","character_count = len(chinese_character)\n","\n","# 获取字符串对象占用的内存字节数\n","memory_size = sys.getsizeof(chinese_character)\n","\n","print(f'字符数: {character_count}')\n","print(f'内存字节数: {memory_size} 字节')"]},{"cell_type":"markdown","metadata":{},"source":["unicode已经支持超过一百万种字符的"]},{"cell_type":"markdown","metadata":{},"source":["在 Python 中，decode 方法主要用于将字节序列解码为字符串，通常用于处理编码的数据。下面是一个使用 decode 方法的示例："]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["中文\n"]}],"source":["# 创建一个字节序列（bytes）\n","encoded_bytes = b'\\xe4\\xb8\\xad\\xe6\\x96\\x87' # 这是 UTF-8 编码的 \"中文\" 字符串\n","\n","# 使用 decode 方法将字节序列解码为字符串\n","decoded_string = encoded_bytes.decode('utf-8')\n","\n","# 打印解码后的字符串\n","print(decoded_string)"]},{"cell_type":"markdown","metadata":{},"source":["In the Python programming language, encoding represents a Unicode string as a string of bytes. This commonly occurs when you transfer an instance over a network or save it to a disk file. Decoding transforms a string of bytes into a Unicode string. This happens when you receive a string of bytes from a disk file or the network."]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.10"}},"nbformat":4,"nbformat_minor":2} 2 | -------------------------------------------------------------------------------- /leetcode/L1115.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | def numRollsToTarget(self, n: int, k: int, target: int) -> int: 3 | """ 4 | dp[i][j]表示第i次投掷骰子, 得到总和为j的方式数 5 | 【边界条件】dp[1][j] = 1, j >= 1 and j <= k 6 | 【递推方程式】dp[i][j] = sum(dp[i-1][j-x] for x in range(1, k+1) if j-x>=0) 7 | """ 8 | mod = 1000000007 9 | dp = [[0] * (target + 1) for _ in range(n + 1)] 10 | 11 | # 初始化 12 | for j in range(1, min(k, target) + 1): 13 | dp[1][j] = 1 14 | 15 | for i in range(2, n + 1): 16 | for j in range(1, target + 1): 17 | for x in range(1, k + 1): 18 | if j - x >= 0: 19 | dp[i][j] = (dp[i][j] + dp[i-1][j-x]) % mod 20 | 21 | return dp[n][target] 22 | 23 | if __name__ == "__main__": 24 | s = Solution() 25 | ans = s.numRollsToTarget(1, 6, 3) 26 | print(ans) -------------------------------------------------------------------------------- /leetcode/L1402.py: -------------------------------------------------------------------------------- 1 | """ 2 | 2023/10/22 leetcode daily problem 3 | """ 4 | class Solution: 5 | def maxSatisfaction(self, satisfaction: list[int]) -> int: 6 | """ 7 | 暴力 8 | 9 | 1. sort, 2. dp 10 | 你可以按 任意 顺序安排做菜的顺序，你也可以选择放弃做某些菜来获得更大的总和。 11 | dp[i] = max(dp[i-1], dp[i-1]+sa[i]*time[i]) 12 | time[i] = time[i-1] + 1? 13 | 14 | how to dp? 15 | 1. formula 16 | 2. initial 17 | """ 18 | satisfaction = sorted(satisfaction) 19 | # print(satisfaction) 20 | n = len(satisfaction) 21 | ans = 0 22 | for i in range(n): 23 | res = 0 24 | for j in range(i, n): 25 | res += satisfaction[j] * (j-i+1) 26 | ans = max(ans, res) 27 | return ans 28 | 29 | def maxSatisfaction2(self, satisfaction: list[int]) -> int: 30 | """ 31 | greedy 32 | """ 33 | satisfaction.sort(key = lambda x:-x) # python lambda sort 34 | n = len(satisfaction) 35 | pre, ans = 0, 0 36 | for si in satisfaction: 37 | if pre + si > 0: 38 | pre += si 39 | ans += pre 40 | else: 41 | break 42 | return ans 43 | 44 | 45 | if __name__ == "__main__": 46 | s = Solution() 47 | satisfaction = [-1,-8,0,5,-9] 48 | ans = s.maxSatisfaction2(satisfaction) 49 | print(ans) -------------------------------------------------------------------------------- /leetcode/L1465.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | def maxArea(self, h: int, w: int, horizontalCuts: list[int], verticalCuts: list[int]) -> int: 3 | """ 4 | 绝对暴力, 无脑惨胜 5 | """ 6 | mod = 1000000007 7 | horizontalCuts.sort() 8 | verticalCuts.sort() 9 | hh = [] 10 | vv = [] 11 | hn = len(horizontalCuts) 12 | vn = len(verticalCuts) 13 | hh.append(horizontalCuts[0]) 14 | for i in range(1, hn): 15 | hh.append(horizontalCuts[i] - horizontalCuts[i - 1]) 16 | hh.append(h - horizontalCuts[hn - 1]) 17 | print(hh) 18 | 19 | 20 | vv.append(verticalCuts[0]) 21 | for i in range(1, vn): 22 | vv.append(verticalCuts[i] - verticalCuts[ i - 1]) 23 | vv.append(w - verticalCuts[vn - 1]) 24 | print(vv) 25 | 26 | # ans = 0 27 | amax = max(hh) 28 | bmax = max(vv) 29 | print(amax) 30 | print(bmax) 31 | ans = 0 32 | ans = int((amax * bmax) % mod) # 太大的数太大的数 int() 33 | return ans 34 | 35 | if __name__ == "__main__": 36 | h = 1000000000 37 | w = 1000000000 38 | horizontalCuts = [2] 39 | verticalCuts = [2] 40 | s = Solution() 41 | ans = s.maxArea(h, w, horizontalCuts, verticalCuts) # 预期结果 81 42 | print(ans) -------------------------------------------------------------------------------- /leetcode/L1726.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | 3 | # chatgpt可以 4 | def tupleSameProduct(self, nums: list[int]) -> int: 5 | from collections import defaultdict # 常规的dict不能access和modify keys that don’t exist in the dictionary. 6 | map = defaultdict(int) 7 | n = len(nums) 8 | ans = 0 9 | for i in range(n): 10 | for j in range(i+1, n): 11 | v = nums[i] * nums[j] 12 | map[v] +=1 13 | ans += (map[v]-1) * 8 14 | print(ans) 15 | return ans 16 | 17 | if __name__ == "__main__": 18 | s = Solution() 19 | nums = [2,3,4,6] 20 | ans = s.tupleSameProduct(nums=nums) 21 | print(ans) 22 | -------------------------------------------------------------------------------- /leetcode/L2003.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | def smallestMissingValueSubtree(self, parents: list[int], nums: list[int]) -> list[int]: 3 | """ 4 | copy copy 5 | """ 6 | n = len(parents) 7 | children = [[] for _ in range(n)] 8 | for i in range(1, n): 9 | children[parents[i]].append(i) 10 | 11 | res = [1 for _ in range(n)] 12 | def dfs(node): 13 | geneSet = {nums[node]} 14 | for child in children[node]: 15 | childGeneSet, y = dfs(child) 16 | res[node] = max(res[node], y) 17 | if len(childGeneSet) > len(geneSet): 18 | geneSet, childGeneSet = childGeneSet, geneSet 19 | geneSet.update(childGeneSet) 20 | while res[node] in geneSet: 21 | res[node] += 1 22 | return geneSet, res[node] 23 | 24 | dfs(0) 25 | return res 26 | 27 | -------------------------------------------------------------------------------- /leetcode/L2316.py: -------------------------------------------------------------------------------- 1 | """ 2 | Implementation of a union-find! 3 | If you want to do doctest: 4 | python3 -m doctest -v union_find.py 5 | """ 6 | 7 | 8 | class UnionFind: 9 | def __init__(self, n: int) -> None: 10 | """ 11 | Initialize a unionfind 12 | n is the numbers of the initial trees 13 | """ 14 | self.pa = list(range(n)) 15 | self.size = [1] * n # size of the current 16 | 17 | def find(self, x: int) -> int: 18 | """ 19 | Returns the parent of the element x (root element). 20 | >>> uf = UnionFind(3) 21 | >>> uf.find(2) 22 | 2 23 | >>> uf.find(1) 24 | 1 25 | """ 26 | if self.pa[x] != x: 27 | self.pa[x] = self.find(self.pa[x]) 28 | return self.pa[x] 29 | 30 | def union(self, x: int, y: int) -> None: 31 | """ 32 | x and y are trees. 33 | Returns the union of tree x and tree y. 34 | we connect a tree with fewer nodes to another tree. 35 | >>> uf = UnionFind(9) 36 | >>> uf.union(2,3) 37 | >>> uf.find(3) 38 | 2 39 | >>> uf.union(3,4) 40 | >>> uf.find(4) 41 | 2 42 | """ 43 | x, y = self.find(x), self.find(y) 44 | if x == y: 45 | return 46 | if self.size[x] < self.size[y]: 47 | x, y = y, x 48 | self.pa[y] = x 49 | self.size[x] += self.size[y] 50 | 51 | def get_size(self, x: int) -> int: 52 | """ 53 | Returns the size of tree x that contains its children 54 | x is the tree that you want to get its size 55 | >>> uf = UnionFind(4) 56 | >>> uf.get_size(1) 57 | 1 58 | >>> uf.union(1,2) 59 | >>> uf.get_size(1) 60 | 2 61 | """ 62 | return self.size[x] 63 | 64 | class Solution: 65 | def countPairs(self, n: int, edges: list[list[int]]) -> int: 66 | uf = UnionFind(n) 67 | for i, j in edges: 68 | uf.union(i, j) 69 | 70 | ans = 0 71 | for i in range(n): 72 | ans += n - uf.get_size(uf.find(i)) 73 | 74 | return ans // 2 75 | 76 | if __name__ == "__main__": 77 | s = Solution() 78 | edges = [[0,2],[0,5],[2,4],[1,6],[5,4]] 79 | n = 7 80 | ans = s.countPairs(n, edges) 81 | print(ans) 82 | -------------------------------------------------------------------------------- /leetcode/L2520.