Complete Python Pandas Data Science Tutorial - 2024 Updated Edition

Complete Python Pandas Data Science Tutorial - 2024 Updated Edition

Keith Galli via YouTube Direct link

- New Functionality | Pandas 1.0 vs Pandas 2.0 - pyarrow

26 of 28

26 of 28

- New Functionality | Pandas 1.0 vs Pandas 2.0 - pyarrow

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Complete Python Pandas Data Science Tutorial - 2024 Updated Edition

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  1. 1 - Video Overview
  2. 2 - Getting Started with Python Pandas | Google Colab
  3. 3 - Getting Started with Python Pandas | Local Environment Setup Cloning code, using virtual environment, VS Code
  4. 4 - Intro to Dataframes | Creating DataFrames, Index/Columns, Basic Functionality
  5. 5 - Loading in DataFrames from Files CSV, Excel, Parquet, etc.
  6. 6 - Accessing Data | .head .tail .sample
  7. 7 - Accessing Data | .loc .iloc
  8. 8 - Setting DataFrame Values w/ loc & iloc
  9. 9 - Accessing Single Values | .at .iat
  10. 10 - Accessing Data | Grab Columns, Sort Values, Ascending/Descending
  11. 11 - Iterating over a DataFrame df with a For Loop | df.iterrows
  12. 12 - Filtering Data | Syntax Options, Numeric Values, Multiple Conditions
  13. 13 - Filtering Data | String Operations, Regular Expressions Regex
  14. 14 - Filtering Data | Query Functions
  15. 15 - Adding / Removing Columns | Basics, Conditional Values, Math Operations, Renaming Columns
  16. 16 - Adding / Removing Columns | String Operations, Datetime pd.to_datetime Operations
  17. 17 - Saving our Updated DataFrame df.to_csv, df.to_excel, df.to_parquet, etc
  18. 18 - Adding / Removing Columns | Using Lambda & Custom Functions w/ .apply
  19. 19 - Merging & Concatenating Data | pd.merge, pd.concat, types of joins
  20. 20 - Handling Null Values NaNs | .fillna .interpolate .dropna .isna .notna
  21. 21 - Aggregating Data | value_counts
  22. 22 - Aggregating Data | Using Groupby - groupby .sum .mean .agg
  23. 23 - Aggregating Data | Pivot Tables
  24. 24 - Groupby combined with Datetime Operations
  25. 25 - Advanced Functionality | .shift .rank .cumsum .rolling
  26. 26 - New Functionality | Pandas 1.0 vs Pandas 2.0 - pyarrow
  27. 27 - New Functionality | GitHub Copilot & OpenAI ChatGPT
  28. 28 - What Next?? | Continuing your Python Pandas Learning…

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