Skip to main content

Python for Data Analysis Study Notes

June 4, 2025 · One min read

Consultant

Chap 3 Built-in Data Structures, Functions, and Files

Chapter 4. NumPy Basics: Arrays and Vectorized Computation

While NumPy by itself does not provide modeling or scientific functionality, having an understanding of NumPy arrays and array-oriented computing will help you use tools with array computing semantics, like pandas, much more effectively.

Chapter 5. Getting Started with pandas

Chpater 6. Data Loading, Storage, and File Formats

Chapter 7. Data Cleaning and Preparation

Chapter 8. Data Wrangling: Join, Combine, and Reshape

Chapter 9. Plotting and Visualization

Chapter 10. Data Aggregation and Group Operations

Chapter 11. Time Series

Chapter 12. Introduction to Modeling Libraries in Python

Chapter 13. Data Analysis Examples

Chap 3 Built-in Data Structures, Functions, and Files
Chapter 4. NumPy Basics: Arrays and Vectorized Computation
Chapter 5. Getting Started with pandas
Chpater 6. Data Loading, Storage, and File Formats
Chapter 7. Data Cleaning and Preparation
Chapter 8. Data Wrangling: Join, Combine, and Reshape
Chapter 9. Plotting and Visualization
Chapter 10. Data Aggregation and Group Operations
Chapter 11. Time Series
Chapter 12. Introduction to Modeling Libraries in Python
Chapter 13. Data Analysis Examples