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | def countDigits(self, num: int) -> int: 3 | ans = 0 4 | n = num 5 | while num > 0: 6 | a = num % 10 7 | if n % a == 0: 8 | # print(a) 9 | ans += 1 10 | num = num // 10 # // 才是整除 11 | # print(num) 12 | return ans -------------------------------------------------------------------------------- /leetcode/L2525.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | def categorizeBox(self, length: int, width: int, height: int, mass: int) -> str: 3 | a, b = False, False 4 | if length >= 1e4 or width >= 1e4 or height >= 1e4 or length*width*height >= 1e9: 5 | a = True # "Bulky" 6 | if mass >= 100: 7 | b = True # "Heavy" 8 | if a and b: 9 | return "Both" 10 | elif not a and not b: 11 | return "Neither" 12 | elif a and not b: 13 | return "Bulky" 14 | else: 15 | return "Heavy" 16 | 17 | 18 | if __name__ == "__main__": 19 | s = Solution() 20 | length = 1000 21 | width = 35 22 | height = 700 23 | mass = 300 24 | ans = s.categorizeBox(length=length, width=width, height=height, mass=mass) 25 | print(ans) -------------------------------------------------------------------------------- /leetcode/L2530.py: -------------------------------------------------------------------------------- 1 | import heapq 2 | class Solution: 3 | def maxKelements(self, nums: list[int], k: int) -> int: 4 | q = [-x for x in nums] # heapq默认是小根堆... 5 | heapq.heapify(q) 6 | 7 | ans = 0 8 | for _ in range(k): 9 | x = heapq.heappop(q) 10 | ans += -x 11 | heapq.heappush(q, -((-x+2)//3)) 12 | return ans 13 | 14 | if __name__ == "__main__": 15 | s = Solution() 16 | nums = [1,10,3,3,3] 17 | k = 3 18 | ans = s.maxKelements(nums=nums, k=k) 19 | print(ans) -------------------------------------------------------------------------------- /leetcode/L2558.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | 3 | def pickGifts(self, gifts: list[int], k: int) -> int: 4 | """ 5 | 周六了, 宿舍浅浅码一下, 同时自我反省。。 6 | 我不要去抱怨, 而要去反省。 7 | 我就是太傲了, 反观自省, 缺乏同理心, 老是觉得别人亏欠自己的, 我太幼稚了。。。 8 | """ 9 | import heapq 10 | import math 11 | q = [-i for i in gifts] # python默认是最小堆, 负数形式表示最大堆... 12 | heapq.heapify(q) 13 | while k > 0: 14 | x = heapq.heappop(q) 15 | heapq.heappush(q, -int(math.sqrt(-x))) 16 | k -= 1 17 | return -sum(q) 18 | 19 | if __name__ == "__main__": 20 | s = Solution() 21 | gifts = [25,64,9,4,100] 22 | k = 4 23 | print(s.pickGifts(gifts, k)) -------------------------------------------------------------------------------- /leetcode/L2678.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | def countSeniors(self, details: list[str]) -> int: 3 | # ans = 0 4 | # for detail in details: 5 | # if int(detail[11:13]) > 60: 6 | # ans += 1 7 | # return ans 8 | return sum(1 for detail in details if detail[11:13] > '60') 9 | 10 | if __name__ == "__main__": 11 | s = Solution() 12 | detailes = ["7868190130M7522","5303914400F9211","9273338290F4010"] 13 | ans = s.countSeniors(detailes) 14 | print(ans) -------------------------------------------------------------------------------- /leetcode/L2698.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | def punishmentNumber(self, n: int) -> int: 3 | def find(num: int,s: str, pos: int, sum: int) -> bool: 4 | """ 5 | 判断字符串是否满足存在数据段, 使其数字化之后, 各位之和相加等于初始数据. 6 | """ 7 | if pos == len(s): # 终止条件 8 | print(sum, num) 9 | return sum == num 10 | cur = 0 11 | for i in range(pos, len(s)): 12 | cur = cur * 10 + int(s[i]) 13 | if (sum + cur> num): 14 | break 15 | if find(num, s, i+1, sum + cur): 16 | # print(sum) 17 | return True 18 | return False 19 | 20 | ans = 0 21 | for i in range(1, n+1): 22 | t = i * i 23 | if find(i, str(t), 0, 0): 24 | ans += t 25 | return ans 26 | 27 | 28 | if __name__ == "__main__": 29 | s = Solution() 30 | n = 10 31 | print(s.punishmentNumber(n)) 32 | -------------------------------------------------------------------------------- /leetcode/L274.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | def hIndex(self, citations: list[int]) -> int: 3 | """ 4 | h指数 计算器... 5 | 6 | 排序 7 | """ 8 | citations.sort(reverse=True) # 降序 9 | h = 0 10 | i = 0 11 | n = len(citations) 12 | while i < n and citations[i] > h: 13 | h += 1 14 | i += 1 15 | return h 16 | 17 | def hindex(self, citations: list[int]) -> int: 18 | return sum(x > i for i, x in enumerate(sorted(citations, reverse = True))) 19 | 20 | if __name__ == "__main__": 21 | s = Solution() 22 | c = [7, 8, 9] 23 | ans = 0 24 | ans = s.hindex(c) 25 | print(ans) -------------------------------------------------------------------------------- /leetcode/L275.py: -------------------------------------------------------------------------------- 1 | class Solution: 2 | def hIndex(self, citations: list[int]) -> int: 3 | """ 4 | binary search 5 | """ 6 | n = len(citations) 7 | l, r = 0, n - 1 8 | while (l < r): 9 | m = (l + r) // 2 10 | if citations[m] >= n - m: 11 | r = m 12 | else: 13 | l = m + 1 14 | return n - r if citations[r] >= n - r else 0 15 | 16 | if __name__ == "__main__": 17 | s = Solution() 18 | citations = [0,1,3,5,6] 19 | ans = s.hIndex(citations) 20 | print(ans) 21 | -------------------------------------------------------------------------------- /leetcode/L318.py: -------------------------------------------------------------------------------- 1 | from functools import reduce 2 | from itertools import product 3 | 4 | class Solution: 5 | # def judge(self, s1: str, s2: str) -> bool: 6 | # n1, n2 = len(s1), len(s2) 7 | # for i in range(n1): 8 | # for j in range(n2): 9 | # if s1[i] == s2[j]: 10 | # return False 11 | # return True 12 | 13 | 14 | # def maxProduct(self, words: list[str]) -> int: 15 | # """ 16 | # 时间复杂度太高。。。 17 | # """ 18 | # n = len(words) 19 | # ans = 0 20 | # for i in range(n): 21 | # for j in range(i, n): 22 | # if self.judge(words[i], words[j]): 23 | # ans = max(ans, len(words[i]) * len(words[j])) 24 | # return ans 25 | 26 | def maxProduct(self, words: list[str]) -> int: 27 | masks = [reduce(lambda a, b: a | (1 << (ord(b) - ord('a'))), word, 0) for word in words] 28 | return max((len(x[1]) * len(y[1]) for x, y in product(zip(masks, words), repeat=2) if x[0] & y[0] == 0), default=0) 29 | 30 | 31 | 32 | if __name__ == "__main__": 33 | s = Solution() 34 | words = ["a","aa","aaa","aaaa"] 35 | ans = s.maxProduct(words) 36 | print(ans) 37 | -------------------------------------------------------------------------------- /leetcode/README.md: -------------------------------------------------------------------------------- 1 | # 力扣刷题录 2 | ## 10月 3 | - [x] 10/22【做菜顺序】暴力|贪心, python的sort: array.sort(key = lambda x:-x) 降序排序 4 | - [x] 10/23【老人的数目】数组切片, 比较 5 | - [x] 10/24【掷骰子等于目标和的方法数】dp 6 | - [x] 10/25【求一个整数的惩罚数目】回溯,我不是很会的... 7 | - [x] 10/26【统计能整除数字的位数】简单 8 | - [x] 10/27【切割后面积最大的蛋糕】排序+遍历+大数运算 9 | - [x] 10/28【从数量最多的堆取走礼物】最大堆 10 | - [x] 10/29【H指数】排序 11 | - [x] 10/30【H指数II】排序+二分 12 | - [ ] 11/6 【最大单词长度乘积】位运算 -------------------------------------------------------------------------------- /movie.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/movie.gif -------------------------------------------------------------------------------- /oop/Python OOP.xmind: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/oop/Python OOP.xmind -------------------------------------------------------------------------------- /oop/Python OOP1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/oop/Python OOP1.png -------------------------------------------------------------------------------- /oop/README.md: -------------------------------------------------------------------------------- 1 | # Python和OOP 2 | - [ ] Alan Curtis Kay在面向对象编程和窗口式图形用户界面方面作出了先驱性贡献，他是Smalltalk的最初设计者。2003年获得图灵奖。 3 | ## Python中的OOP 4 | - [ ] python的多重继承体系 5 | -------------------------------------------------------------------------------- /oop/items.csv: -------------------------------------------------------------------------------- 1 | name,price,quantity 2 | "Phone",100,1 3 | "Laptop",1000,3 4 | "Cable",10,5 5 | "Mouse",50,5 6 | "Keyboard",75.1,5 -------------------------------------------------------------------------------- /oop/items.py: -------------------------------------------------------------------------------- 1 | """ 2 | hello oop 3 | 我想要熟悉python中的oop编程 4 | ref: https://www.youtube.com/watch?v=Ej_02ICOIgs 5 | https://github.com/jimdevops19/PythonOOP/tree/main 6 | 7 | 9-24 night 看了1h的视频了,循序渐进娓娓而谈很有收获 8 | 明晚继续补,从csv读取实例化的对象打印出来有点问题的... 