Completed
- Accessing Data | .head .tail .sample
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Classroom Contents
Complete Python Pandas Data Science Tutorial - 2024 Updated Edition
Automatically move to the next video in the Classroom when playback concludes
- 1 - Video Overview
- 2 - Getting Started with Python Pandas | Google Colab
- 3 - Getting Started with Python Pandas | Local Environment Setup Cloning code, using virtual environment, VS Code
- 4 - Intro to Dataframes | Creating DataFrames, Index/Columns, Basic Functionality
- 5 - Loading in DataFrames from Files CSV, Excel, Parquet, etc.
- 6 - Accessing Data | .head .tail .sample
- 7 - Accessing Data | .loc .iloc
- 8 - Setting DataFrame Values w/ loc & iloc
- 9 - Accessing Single Values | .at .iat
- 10 - Accessing Data | Grab Columns, Sort Values, Ascending/Descending
- 11 - Iterating over a DataFrame df with a For Loop | df.iterrows
- 12 - Filtering Data | Syntax Options, Numeric Values, Multiple Conditions
- 13 - Filtering Data | String Operations, Regular Expressions Regex
- 14 - Filtering Data | Query Functions
- 15 - Adding / Removing Columns | Basics, Conditional Values, Math Operations, Renaming Columns
- 16 - Adding / Removing Columns | String Operations, Datetime pd.to_datetime Operations
- 17 - Saving our Updated DataFrame df.to_csv, df.to_excel, df.to_parquet, etc
- 18 - Adding / Removing Columns | Using Lambda & Custom Functions w/ .apply
- 19 - Merging & Concatenating Data | pd.merge, pd.concat, types of joins
- 20 - Handling Null Values NaNs | .fillna .interpolate .dropna .isna .notna
- 21 - Aggregating Data | value_counts
- 22 - Aggregating Data | Using Groupby - groupby .sum .mean .agg
- 23 - Aggregating Data | Pivot Tables
- 24 - Groupby combined with Datetime Operations
- 25 - Advanced Functionality | .shift .rank .cumsum .rolling
- 26 - New Functionality | Pandas 1.0 vs Pandas 2.0 - pyarrow
- 27 - New Functionality | GitHub Copilot & OpenAI ChatGPT
- 28 - What Next?? | Continuing your Python Pandas Learning…
