├── .gitignore ├── README.md ├── books ├── intro-to-python │ ├── 01 - Basic Data Types.ipynb │ ├── 02 - Python Complex Types.ipynb │ └── 03 - Python Logic, Loops and Functions.ipynb ├── other-notebooks │ ├── 2016 Election FEC Data.ipynb │ ├── Fun with Dask Distributed.ipynb │ ├── Fun with Dask.ipynb │ └── SF Salaries.ipynb ├── pycon-2015-examples │ ├── Lesson 01 - csv and tsv.ipynb │ ├── Lesson 02 - XLSX.ipynb │ ├── Lesson 03 - databasing.ipynb │ ├── Lesson 04 - API.ipynb │ ├── Lesson 05 - Regex.ipynb │ ├── Lesson 06 - More String Analysis.ipynb │ ├── Lesson 07 - Calculate.ipynb │ ├── Lesson 08 - Journalism Library.ipynb │ ├── Lesson 09 - Matplotlib.ipynb │ ├── Lesson 10 - PyGal.ipynb │ ├── Lesson 11 - Bokeh.ipynb │ ├── Lesson 12 - Pandas Import and Inspection.ipynb │ ├── Lesson 13 - Pandas Filtering and Joins.ipynb │ └── Lesson 14 - Pandas Data Analysis.ipynb └── pydata-examples │ ├── 01 - Simple formats with Pandas.ipynb │ ├── 02 - More complex formats with Pandas.ipynb │ ├── 03 - Pandas Data Reader.ipynb │ ├── 04 - APIs.ipynb │ ├── 05 - Messy Data.ipynb │ ├── 06 - Data Analysis with Pandas.ipynb │ ├── 07 - Split Apply Combine.ipynb │ ├── 08 - Bokeh for Data Visualization.ipynb │ ├── Basic Data Visualization with Pandas.ipynb │ ├── Introduction to Joins.ipynb │ ├── Introduction to Regex.ipynb │ ├── Update HN data.ipynb │ └── solutions │ ├── data_analysis_solution.py │ ├── regex_solution.py │ ├── sac_solution.py │ ├── stocks_solution.py │ ├── visualization_solution.py │ ├── weather_solution_fix_stations.py │ └── weather_solution_rainyday.py ├── conda_requirements.txt ├── data ├── WEF_GlobalCompetitivenessReport_2014-15.pdf ├── berlin_weather_oldest.csv ├── comments.json ├── departments.csv ├── employees.csv ├── hn.json ├── imf_indicators.tsv ├── iso-2.csv ├── titles.csv ├── topstories.json └── wb │ ├── Broad Money (M2) to foreign reserves, ratio.xlsx │ ├── Broad Money (M2) to monetary base, ratio (M2 multiplier).xlsx │ ├── CPI Price, % y-o-y, median weighted, seas. adj..xlsx │ ├── CPI Price, % y-o-y, nominal, seas. adj..xlsx │ ├── CPI Price, nominal, not seas. adj..xlsx │ ├── CPI Price, nominal, seas. adj..xlsx │ ├── Commodity Prices.xlsx │ ├── Core CPI, not seas. adj..xlsx │ ├── Core CPI, seas. adj..xlsx │ ├── Emerging Market Bond Index (JPM Total Return Index).xlsx │ ├── Exchange rate, new LCU per USD extended backward, period average.xlsx │ ├── Exchange rate, old LCU per USD extended forward, period average.xlsx │ ├── Exports Merchandise, Customs, Price, US$, seas. adj..xlsx │ ├── Exports Merchandise, Customs, constant 2010 US$, millions, seas. adj..xlsx │ ├── Exports Merchandise, Customs, current US$, millions, seas. adj..xlsx │ ├── Foreign Reserves, Months Import Cover, Goods.xlsx │ ├── GDP Deflator at Market Prices, LCU.xlsx │ ├── GDP at market prices, constant 2010 LCU, millions, seas. adj..xlsx │ ├── GDP at market prices, constant 2010 US$, millions, seas. adj..xlsx │ ├── GDP at market prices, current LCU, millions, seas. adj..xlsx │ ├── GDP at market prices, current US$, millions, seas. adj..xlsx │ ├── GDP_Current_Dollars.xlsx │ ├── Imports Merchandise, Customs, Price, US$, seas. adj..xlsx │ ├── Imports Merchandise, Customs, constant 2010 US$, millions, seas. adj..xlsx │ ├── Imports Merchandise, Customs, current US$, millions, seas. adj..xlsx │ ├── Industrial Production, constant 2010 US$, not seasonally adjusted.xlsx │ ├── Industrial Production, constant 2010 US$, seas. adj..xlsx │ ├── Nominal Effecive Exchange Rate.xlsx │ ├── Official exchange rate, LCU per USD, period average.xlsx │ ├── Real Effective Exchange Rate.xlsx │ ├── Retail Sales Volume Index, seas. adj..xlsx │ ├── Sovereign Bond Interest Rate Spreads, basis points over US Treasuries.xlsx │ ├── Stock Markets, LCU.xlsx │ ├── Stock Markets, US$.xlsx │ ├── Terms of Trade.xlsx │ ├── Total Reserves.xlsx │ ├── stock_market.xlsx │ ├── stock_metadata.xlsx │ └── unemployment.xlsx ├── data_wrangling_3.yml ├── py3_requirements.txt ├── py3_server_requirements.txt ├── pycon_2015_requirements.txt ├── requirements.txt └── scripts └── pycon-2015 ├── __init__.py ├── lesson01_csv.py ├── lesson02_xlsx.py ├── lesson03_databases.py ├── lesson04_05_api_regex.py ├── lesson06_string_processing.py ├── lesson07_calculate.py ├── lesson08_journalism.py ├── lesson09_matplotlib.py ├── lesson10_pygal.py ├── lesson11_bokeh.py ├── lesson12_pandas.py ├── lesson13_pandas_join.py └── lesson14_pandas_compute.py /.gitignore: -------------------------------------------------------------------------------- 1 | *~ 2 | *.pyc 3 | openbooks/* 4 | *.db 5 | .* 6 | !/.gitignore 7 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/kjam/data-wrangling-pycon/HEAD/README.md -------------------------------------------------------------------------------- /books/intro-to-python/01 - Basic Data 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