9 | 10 | 9-25 11 | 已经解决 定义一个全局列表all 12 | """ 13 | import gc 14 | import csv 15 | 16 | class Item: 17 | pay_rate = 0.8 18 | all = [] 19 | def __init__(self, name: str, price: float, quantity = 0): 20 | # Run validations to the received arguments 21 | assert price >= 0, f"Price {price} is not greater than zero!" 22 | assert quantity >= 0, f"Quantity {quantity} is not greator than zero!" 23 | 24 | # Assign to self object 25 | self.name = name 26 | self.price = price 27 | self.quantity = quantity 28 | 29 | Item.all.append(self) 30 | 31 | 32 | def calculate_total_price(self): 33 | return self.price * self.quantity 34 | 35 | def apply_discount(self): 36 | return self.price * self.pay_rate 37 | 38 | # represent an object 39 | def __repr__(self): 40 | # print(f"{self.name}") 41 | return self.name 42 | 43 | # 类方法 44 | @classmethod 45 | def insantiate_from_csv(cls): 46 | f = open("./items.csv", "r") 47 | # print("open~") 48 | reader = csv.DictReader(f) 49 | items = list(reader) # dict -> list 50 | # print(items) 51 | 52 | for item in items: 53 | Item( 54 | name=item.get("name"), 55 | price=int(item.get("price")), 56 | quantity=int(item.get("quantity")) 57 | ) 58 | # print("success!") 59 | # print(item) 60 | 61 | @staticmethod 62 | def is_integer(num): 63 | if isinstance(num, float): 64 | return num.is_integer() 65 | elif isinstance(num, int): 66 | return True 67 | else: 68 | return False 69 | 70 | # Item.insantiate_from_csv() 71 | # print(Item.all) 72 | print(Item.is_integer(7.5)) 73 | 74 | -------------------------------------------------------------------------------- /plans/README.md: -------------------------------------------------------------------------------- 1 | # 计划 2 | 一些计划，不怎么在这里更新的 3 | -------------------------------------------------------------------------------- /plans/plan.md: -------------------------------------------------------------------------------- 1 | # 计划 2 | 精通Python，熟悉Python安全和数据分析\ 3 | 完成比完美更重要，有规划去做然后慢慢改进比一步登天安美更重要\ 4 | 自己的行动和思想都控制不了，如何控制自己的人生呢？\ 5 | 每天持续的主题包括操练Python，立志成为Python最熟练的人. -------------------------------------------------------------------------------- /projects/README.md: -------------------------------------------------------------------------------- 1 | # 项目 2 | 这个目录下是我的所有项目 3 | ## 网络爬虫 4 | - [ ] 在spiders目录下是我自己的爬虫项目 5 | - [ ] 爬虫是计算机的IO密集型劳动，CPU越大性能越好 6 | - [ ] 感谢requests库!!!!!! 7 | ## 文件处理 8 | - [ ] excel的文件处理和pandas, openpyxl密切联系 9 | - [ ] pdf2text目录是我失败的外包项目，诚实守信，对客户负责! 10 | - [ ] excel_process是帮金融学生处理excel数据 11 | -------------------------------------------------------------------------------- /projects/course-completion/README.md: -------------------------------------------------------------------------------- 1 | # 需求 2 | 帮前辈大叔完成课程最后一项 3 | -------------------------------------------------------------------------------- /projects/course-completion/requirements.doc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/projects/course-completion/requirements.doc 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【输入】A股公开市场数据.xlsx\ 4 | 【输出】新增加两列, 对于已有列的数据处理和提取 5 | 6 | # 处理方案 7 | 1. 采用pandas读取excel表 8 | 2. 无脑暴力硬核处理数据 9 | 3. 值得一提,需要根据地址列提取省份信息,由于只有一个省份"内蒙古"是3个字的, 直接清一色提取前两个字了... 10 | 11 | # 遇到的问题 12 | 1. 因为我是采用边实现,边print的方法来测试, print有中文数据的那一列的时候,在output打印输出的都是乱码。。。排查之后, pandas读取没问题, 数据也没问题, 不知问题是哪里? 客户于是说先写代码逻辑吧, 然后发现数据处理之后, 写入表格的最终数据则是没有乱码的... 13 | 2. 破案了,问题在于我的vscode呈现界面。。。 ,问题在于vscode上python文件点击运行按钮之后, 默认运行的是output, 但是我的output界面一直一直是乱码的, 一直一直没有处理。。。在普通的terminal打开运行就没有那门子鸟事, 破案啦。。。 14 | 3. 【处理策略】在windows上添加环境变量: PYTHONIOENCODING=UTF8 15 | 16 | # 扩展思考 17 | 在计算机中, **编码** 是什么? -------------------------------------------------------------------------------- /projects/excel_process/process.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | # import sys 3 | # sys.stdout = open(sys.stdout.fileno(), mode='w', encoding='utf-8', buffering=1) 4 | 5 | file = '.\A股公开市场数据.xlsx' 6 | df = pd.read_excel(file, engine='openpyxl') 7 | # print(df) 8 | column_1 = df['证券代码'] 9 | column_2 = df['证券简称'] 10 | temp0 = [] # 存储市场代码 11 | temp1 = [] # 存储证券代码前6位 12 | temp2 = [] # 存储证券简称 13 | for i in column_1: 14 | if (i[-2:] == 'SZ'): 15 | temp0.append('0' + '-') 16 | else: 17 | temp0.append('1' + '-') 18 | for i in column_1: 19 | temp1.append(i[:6]) 20 | for i in column_2: 21 | temp2.append(i + "-") 22 | 23 | # 题目2的数据列 24 | ans1 = [a + b + c for a, b, c in zip(temp0, temp2, temp1)] 25 | print(ans1) 26 | df['代码'] = ans1 27 | with pd.ExcelWriter('.\A股公开市场数据.xlsx', engine='openpyxl') as writer: 28 | df.to_excel(writer, index=False) 29 | 30 | """ 31 | 省份一般 都是 两个字的, 除了 内蒙古, 以及一些特殊的 譬如 中国香港 32 | """ 33 | t1 = df['省份'] 34 | ans1 = [] 35 | for i in t1: 36 | p = i[:2] 37 | if i[:3] == '内蒙古': 38 | p = i[:3] 39 | if i[:4] == '中国香港': 40 | p = i[:5] 41 | # print(p) 42 | ans1.append(p) 43 | print(ans1) 44 | df['省份信息'] = ans1 45 | with pd.ExcelWriter('.\A股公开市场数据.xlsx', engine='openpyxl') as writer: 46 | df.to_excel(writer, index=False) 47 | -------------------------------------------------------------------------------- /projects/excel_process/read.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | 3 | """ 4 | 2023/10/27 5 | 世人以不动心为耻， 6 | pandas读取excel文件,乱码了。。。 7 | 8 | 破案了 9 | 10 | """ 11 | import sys 12 | sys.stdout.reconfigure(encoding='utf-8') 13 | 14 | 15 | file = '.\A股公开市场数据.xlsx' 16 | df = pd.read_excel(file, engine='openpyxl') 17 | print(df) -------------------------------------------------------------------------------- /projects/image-process/README.md: -------------------------------------------------------------------------------- 1 | # 项目总结 2 | 帮海南某学生完成图像处理，将图像中所有圆形检测出来 3 | # 如何完成 4 | 把opencv圆形检测的官方demo拿出来改一改 5 | -------------------------------------------------------------------------------- /projects/image-process/all.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/projects/image-process/all.png -------------------------------------------------------------------------------- /projects/image-process/circle_detect.py: -------------------------------------------------------------------------------- 1 | """ 2 | opencv-python docs demo 3 | """ 4 | import sys 5 | import cv2 as cv 6 | import numpy as np 7 | def main(argv): 8 | 9 | default_file = 'smarties.png' 10 | filename = argv[0] if len(argv) > 0 else default_file 11 | # Loads an image 12 | src = cv.imread(cv.samples.findFile(filename), cv.IMREAD_COLOR) 13 | # Check if image is loaded fine 14 | if src is None: 15 | print ('Error opening image!') 16 | print ('Usage: hough_circle.py [image_name -- default ' + default_file + '] \n') 17 | return -1 18 | 19 | 20 | gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY) 21 | 22 | gray = cv.medianBlur(gray, 5) # 均值滤波 23 | 24 | rows = gray.shape[0] 25 | """ 26 | 此处调参, Minimum distance(第3个参数) between the centers of the detected circles. 27 | If the parameter is too small, multiple neighbor circles may be falsely detected 28 | in addition to a true one. 29 | If it is too large, some circles may be missed. 30 | """ 31 | circles = cv.HoughCircles(gray, cv.HOUGH_GRADIENT, 1, rows / 40, 32 | param1=100, param2=30, 33 | minRadius=1, maxRadius=30) 34 | 35 | if circles is not None: 36 | circles = np.uint16(np.around(circles)) 37 | for i in circles[0, :]: 38 | center = (i[0], i[1]) 39 | # circle center 40 | cv.circle(src, center, 1, (0, 100, 100), 3) 41 | # circle outline 42 | radius = i[2] 43 | cv.circle(src, center, radius, (255, 0, 255), 3) 44 | 45 | 46 | cv.imshow("detected circles", src) 47 | cv.waitKey(0) 48 | 49 | return 0 50 | if __name__ == "__main__": 51 | main(sys.argv[1:]) -------------------------------------------------------------------------------- /projects/image-process/circle_detector.py: -------------------------------------------------------------------------------- 1 | """ 2 | 需求: 给你一张图像, 检测出这张图像中的圆形物体出来 3 | 方法: hough transform 4 | Detecting Circles in Images using OpenCV and Hough Circles 5 | ref: https://docs.opencv.org/3.4/d4/d70/tutorial_hough_circle.html 6 | """ 7 | import sys 8 | import cv2 as cv 9 | import numpy as np 10 | def main(argv): 11 | 12 | default_file = 'smarties.png' 13 | filename = argv[0] if len(argv) > 0 else default_file 14 | # Loads an image 15 | src = cv.imread(cv.samples.findFile(filename), cv.IMREAD_COLOR) 16 | # Check if image is loaded fine 17 | if src is None: 18 | print ('Error opening image!') 