5. Getting Started with pandas

Python for Data Analysis Book Club

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Welcome
1. Preliminaries
- 1 Notes
- Video
2. Python Language Basics, IPython, and Jupyter Notebooks
- Video
3. Built-in Data Structures, Functions, and Files
- 2 Data Structures and Sequences
- Video
4. NumPy Basics: Arrays and Vectorized Computation
- Video
5. Getting Started with pandas
- Notes
- Video
6. Data Loading, Storage, and File Formats
- Notes
- Video
7. Data Cleaning and Preparation
- Video
8. Data Wrangling: Join, Combine, and Reshape
- Video
9. Plotting and Visualization
- Video
10. Data Aggregation and Group Operations
- Video
11. Time Series
- Video
12. Introduction to Modeling Libraries in Python
- 3 Notes
- Video
13. Data Analysis Examples
- Video
Examples
- Example Quarto Document
- 4 NumPy
Appendices
- How to add to the book

Table of contents

Learning Objectives

5. Getting Started with pandas

Learning Objectives

Learn about Pandas two major data structures: Series and DataFrame
Learn some essential functionality!

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