├── .gitignore ├── AdobeHackathonDSAround ├── AliceAndBob.txt ├── AliceandBob.py ├── LilaAndTheo.txt ├── LisaAndTheo.py ├── MagicCell.py └── MagicCell.txt ├── Anthropic-mcp-course ├── .gitignore ├── README.md ├── core │ ├── __init__.py │ ├── chat.py │ ├── claude.py │ ├── cli.py │ ├── cli_chat.py │ └── tools.py ├── main.py ├── mcp_client.py ├── mcp_server.py ├── pyproject.toml └── uv.lock ├── AutoBuilder ├── Palnner.md ├── auto_create_everything.json └── auto_create_everything_http.json ├── Capgemini ├── 2024 │ ├── CAPGEMINI CODING QUESTIONS .pdf │ ├── capg1.py │ ├── capg2.py │ ├── capg3.py │ ├── capg4.py │ ├── capg5.py │ ├── capg6.py │ ├── capg7.py │ ├── capg8.py │ └── new_questions.txt ├── 2025 │ ├── Count_occurances.java │ ├── DoubleLinkedList.java │ ├── Evaluate.java │ ├── Java_hash_map.java │ ├── LinkedList.java │ ├── Shift_k_bits.java │ ├── Test.java │ ├── Tyres_and_wheels.java │ ├── move_hash.java │ ├── new.java │ ├── q1.java │ ├── questions.txt │ ├── reflectjava.java │ ├── remove_duplicates.java │ └── sortArrayList.java ├── asked_question.txt └── technical_interveiw_question.txt ├── Compiler_Design ├── Cheats │ ├── ANSWERS_1.txt │ ├── ANSWERS_2.txt │ ├── ANSWERS_3.txt │ ├── ANSWERS_4.txt │ ├── ANSWERS_5.txt │ └── QUESTIONS.txt └── assignments │ ├── Assignment_1.md │ ├── Assignment_2.md │ ├── Assignment_3A.md │ ├── Assignment_3B.md │ ├── Assignment_4.md │ ├── Assignment_4.txt │ └── Assignment_5.md ├── DataStructures-And-Algorithim ├── LinearSearch.py ├── List.md ├── functionLIst.md ├── mapfunc.py └── test.txt ├── Data_Vizuals └── vegetation_Graph.ipynb ├── DeepResearch └── Agent_problems.md ├── GenC-prep ├── DigitStrings.java ├── Question1.java ├── Question10.java ├── Question11.java ├── Question12.java ├── Question13.java ├── Question2.java ├── Question3.java ├── Question4.java ├── Question5.java ├── Question6.java ├── Question7.java ├── Question8.java ├── Question9.java ├── StrongerKnights.java ├── javaArray.java ├── move_hash.java ├── questions.txt └── recursion.txt ├── LICENSE ├── NpN-prep ├── 5_6224335376379548928.pdf ├── Session1 │ ├── PowerBi_Sample_Data │ │ ├── SampleDocx.docx │ │ ├── SampleDocx.pdf │ │ ├── employees_data.csv │ │ ├── excel_sample.xlsx │ │ ├── googleSheetsLink.txt │ │ ├── relations_example.png │ │ └── sampleFromTextFile.txt │ ├── SQL_Database_sample │ │ ├── Advance SQL Demo rec.sql │ │ ├── mysqlsampledatabase.sql │ │ └── schema.png │ ├── mySQLlogics.py │ ├── mysql-sample-database.png │ ├── quary.sql │ ├── session1-Part1.txt │ ├── session1-part2.txt │ └── test.drawio ├── session 2 │ ├── ArtificialIntellegenceWithPython.ipynb │ ├── Data │ │ ├── 9_data.csv │ │ ├── bigmart_data.csv │ │ ├── data.csv │ │ ├── data.xlsx │ │ ├── data_python.csv │ │ ├── employees_data.csv │ │ └── titanic.csv │ ├── DataScienceWithPython.ipynb │ ├── DataScienceWithPython2.ipynb │ ├── lib │ │ ├── __init__.py │ │ └── dog.py │ ├── main.py │ ├── pythonCourseAdvanced.ipynb │ ├── pythonCourseBeginner.ipynb │ ├── session2-part1.txt │ └── session2-part2.txt └── session 