19 | print ('Usage: hough_circle.py [image_name -- default ' + default_file + '] \n') 20 | return -1 21 | 22 | 23 | gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY) 24 | 25 | 26 | gray = cv.medianBlur(gray, 5) 27 | 28 | print(gray.shape) 29 | rows = gray.shape[0] 30 | # 调参, 检测圆形... 31 | circles = cv.HoughCircles(gray, cv.HOUGH_GRADIENT, 1, rows / 40, 32 | param1=100, param2=30, 33 | minRadius=1, maxRadius=30) 34 | 35 | circle_data = [] 36 | cropped_images = [] 37 | 38 | if circles is not None: 39 | circles = np.uint16(np.around(circles)) 40 | for i in circles[0, :]: 41 | center = (i[0], i[1]) 42 | radius = i[2] 43 | 44 | # circle center 45 | # cv.circle(src, center, 1, (0, 100, 100), 3) 46 | # circle outline 47 | # cv.circle(src, center, radius, (255, 0, 255), 3) 48 | 49 | circle_data.append((center, radius)) 50 | 51 | x = center[0] - radius 52 | y = center[1] - radius 53 | w = h = radius * 2 54 | 55 | cropped = src[y:y+h, x:x+w] 56 | cropped_images.append(cropped) 57 | 58 | for i, cropped in enumerate(cropped_images): 59 | filename = "D:\\Python\\Python\\projects\\image-process\\tiny_circles\\" + str(i) + ".png" 60 | cv.imwrite(filename, cropped) 61 | 62 | cv.imshow("detected circles", src) 63 | cv.waitKey(0) 64 | 65 | return 0 66 | if __name__ == "__main__": 67 | main(sys.argv[1:]) -------------------------------------------------------------------------------- /projects/image-process/circles_combine.py: -------------------------------------------------------------------------------- 1 | """ 2 | 需求: 将裁剪得到的如是多的小圆拼接成一张图片 3 | 实现: 4 | 我统计了一下已总共有204张图片目前, 可以选取196张(14*14) 5 | 然后这些小正方形图片满足shape的min是36, max是58, 可以统一拉大为58 6 | """ 7 | import os 8 | import math 9 | import cv2 as cv 10 | import numpy as np 11 | from PIL import Image 12 | 13 | def get_all(path): 14 | files = [] 15 | for file in os.listdir(path): 16 | files.append(os.path.join(path, file)) 17 | return files 18 | 19 | def convertpng(in_path, ou_path, width, height): 20 | files = get_all(in_path) 21 | for file in files: 22 | img = Image.open(file) 23 | try: 24 | new_img = img.resize((width, height), Image.BILINEAR) 25 | if not os.path.exists(ou_path): 26 | os.mkdir(ou_path) 27 | # 强制性保证所有的图像文件是同一种shape 28 | # if np.array(img).shape != (width, height, 3): 29 | # continue 30 | new_img.save(os.path.join(ou_path, os.path.basename(file))) 31 | except Exception as e: 32 | print(e) 33 | 34 | def combine_images(path): 35 | """ 36 | 将图片们都拼接起来 37 | """ 38 | image_files = get_all(path) 39 | 40 | num_images = len(image_files) 41 | side_length = 14 # math.ceil(math.sqrt(num_images)) 42 | adjust_size = 60 43 | 44 | combined_image = Image.new("RGB", (side_length * adjust_size, side_length * adjust_size)) 45 | 46 | # 拼接图像 47 | x_offset = y_offset = 0 48 | for image_file in image_files: 49 | image = Image.open(image_file) 50 | image = image.resize((adjust_size, adjust_size), Image.BILINEAR) 51 | combined_image.paste(image, (x_offset, y_offset)) 52 | x_offset += adjust_size 53 | if x_offset >= side_length * adjust_size: 54 | x_offset = 0 55 | y_offset += adjust_size 56 | 57 | # 保存拼接后的图像 58 | combined_image.save("all.png") 59 | 60 | 61 | # in_path = "D:\Python\Python\projects\image-process\\tiny_circles" 62 | ou_path = "D:\Python\Python\projects\image-process\\resize_circles" 63 | # convertpng(in_path, ou_path, 100, 100) 64 | combine_images(ou_path) 65 | 66 | 67 | 68 | -------------------------------------------------------------------------------- /projects/image-process/demo.py: -------------------------------------------------------------------------------- 1 | import cv2 2 | import numpy as np 3 | 4 | def detect_non_black_circles(image_path): 5 | # 读取图片 6 | image = cv2.imread(image_path) 7 | 8 | # 转换为灰度图像 9 | gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) 10 | 11 | # 对图像进行阈值处理，将非黑色区域变为白色 12 | _, threshold = cv2.threshold(gray, 1, 255, cv2.THRESH_BINARY) 13 | 14 | # 检测圆形 15 | circles = cv2.HoughCircles(threshold, cv2.HOUGH_GRADIENT, dp=1, minDist=110, param1=100, param2=20, minRadius=0, maxRadius=40) 16 | 17 | # 提取圆形的位置和半径 18 | if circles is not None: 19 | circles = np.round(circles[0, :]).astype(int) 20 | for (x, y, r) in circles: 21 | # 检查圆形位置对应的像素值是否非黑色 22 | # if image[y, x, 0] != 0 or image[y, x, 1] != 0 or image[y, x, 2] != 0: 23 | # 绘制圆形 24 | cv2.circle(image, (x, y), r, (0, 255, 0), 1) 25 | 26 | # 显示结果 27 | cv2.imshow("Result", image) 28 | cv2.waitKey(0) 29 | cv2.destroyAllWindows() 30 | 31 | # 调用函数进行测试 32 | image_path = "D:\\Python\\Python\\projects\\image-process\\image.jpg" 33 | detect_non_black_circles(image_path) -------------------------------------------------------------------------------- /projects/image-process/fantastic.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/projects/image-process/fantastic.png -------------------------------------------------------------------------------- /projects/image-process/image.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/projects/image-process/image.jpg -------------------------------------------------------------------------------- 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'D:\\Python-dragon\\Python-dragon\\projects\\pdf2text\\Redis 3.0 中文版 - v1.1.txt' 19 | pdf_to_txt(pdf_path, txt_path) -------------------------------------------------------------------------------- /projects/qinsi/README.md: -------------------------------------------------------------------------------- 1 | # 项目总结 2 | 人生, 真是寂寞如雪呀... 3 | 【需求】帮客户解决好登录获取数据,数据处理, 存储excel问题 4 | 【难点】 5 | 1. 必须要和客户沟通, 了解清楚业务逻辑, 沟通第一, 客户第一 6 | 2. verify=False解决https的连接错误 7 | 3. 通过不断获取最新cookie解决登录问题 8 | -------------------------------------------------------------------------------- /projects/qinsi/dist/demoqinsi4(2).exe: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/projects/qinsi/dist/demoqinsi4(2).exe -------------------------------------------------------------------------------- /projects/qinsi/dist/demoqinsi4.exe: 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-------------------------------------------------------------------------------- 1 | """ 2 | 加深对format方法的使用 3 | 在复杂情况下 4 | 在 f-string 中，如果您要嵌入字典或其他复杂对象，可以使用花括号的双花括号形式来转义。 5 | """ 6 | passwd = 123 7 | data = f'{{"user":"111","passwd":{passwd}}}' 8 | print(data) -------------------------------------------------------------------------------- /projects/qinsi/md5.py: -------------------------------------------------------------------------------- 1 | import hashlib 2 | 3 | def getmd5(passwd): 4 | md5 = hashlib.md5() 5 | md5.update(passwd.encode("utf-8")) 6 | ans = md5.hexdigest() 7 | return ans.upper() 8 | 9 | # passwd = "111" 10 | # ans = getmd5(passwd) # 698D51A19D8A121CE581499D7B701668 11 | # print(ans) 12 | 13 | passwd = input("输入 密码: ") 14 | ans = getmd5(passwd) 15 | print("md5加密后: ",ans) 16 | input("请输入任意键结束") -------------------------------------------------------------------------------- /projects/qinsi/requirements.txt: 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pandas as pd 3 | 4 | def clean(path): 5 | df = pd.read_excel(path) 6 | 7 | df = df[df['title'].notnull()] 8 | 9 | pth = path.split('_') 10 | print(f"{pth[0]}文件有{len(df)}条数据!") 11 | 12 | out = pth[0] + '_' + str(len(df)) + '条.xlsx' 13 | df.to_excel(out, index=False) 14 | print(f"{out}文件保存成功!") 15 | os.remove(path) 16 | 17 | return len(df) 18 | 19 | if __name__ == "__main__": 20 | d1 = 2564 #clean("动漫_2715条.xlsx") 21 | d2 = clean("少儿_5048条.xlsx") 22 | d3 = clean("电影_5060条.xlsx") 23 | d4 = clean("纪录片_4594条.xlsx") 24 | d5 = clean("电视剧_3157条.xlsx") 25 | d6 = clean("综艺_2378条.xlsx") 26 | print(f"腾讯视频文件们总数据条数{d1+d2+d3+d4+d5+d6}!") # 腾讯视频文件们总数据条数21182! -------------------------------------------------------------------------------- /projects/spiders/find_comment.py: -------------------------------------------------------------------------------- 1 | import base64 2 | """ 3 | 腾讯视频的评论是base64编码的... 4 | """ 5 | 6 | encoded_str = "5b6L5biI5LuW5aaI6LCB5Y675pWR6LWO77yf" 7 | decoded_bytes = base64.b64decode(encoded_str) 8 | decoded_text = decoded_bytes.decode('utf-8') 9 | 10 | print(decoded_text) -------------------------------------------------------------------------------- /projects/spiders/json_ops.py: -------------------------------------------------------------------------------- 1 | import json 2 | """ 3 | json serialization and deserialization 4 | 5 | """ 6 | 7 | json_string = '{"name": "John", "age": 30, "city": "New York"}' 8 | 9 | # 将JSON字符串转换为Python对象 10 | parsed_data = json.loads(json_string) 11 | 12 | # 打印转换后的Python对象 13 | print(parsed_data) -------------------------------------------------------------------------------- /projects/spiders/mango_tv.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | import requests 3 | from bs4 import BeautifulSoup 4 | 5 | MGTV_URL = "https://www.mgtv.com" 6 | MOVIE_URL = "https://pianku.api.mgtv.com/rider/list/pcweb/v3" 7 | COMMENT_URL = "https://comment.mgtv.com/v4/comment/getCommentList" 8 | session = requests.Session() 9 | movie_search_params = { 10 | "allowedRC": 1, 11 | "platform": "pcweb", 12 | "channelId": 3, 13 | "hudong": 1, 14 | "kind": "a1", 15 | "edition": "a1", 16 | "area": "a1", 17 | "year": "all", 18 | "chargeInfo": "a1", 19 | "sort": "c2", 20 | "pn": 1, 21 | "pc": 80, 22 | } 23 | res = session.get(MOVIE_URL, params=movie_search_params) 24 | hit_docs = res.json()["data"]["hitDocs"] 25 | 26 | 27 | def get_movie_comment(subject_id): 28 | comment_search_params = { 29 | "page": 1, 30 | "subjectType": "hunantv2014", 31 | "subjectId": subject_id, 32 | } 33 | res = session.get(COMMENT_URL, params=comment_search_params) 34 | # print(res.json()) 35 | comments = res.json()["data"]["list"] 36 | com = [] 37 | for comment in comments: 38 | com.append(comment["content"]) 39 | return com 40 | 41 | 42 | def get_movie_info(hit_doc): 43 | clip_id = hit_doc["clipId"] 44 | info = { 45 | "title": hit_doc["title"], 46 | "story": hit_doc["story"], 47 | } 48 | info_url = f"https://www.mgtv.com/b/{clip_id}.html?lastp=list_index" 49 | res = session.get(info_url) 50 | soup = BeautifulSoup(res.text, "html.parser") 51 | script_tags = soup.find_all("script") 52 | scr = script_tags[0].get_text() 53 | subject_id = scr.split("/")[-1].split(".")[0] 54 | info_detail_url = f"https://www.mgtv.com/b/{clip_id}/{subject_id}.html" 55 | res = session.get(info_detail_url) 56 | soup = BeautifulSoup(res.text, "html.parser") 57 | introduce_items = soup.find_all(class_="introduce-item") 58 | info["director"] = introduce_items[0].get_text(strip=True).split("：")[-1] 59 | info["actors"] = introduce_items[1].get_text(strip=True).split("：")[-1] 60 | info["area"] = introduce_items[2].get_text(strip=True).split("：")[-1] 61 | info["type"] = introduce_items[3].get_text(strip=True).split("：")[-1] 62 | info["comment"] = get_movie_comment(subject_id) 63 | # print(info) 64 | return info 65 | 66 | 67 | movie_info_list = [] 68 | for hit_doc in hit_docs: 69 | t = get_movie_info(hit_doc) 70 | movie_info_list.append(t) 71 | data = pd.DataFrame(movie_info_list) 72 | 73 | # 将数据写入 Excel 文件 74 | data.to_excel("movie_info.xlsx", index=False) -------------------------------------------------------------------------------- /projects/spiders/re_demo.py: -------------------------------------------------------------------------------- 1 | import re 2 | """ 3 | 优酷视频 4 | 匹配相关明星的正则表达式不是很好设计 5 | """ 6 | def read_file(path): 7 | with open(path, "r", encoding="utf-8") as f: 8 | text = f.read() 9 | # print(text) 10 | return text 11 | 12 | path = "text.txt" 13 | text = read_file(path) 14 | # print(text) 15 | 16 | pattern = r'"subtitle":\s*"[^"]*导演[^"]*"[^"]*"title":\s*"([^"]+)"' 17 | m = re.search(pattern, text) 18 | print(m) 19 | if m: 20 | print(m.group(1)) -------------------------------------------------------------------------------- /projects/spiders/tencent_video.py - spiders - Visual Studio Code 2024-03-17 11-52-49.mp4: 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false, 10 | "extra": { 11 | "type": "NORMAL" 12 | }, 13 | "callback": null, 14 | "reportConfig": null, 15 | "report": { 16 | "pageName": "page_playpage", 17 | "arg1": "web_detail_info_new", 18 | "spmAB": "a2h08.8165823", 19 | "spmC": "1_1", 20 | "spmD": "2_2", 21 | "scmAB": "20140719.apircmd", 22 | "scmC": "239960", 23 | "scmD": "starcircle_348819", 24 | "index": 2, 25 | "reportDataOpt": false, 26 | "trackInfo": { 27 | "component_id": "web_detail_info_new", 28 | "pvv_vid": "XNjAyODY3MzYxNg==", 29 | "component_instance_id": 240053, 30 | "utdid": "xEjfHP4g7hYCAdvkhxssZXp0", 31 | "servertime": 1704104374505, 32 | "pageid": "PCSHOW_MOVIE_NORMAL", 33 | "lifecycle": 1, 34 | "drawerid": "36152", 35 | "pvv_sid": "6fefbfbd0809484111e7", 36 | "cms_req_id": "213c6e7917041043744758283e1b7e" 37 | }, 38 | "utParam": null 39 | } 40 | }, 41 | "personId": 348819, 42 | "title": "乌尔善", 43 | "isAliStar": false -------------------------------------------------------------------------------- /projects/spiders/youku_get_comment.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/projects/spiders/youku_get_comment.py -------------------------------------------------------------------------------- /projects/spiders/优酷电影_样例.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/projects/spiders/优酷电影_样例.xlsx -------------------------------------------------------------------------------- /projects/spiders/腾讯动漫.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/projects/spiders/腾讯动漫.xlsx -------------------------------------------------------------------------------- /projects/weixin/1.py: -------------------------------------------------------------------------------- 1 | """ 2 | 我又接了个python的单 3 | 微信群关键词回复,抢单... 4 | 5 | 有哪些可以使用的包/工具? 6 | itchat -> wxpy 7 | """ 8 | import wxpy 9 | import os 10 | 11 | """ 12 | 扫码登录你的wx网页版 13 | 【注意】1. 不要开代理, 2. 安装包 pip install itchat-uos==1.5.0.dev0 14 | """ 15 | 16 | # 微信登录 17 | def login(): 18 | # 登录微信 19 | bot = wxpy.Bot() # Login successfully as xxx 20 | #本地缓存保存登录信息 21 | return bot 22 | 23 | # 微信 文件传输助手 发送消息 24 | def wx_file_send(bot): 25 | bot.file_helper.send("pip install jinjia2 -i https://pypi.tuna.tsinghua.edu.cn/simple ") 26 | 27 | # 获取某个群的群主, 群成员 28 | def get_group_info(group): 29 | nums = len(group) 30 | members = group.members 31 | owner = group.owner 32 | print(f"{group} 群主: ", owner) 33 | print(f"{group} 群成员数目: ", nums) 34 | for member in members: 35 | print(member) 36 | 37 | bot = login() 38 | wx_file_send(bot) 39 | 40 | # group = bot.groups().search("快乐")[0] # 可以模糊搜索 41 | # print(group) 42 | # cnt = 0 43 | # for member in group: 44 | # friend = bot.friends().search(member.name) 45 | # if friend and friend[0] == member: 46 | # print(f"你的好友{member.name}在群中") 47 | # cnt += 1 48 | # # print() 49 | # # print(member.name) 50 | # print(cnt) 51 | 52 | # @bot.register() 53 | # def save_images(msg): 54 | # print(msg) 55 | # if msg.type in (wxpy.PICTURE): 56 | # name = print(msg.file_name) 57 | # path = "D:\技术学习\Python-dragon\projects\weixin\download"+ f"\{name}" + ".jpg" 58 | # msg.get_file(path) 59 | # print("下载成功") 60 | 61 | # wxpy.embed() 62 | 63 | 64 | 65 | -------------------------------------------------------------------------------- /projects/weixin/2.py: -------------------------------------------------------------------------------- 1 | """ 2 | 转发boss信息到微信助手 3 | """ 4 | from wxpy import * 5 | 6 | bot = Bot(cache_path=True) 7 | 8 | # 定位公司群 9 | company_group = ensure_one(bot.groups().search('公司微信群')) 10 | 11 | # 定位老板 12 | boss = ensure_one(company_group.search('老板大名')) 13 | 14 | # 将老板的消息转发到文件传输助手 15 | @bot.register(company_group) 16 | def forward_boss_message(msg): 17 | if msg.member == boss: 18 | msg.forward(bot.file_helper, prefix='老板发言') 19 | 20 | # 堵塞线程 21 | embed() -------------------------------------------------------------------------------- /projects/weixin/README.md: -------------------------------------------------------------------------------- 1 | # 项目总结 2 | 客户想要微信群关键词自动回复来物流抢单，不过我的微信机器人没有如愿，最后是信息咨询了 3 | -------------------------------------------------------------------------------- /projects/weixin/download/None.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/projects/weixin/download/None.gif -------------------------------------------------------------------------------- /projects/wxread++/README.md: -------------------------------------------------------------------------------- 1 | # 需求 2 | 自动刷微信文章阅读量，谈何容易？ 