3 │ └── session3-part1.txt ├── README.md ├── Scrapper ├── main.py ├── recovery_infrastructure.json └── recycling.py ├── TCS-ION-NQT ├── NQT_phase1.txt ├── Questions.txt ├── question1.py ├── question2.py ├── tcs.py ├── tcs4.py └── tcs4.txt ├── TCs_Codevita2025 ├── answer1.py ├── answer2.py ├── answer3.py ├── answer4.py ├── answer5.py ├── backup.py ├── debug4.py ├── question1.txt ├── question2.txt ├── question3.txt ├── question4.txt ├── question5.txt ├── test_runner1.py ├── test_runner4.py └── test_runner5.py ├── classwork ├── datascience.py ├── new_file.py ├── practice1.py ├── practice11.py ├── practice12.py ├── practice2.py ├── practice3.py ├── practice4.py ├── practice5.py ├── practice6.py ├── practice7.py ├── practice8.py ├── practice9.py ├── question10.py └── questions.txt ├── feature_importances.png ├── java_practice └── dimensional_Arrays.java ├── learning ├── file_handling.html ├── index.html ├── recursion.html ├── recursion.md ├── script.js └── styles.css ├── math_art_high_res.png ├── miscelenious ├── DoubleLinkedList$Node.class ├── DoubleLinkedList.class ├── Practice.jav ├── Screenshot.jpg ├── Shopping .py ├── Structure.py ├── agent_try.py ├── arraychallange.py ├── arrchallange.py ├── ascii_art.txt ├── ascii_art_converter.py ├── ascii_video.py ├── calculator.py ├── data2.py ├── deployment.py ├── diwali2.py ├── diwali_wish.py ├── diyaa.py ├── doughnut.py ├── dsaa.py ├── encrypt.py ├── encrytionDecryption.py ├── fibonacci.py ├── graphchallange.py ├── index.html ├── leaaldownload.py ├── lyrics.txt ├── mathAnimation.py ├── maximumSubArray.py ├── mbappe.txt ├── mergesort.py ├── new_file.py ├── nocode.py ├── outputs │ ├── fibonacci_spiral_20250404_183922.gif │ ├── fibonacci_spiral_20250404_184148.gif │ └── fibonacci_spiral_20250404_184355.gif ├── passwords.json ├── practice_1.py ├── pyfiglet_script.py ├── python_game.py ├── random_luck.py ├── recursion printing.py ├── roman.py ├── script.js ├── searching.py ├── sha512.py ├── streak.py ├── string27.py ├── stringchallange1.py ├── stringchallange2.py ├── styles.css ├── sumoftwolinkedlist.py ├── temperature_converter.py ├── test.py ├── testimage.jpg ├── turtle_animation.py ├── validStudents.py └── wish.png ├── notes and materials ├── DSA_notes.txt ├── Practice Set.pdf ├── Python-Cheat-Sheet.pdf ├── algorithm-design-techniques_compress.pdf ├── seaborm.md └── ubuntucommands.txt ├── out └── production │ └── pythonFiles │ ├── Practice.jav │ ├── Question1.class │ ├── Question10.class │ ├── Screenshot.jpg │ ├── Shopping .py │ ├── Structure.py │ ├── agent_try.py │ ├── arraychallange.py │ ├── arrchallange.py │ ├── ascii_art.txt │ ├── ascii_art_converter.py │ ├── ascii_video.py │ ├── calculator.py │ ├── challange32.py │ ├── data2.py │ ├── deployment.py │ ├── doughnut.py │ ├── dsaa.py │ ├── encrypt.py │ ├── encrytionDecryption.py │ ├── fibonacci.py │ ├── graphchallange.py │ ├── index.html │ ├── leaaldownload.py │ ├── lyrics.txt │ ├── maximumSubArray.py │ ├── mbappe.txt 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