3 | -------------------------------------------------------------------------------- /projects/wxread++/increase.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import time 3 | url = "https://mp.weixin.qq.com/s/XRAabLIZu0UViRagfgcJkA" 4 | """ 5 | 微信刷阅读量可不简单 6 | 7 | 手机端阅读量直只接入app端的浏览量 8 | 同一个微信id一天看多次, 最多只能刷5次浏览量 9 | 想刷阅读量, 谈何容易... 10 | """ 11 | headers = { 12 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36" 13 | } 14 | 15 | for i in range(50): 16 | response = requests.get(url, headers=headers) 17 | time.sleep(1) 18 | print("第{}次请求,响应码{}".format(i + 1 , response.status_code)) -------------------------------------------------------------------------------- /python-core-techs/12_面向对象02.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# 面向对象" 8 | ] 9 | }, 10 | { 11 | "cell_type": "markdown", 12 | "metadata": {}, 13 | "source": [ 14 | "## 序言" 15 | ] 16 | }, 17 | { 18 | "cell_type": "markdown", 19 | "metadata": {}, 20 | "source": [ 21 | "在Python中，一个int（整数）的大小是动态的，它会根据需要自动调整大小以适应所存储的整数值。Python的整数类型可以表示非常大的整数，取决于可用内存。\n", 22 | "\n", 23 | "这是因为Python中的整数不受固定的位数限制，而是可以根据需要自动扩展。这一特性使Python非常适合处理大数值，例如用于科学计算、数据分析和密码学等领域。\n", 24 | "\n", 25 | "你可以尝试在Python中创建一个非常大的整数，Python会根据需要调整内部存储以容纳它，不会受到固定大小的限制。" 26 | ] 27 | }, 28 | { 29 | "cell_type": "code", 30 | "execution_count": 1, 31 | "metadata": {}, 32 | "outputs": [ 33 | { 34 | "name": "stdout", 35 | "output_type": "stream", 36 | "text": [ 37 | "1234567890123456789012345678901234567890\n" 38 | ] 39 | } 40 | ], 41 | "source": [ 42 | "large_integer = 1234567890123456789012345678901234567890\n", 43 | "print(large_integer)" 44 | ] 45 | } 46 | ], 47 | "metadata": { 48 | "kernelspec": { 49 | "display_name": "Python 3", 50 | "language": "python", 51 | "name": "python3" 52 | }, 53 | "language_info": { 54 | "codemirror_mode": { 55 | "name": "ipython", 56 | "version": 3 57 | }, 58 | "file_extension": ".py", 59 | "mimetype": "text/x-python", 60 | "name": "python", 61 | "nbconvert_exporter": "python", 62 | "pygments_lexer": "ipython3", 63 | "version": "3.10.10" 64 | } 65 | }, 66 | "nbformat": 4, 67 | "nbformat_minor": 2 68 | } 69 | -------------------------------------------------------------------------------- /python-core-techs/32-Python核心技术与实战.epub: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/python-core-techs/32-Python核心技术与实战.epub -------------------------------------------------------------------------------- /python-core-techs/README.md: -------------------------------------------------------------------------------- 1 | # 课程 2 | 【极客时间】的【Python核心技术与实战】实操走一遍 -------------------------------------------------------------------------------- /python-core-techs/perfect_number.py: -------------------------------------------------------------------------------- 1 | """ 2 | == Perfect Number == 3 | In number theory, a perfect number is a positive integer that is equal to the sum of 4 | its positive divisors, excluding the number itself. 5 | For example: 6 ==> divisors[1, 2, 3, 6] 6 | Excluding 6, the sum(divisors) is 1 + 2 + 3 = 6 7 | So, 6 is a Perfect Number 8 | 9 | Other examples of Perfect Numbers: 28, 486, ... 10 | 11 | https://en.wikipedia.org/wiki/Perfect_number 12 | """ 13 | 14 | 15 | def perfect(number: int) -> bool: 16 | """ 17 | Check if a number is a perfect number. 18 | 19 | A perfect number is a positive integer that is equal to the sum of its proper 20 | divisors (excluding itself). 21 | 22 | Args: 23 | number: The number to be checked. 24 | 25 | Returns: 26 | True if the number is a perfect number otherwise, False. 27 | Start from 1 because dividing by 0 will raise ZeroDivisionError. 28 | A number at most can be divisible by the half of the number except the number 29 | itself. For example, 6 is at most can be divisible by 3 except by 6 itself. 30 | Examples: 31 | >>> perfect(27) 32 | False 33 | >>> perfect(28) 34 | True 35 | >>> perfect(29) 36 | False 37 | >>> perfect(6) 38 | True 39 | >>> perfect(12) 40 | False 41 | >>> perfect(496) 42 | True 43 | >>> perfect(8128) 44 | True 45 | >>> perfect(0) 46 | False 47 | >>> perfect(-1) 48 | False 49 | >>> perfect(12.34) 50 | Traceback (most recent call last): 51 | ... 52 | ValueError: number must an integer 53 | >>> perfect("Hello") 54 | Traceback (most recent call last): 55 | ... 56 | ValueError: number must an integer 57 | """ 58 | if not isinstance(number, int): 59 | raise ValueError("number must an integer") 60 | if number <= 0: 61 | return False 62 | return sum(i for i in range(1, number // 2 + 1) if number % i == 0) == number 63 | 64 | 65 | if __name__ == "__main__": 66 | from doctest import testmod 67 | 68 | testmod() 69 | print("Program to check whether a number is a Perfect number or not...") 70 | try: 71 | number = int(input("Enter a positive integer: ").strip()) 72 | except ValueError: 73 | msg = "number must an integer" 74 | print(msg) 75 | raise ValueError(msg) 76 | except Exception as e: 77 | print("Another exception occurs...".format(e)) 78 | 79 | print(f"{number} is {'' if perfect(number) else 'not '}a Perfect Number.") -------------------------------------------------------------------------------- /python-office-automation/README.md: -------------------------------------------------------------------------------- 1 | # Python办公自动化 2 | Python生态圈的办公自动化... 3 | -------------------------------------------------------------------------------- /python-opencv/README.md: -------------------------------------------------------------------------------- 1 | # Python和opencv 2 | Python生态圈的opencv图像处理 3 | ## PIL 4 | - [ ] memoryview类不是用于创建或存储字节序列的，而是共享内存，让你访问其他二进制序列、打包的数组和缓冲中的数据切片，而无需复制字节序列，例如Python Imaging Library（PIL）[插图]就是这样处理图像的。 5 | -------------------------------------------------------------------------------- /python-opencv/detect_one_circle.py: -------------------------------------------------------------------------------- 1 | import cv2 2 | import numpy 3 | 4 | """ 5 | 将图片中的圆形裁剪出来... 6 | """ -------------------------------------------------------------------------------- /python-web-security/README.md: -------------------------------------------------------------------------------- 1 | # Python和Web安全 2 | Python生态圈的Web网络安全技术... 3 | -------------------------------------------------------------------------------- /python-web-security/如何找到第一个cve.md: -------------------------------------------------------------------------------- 1 | # 平台 2 | - [ ] hackerone 3 | 4 | 5 | # 基础 6 | ## 软件版本号 7 | 在软件版本号中，通常采用"a.b.c"的格式，其中"a"、"b"和"c"分别表示主版本号、次版本号和修订号。这是一种常见的版本号命名约定，但并非所有软件都严格遵循这个格式。 8 | 9 | 主版本号（"a"）：主版本号通常在软件进行重大更新或功能变更时增加。当有重大改动或破坏性变化时，可能需要重新编写或调整与该软件相关的代码。增加主版本号表示与之前版本可能不兼容。 10 | 11 | 次版本号（"b"）：次版本号在软件进行较小的功能更新或增加新功能时增加。这些更新通常不会破坏与之前版本的兼容性，而且可以与旧版的软件进行良好的互操作。 12 | 13 | 修订号（"c"）：修订号用于指示软件发布的修复错误、漏洞和安全问题的补丁数量。这些修订通常不包含新功能，而是解决已知问题并提供更稳定和安全的版本。 14 | 15 | 需要注意的是，不同的软件开发者可能对版本号的具体含义有所不同。因此，建议查阅相关软件的文档或发布说明以获取特定软件版本号的详细解释。 16 | 17 | 所以说，软件版本的最后一位代表着漏洞的修复。 18 | 19 | -------------------------------------------------------------------------------- /python-web/README.md: -------------------------------------------------------------------------------- 1 | # Python和Web开发 2 | Python生态的web开发, Django, 先会盖大楼，再会找大楼的漏洞 3 | -------------------------------------------------------------------------------- /re/README.md: -------------------------------------------------------------------------------- 1 | # RE 2 | 正则表达式, 规则表达式, 模式表达式和Python 3 | # Introduction 4 | - [ ] PCRE: Perl Compatile Regular Expression 5 | - [ ] BRE: Basic RE 6 | - [ ] ERE: Extended RE 7 | - [ ] 15 metacharacter in RE: .^$+*?|()[]{}\-, not literal 8 | - [ ] RE can backtrack to find the anwser 9 | # Practice 10 | - [ ] 识别 上海电话号码 的正则表达式 11 | - [ ] Unix上的工具sed, grep 12 | - [ ] perl对于正则表达式很早提供很多支持, 1987年问世, 以正则表达式和文本处理能力强大著称 13 | # Learning 14 | - [ ] https://regexr.com/ Learn, Build & Test RegExr 15 | # Knowledge 16 | - [ ] ?=, positive lookahead -------------------------------------------------------------------------------- /re/backref.py: -------------------------------------------------------------------------------- 1 | import re 2 | 3 | """ 4 | Group capturing and backreference 5 | """ 6 | 7 | pattern = r'(\w)\1' 8 | text = 'hello, dragon' 9 | 10 | match = re.search(pattern, text) 11 | if match: 12 | print('匹配到重复的字符:', match.group(0)) 13 | print('捕获的字符:', match.group(1)) -------------------------------------------------------------------------------- /re/border.py: -------------------------------------------------------------------------------- 1 | import re 2 | 3 | """ 4 | ^ matches the beginning. 5 | $ matches the ending. 6 | """ 7 | 8 | text1 = r'How, China Country.' 9 | text2 = r'The World is on your side.' 10 | text3 = r'vwcdvchjd vddcshds \ 11 | cshjhbsdjbjds' 12 | 13 | pattern1 = r'^How.*Country\.$' 14 | pattern2 = r'\bThe\b' # \b is the border of a word 15 | pattern3 = r'^(.*)$' 16 | 17 | match1 = re.search(pattern1, text1) 18 | if match1: 19 | print(match1.group()) 20 | 21 | match2 = re.search(pattern2, text2) 22 | if match2: 23 | print(match2.group()) 24 | 25 | match3 = re.search(pattern3, text3) 26 | if match3: 27 | print(match3.group()) -------------------------------------------------------------------------------- /re/jude_0x.py: -------------------------------------------------------------------------------- 1 | import re 2 | 3 | text = r'0xaffe, 123, 0xFFFFF' 4 | hex_pattern = r'0x[0-9a-fA-F]+' 5 | 6 | m = re.findall(hex_pattern, text) 7 | if m: 8 | print(m) -------------------------------------------------------------------------------- /re/judge_even.py: -------------------------------------------------------------------------------- 1 | import re 2 | """ 3 | test online: https://regexr.com/ 4 | find and match all even numbers in the text 5 | """ 6 | text = r'2 4 68 13 45 19 xhl dragon 100' 7 | even_pattern = r'\b\d*[02468]\b' 8 | 9 | match = re.findall(even_pattern, text) 10 | if match: 11 | print(match) -------------------------------------------------------------------------------- /re/number.py: -------------------------------------------------------------------------------- 1 | import re 2 | 3 | """ 4 | \d: 0-9, digital, \d == [0-9] == [0123456789] 5 | \D: \d reverse, \D == [^0-9] == [^\d] 6 | \s: space, \s == [ \t\r\n] 7 | \w: word, letter, _ \w == [_0-9a-zA-Z] 8 | \W: \W == [^_0-9a-zA-Z] 9 | (): capture group 10 | []: metacharacter 11 | {}: quantifier 12 | . : every character without \r\n, \n or \r 13 | """ 14 | 15 | def pattern_match(pattern, string): 16 | m = re.search(pattern, string) 17 | if m: 18 | print(m.group()) 19 | 20 | text = r'num1 = 34567.89 \r\n num2 = 12' 21 | 22 | phone1 = r'778-213-4569' # american phone 23 | phone2 = r'778.234.4578' 24 | phone3 = r'(789)-214-6723' 25 | 26 | integer_pattern = r'\d+' 27 | float_pattern = r'\d+.\d+' 28 | pattern_1 = r'(\d{3})-?(\d{3})-?(\d{4})' 29 | pattern_2 = r'(\d{3}[-.]?){2}\d{4}' 30 | pattern_3 = r'^((\(\d{3}\)|\d{3})[-.]?)\d{3}[-.]?\d{4}$' 31 | 32 | pattern_match(float_pattern, text) 33 | pattern_match(integer_pattern, text) 34 | pattern_match(pattern_3, phone1) 35 | pattern_match(pattern_3, phone2) 36 | pattern_match(pattern_3, phone3) -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/requirements.txt -------------------------------------------------------------------------------- /roadmap/32-Python核心技术与实战.epub: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/roadmap/32-Python核心技术与实战.epub -------------------------------------------------------------------------------- /roadmap/README.md: -------------------------------------------------------------------------------- 1 | # roadmap 2 | a roadmap to learn python... 3 | -------------------------------------------------------------------------------- /roadmap/python.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/roadmap/python.pdf -------------------------------------------------------------------------------- /scripts/B站半佛评史玉柱.csv: -------------------------------------------------------------------------------- 1 | 评论时间,评论内容 2 | 2023-20-09/23/23 22:20,半佛半佛～回形针说吗～ 3 | 2023-20-09/23/23 22:20,让我妈买过生命一号[奋斗][奋斗][奋斗] 4 | 2023-20-09/23/23 22:20,红桃K呢？ 5 | 2023-20-09/23/23 22:20,耶 6 | 2023-20-09/23/23 22:20,"点一下今年找到漂亮老婆[doge] 7 | ↓" 8 | 2023-20-09/23/23 22:20,所以脑白金是不是智商税产品[doge] 9 | 2023-20-09/23/23 22:20,没快进，全部看完了 10 | 2023-20-09/23/23 22:20,围观ヾ(･ω･*)ﾉ 11 | 2023-20-09/23/23 22:20,坏逼一个。还钱是为了可以继续回牌桌骗钱。 12 | 2023-20-09/23/23 22:20,想到史玉柱当年也绝望过，然后就去爬喜马拉雅山。爬之前想“爬了，回来了最好，享受。回不来，总比自杀好” 13 | 2023-20-09/23/23 22:20,不知道为啥，每次开始颓废后，来看半佛的视频后，我又有动力了。然后又很长一段时间不上B站了[笑哭] 14 | 2023-20-09/23/23 22:20,半佛老师出个每个女人心里都有一个哥哥的题目吧 15 | 2023-20-09/23/23 22:20,我觉得在中国能把欠别人的钱还上，已经是不错的企业家了，他当时已经破产了，完全可以不还钱的。[吃瓜] 16 | 2023-20-09/23/23 22:20,在商业世界里史玉柱可以说是道德楷模了，他至少遵守基本的商业规则，无非是利用规则，一个公开的规则。但从传统东方式的道德中，史玉柱无疑又是最为糟糕的，他为了赚钱不择手段，利用人性的漏洞，无情的下手。 17 | 2023-20-09/23/23 22:20,第一次知道史玉柱的人生履历还是看《重生野性时代》 18 | 2023-20-09/23/23 22:20,史玉柱确实牛，这年头成功的人很多，但是能从天堂跌到地狱又从地狱重新爬上来的确实凤毛麟角[OK] 19 | 2023-20-09/23/23 22:20,就硬卷，何时才能发展到不内卷的地步[无语] 20 | 2023-20-09/23/23 22:20,可惜现在国家有一套完整的法律 21 | 2023-20-09/23/23 22:20,一阴一阳，做人做事，什么是人，欲望满身，他混在鬼中间能让人比鬼还高兴。[doge] 22 | -------------------------------------------------------------------------------- /scripts/README.md: -------------------------------------------------------------------------------- 1 | # Python基础的脚本 2 | - [ ] 目录文件大小递归统计 3 | - [ ] images2gif 4 | -------------------------------------------------------------------------------- /scripts/calendar_gen.py: -------------------------------------------------------------------------------- 1 | """" 2 | 我一开始文件命名为calendar.py 3 | 结果报错 4 | https://stackoverflow.com/questions/67472180/an-error-appears-while-writing-a-calendar-programtypeerror-int-object-is-not 5 | 6 | you cant have your python file have the same name as any module! 7 | """ 8 | 9 | 10 | import calendar 11 | 12 | year = int(input("请输入当前年份: ")) 13 | month = int(input("请输入当前月份: ")) 14 | 15 | print(calendar.month(year, month)) 16 | input("请按任意键结束...") -------------------------------------------------------------------------------- /scripts/calendar_gen.spec: -------------------------------------------------------------------------------- 1 | # -*- mode: python ; coding: utf-8 -*- 2 | 3 | 4 | block_cipher = None 5 | 6 | 7 | a = Analysis( 8 | ['calendar_gen.py'], 9 | pathex=[], 10 | binaries=[], 11 | datas=[], 12 | hiddenimports=[], 13 | hookspath=[], 14 | hooksconfig={}, 15 | runtime_hooks=[], 16 | excludes=[], 17 | win_no_prefer_redirects=False, 18 | win_private_assemblies=False, 19 | cipher=block_cipher, 20 | noarchive=False, 21 | ) 22 | pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher) 23 | 24 | exe = EXE( 25 | pyz, 26 | a.scripts, 27 | a.binaries, 28 | a.zipfiles, 29 | a.datas, 30 | [], 31 | name='calendar_gen', 32 | debug=False, 33 | bootloader_ignore_signals=False, 34 | strip=False, 35 | upx=True, 36 | upx_exclude=[], 37 | runtime_tmpdir=None, 38 | console=True, 39 | disable_windowed_traceback=False, 40 | argv_emulation=False, 41 | target_arch=None, 42 | codesign_identity=None, 43 | entitlements_file=None, 44 | icon=['1.ico'], 45 | ) 46 | -------------------------------------------------------------------------------- /scripts/directory_cnt.py: -------------------------------------------------------------------------------- 1 | """ 2 | 2023/9/22 3 | 统计文件夹中的所有文件大小 4 | 并按照各种条件排序 5 | """ 6 | import os 7 | 8 | """ 9 | 打印输出所有文件 10 | """ 11 | def get_all(path): 12 | files = os.listdir(path) 13 | for file in files: 14 | print(file) 15 | 16 | """ 17 | 获取文件夹的大小 18 | """ 19 | def get_size(path): 20 | cnt = 0 21 | files = os.listdir(path) 22 | for file in files: 23 | file_path = os.path.join(path, file) 24 | if os.path.isfile(file_path): 25 | cnt += os.path.getsize(file_path) 26 | # 若里面有子文件夹则递归子文件夹进行统计 27 | elif os.path.isdir(file_path): 28 | cnt += get_size(file_path) 29 | return cnt 30 | 31 | """ 32 | 文件排序有哪些? 33 | 1. 文件大小 34 | 2. 文件创建时间 35 | 3. 文件修改时间 36 | 4. 文件名 37 | 38 | """ 39 | 40 | 41 | """ 42 | 按照文件名进行排序(字符串排序) 43 | """ 44 | def sort_by_name(path): 45 | files = os.listdir(path) 46 | sorted(files) 47 | # print(files) 48 | for file in files: 49 | print(file) 50 | 51 | """ 52 | 按照数字排序 53 | 针对于img_xxx这样的情况 54 | """ 55 | 56 | 57 | # path = "." 58 | # get_all(path) 59 | # print(get_size(path)) 60 | # sort_by_name(path) 61 | 62 | path = input("请输入你想要查询的文件夹:") 63 | # print("文件夹下的所有数据如下:") 64 | # get_all(path) 65 | print("文件夹内所有文件按照字典序排序:") 66 | sort_by_name(path) 67 | print(f"文件夹内所有文件以及子文件的大小总和: {get_size(path)}字节") 68 | input("后续支持其他排序方式,请按任意键退出...") -------------------------------------------------------------------------------- /scripts/dist/calendar_gen.exe: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/dist/calendar_gen.exe -------------------------------------------------------------------------------- /scripts/get_bilibili_comments.py: -------------------------------------------------------------------------------- 1 | """ 2 | 我想获取B站某个视频的所有评论,保存成csv文件 3 | 使用哪些库? 4 | requests, time, pandas 5 | 6 | 2023/9/23 7 | 爬取到的评论还比较少,后续再改进 8 | 今晚学会了如何快速查看从后端来的json数据的格式 9 | 浏览器抓包的时候看Peview大概就能确定从后端来的json数据的格式了 10 | 11 | 后续建一个url池, 爬取更多的评论 12 | """ 13 | import requests 14 | import pandas as pd 15 | import time 16 | 17 | headers = { 18 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36" 19 | } 20 | 21 | """ 22 | 从url返回数据... 23 | """ 24 | def get_response(url): 25 | res = requests.get(url, headers=headers) 26 | return res 27 | 28 | """ 29 | 获取评论真实的发表时间 30 | """ 31 | def get_time(ctime): 32 | # ctime: 当前时间的时间戳（1970纪元后经过的浮点秒数） 33 | # 将其格式化为 2023-09-23 21:45类似的样子 34 | t = time.strftime("%Y-%M-%D %H:%M") 35 | return t 36 | 37 | 38 | url = "https://api.bilibili.com/x/v2/reply/wbi/main?oid=931227300&type=1&mode=3&pagination_str=%7B%22offset%22:%22%7B%5C%22type%5C%22:1,%5C%22direction%5C%22:1,%5C%22data%5C%22:%7B%5C%22pn%5C%22:9%7D%7D%22%7D&plat=1&web_location=1315875&w_rid=c44f283295daf4b3e52c76042b5e6786&wts=1695473739" 39 | res = get_response(url) 40 | # print(type(res)) # 41 | res = res.json() 42 | """ 43 | json()方法和json.dumps()的区别 44 | 1. json.dumps(): 将Python对象编码成json字符串 45 | 2. 将对象json()化 46 | """ 47 | # print(res) 48 | 49 | 50 | comments = res["data"]["replies"] 51 | # print(comments) 52 | time_list = [] 53 | comment_list = [] 54 | for comment in comments: 55 | ctime = comment["ctime"] 56 | t = get_time(ctime) 57 | message = comment["content"]["message"] 58 | # print(t, message) 59 | time_list.append(t) 60 | comment_list.append(message) 61 | 62 | out_file = "./B站半佛评史玉柱.csv" 63 | df = pd.DataFrame({"评论时间": time_list, "评论内容": comment_list}) 64 | df.to_csv(out_file, mode="a+", encoding="utf_8_sig", index=False) 65 | 66 | 67 | 68 | -------------------------------------------------------------------------------- /scripts/get_leetcode_pic.py: -------------------------------------------------------------------------------- 1 | """" 2 | 在刷今天的每日一题的时候 3 | 我想把题解的110张图片都爬下来合成gif 4 | """ 5 | import requests 6 | import os 7 | from images2gif import get_all, images2gif 8 | 9 | dst = "./leetcode_pics" 10 | if not os.path.exists(dst): 11 | os.mkdir(dst) 12 | 13 | for i in range(10): 14 | url = f"https://assets.leetcode-cn.com/solution-static/146/{i+1}.PNG" 15 | pic = requests.get(url).content 16 | name = './leetcode_pics' + f'/{i+1}.png' 17 | f = open(name, "wb") 18 | f.write(pic) 19 | 20 | images2gif(get_all(dst)) 21 | -------------------------------------------------------------------------------- /scripts/images2gif.py: -------------------------------------------------------------------------------- 1 | """ 2 | 我想把文件夹内所有的图片都转换成gif 3 | 用到的包是哪些? 4 | Python图像处理的包: 5 | Pillow, opencv-python. 6 | """ 7 | 8 | import os 9 | import imageio 10 | from PIL import Image 11 | import imageio.v2 as imageio 12 | import numpy as np 13 | import subprocess 14 | """ 15 | 获得路径文件夹内所有的文件 16 | """ 17 | def get_all(path): 18 | files = [] 19 | for file in os.listdir(path): 20 | files.append(os.path.join(path, file)) 21 | return files 22 | 23 | 24 | """ 25 | 将文件夹内的所有jpg文件大小调整一致 26 | """ 27 | def convertjpg(in_path, ou_path, width, height): 28 | files = get_all(in_path) 29 | for file in files: 30 | img = Image.open(file) 31 | try: 32 | new_img = img.resize((width, height), Image.BILINEAR) 33 | if not os.path.exists(ou_path): 34 | os.mkdir(ou_path) 35 | # 强制性保证所有的图像文件是同一种shape 36 | if np.array(img).shape != (width, height, 3): 37 | continue 38 | new_img.save(os.path.join(ou_path, os.path.basename(file))) 39 | except Exception as e: 40 | print(e) 41 | 42 | def images2gif(files): 43 | # 首先将所有文件的大小调整一致 44 | # 其次再将所有大小一一致的文件转换成gif 45 | images = [] 46 | for file in files: 47 | images.append(imageio.imread(file)) 48 | imageio.mimsave("./movie.gif", images) 49 | 50 | # path = "D:\my_soft\全网（百度）图片下载器\东方淮竹与王权霸业" 51 | # # print(get_all(path=path)) 52 | # convertjpg(path, "D:\my_soft\全网（百度）图片下载器\东方", 512, 512) 53 | images2gif(get_all(path="D:\my_soft\全网（百度）图片下载器\东方")) 54 | 55 | 56 | # windows上写入文件夹,权限问题 57 | # path = input("请输入你想要转换gif的图像文件夹: ") 58 | # width = int(input("请输入你想要看的gif的宽度: ")) 59 | # height = int(input("请输入你想要看的gif的高度: ")) 60 | # ou_path = os.path.join(path, "half") 61 | # if not os.path.exists(ou_path): 62 | # os.mkdir(ou_path) 63 | # command = f"icacls {ou_path} /grant Everyone:(OI)(CI)F" 64 | # subprocess.run(command, shell=True) 65 | # convertjpg(path, ou_path, width, height) 66 | # images2gif(ou_path) 67 | -------------------------------------------------------------------------------- /scripts/leetcode_pics/1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/leetcode_pics/1.png -------------------------------------------------------------------------------- /scripts/leetcode_pics/10.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/leetcode_pics/10.png -------------------------------------------------------------------------------- /scripts/leetcode_pics/2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/leetcode_pics/2.png -------------------------------------------------------------------------------- /scripts/leetcode_pics/3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/leetcode_pics/3.png -------------------------------------------------------------------------------- /scripts/leetcode_pics/4.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/leetcode_pics/4.png -------------------------------------------------------------------------------- /scripts/leetcode_pics/5.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/leetcode_pics/5.png -------------------------------------------------------------------------------- /scripts/leetcode_pics/6.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/leetcode_pics/6.png -------------------------------------------------------------------------------- /scripts/leetcode_pics/7.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/leetcode_pics/7.png -------------------------------------------------------------------------------- /scripts/leetcode_pics/8.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/leetcode_pics/8.png -------------------------------------------------------------------------------- /scripts/leetcode_pics/9.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/leetcode_pics/9.png -------------------------------------------------------------------------------- /scripts/test_img_shape.py: -------------------------------------------------------------------------------- 1 | from PIL import Image 2 | import numpy as np 3 | import os 4 | """ 5 | 测试文件夹下的一系列图像哪个是数据维度不一样的图片? 6 | """ 7 | 8 | # 获取路径下的所有文件 9 | def get_all(path): 10 | files = [] 11 | for file in os.listdir(path): 12 | files.append(os.path.join(path, file)) 13 | return files 14 | 15 | # 检查一张图片的shape 16 | # 扩展: shape的max和min... 17 | def check(img): 18 | img = Image.open(img) 19 | img_array = np.array(img) 20 | shape = img_array.shape 21 | print("img:", shape) 22 | 23 | # path = "D:\my_soft\全网（百度）图片下载器\东方" # 输入你想要查询的图像文件夹 24 | path = "D:\Python\Python\projects\image-process\\tiny_circles" 25 | files = get_all(path) 26 | for img in files: 27 | print(img) 28 | check(img) 29 | 30 | 31 | -------------------------------------------------------------------------------- /scripts/电影.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/scripts/电影.xlsx -------------------------------------------------------------------------------- /wxpy.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/08183080/Python-dragon/ea792093a6d0062eda868a4d03c15b76632dabd3/wxpy.pkl --------------------------------------------------------------------------------
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