Learn all about Pandas

The book covers the following topics:

1 Introduction
Explanation of what Pandas is and its advantages

2. Installation and Setup
How to install Pandas
Setting up the environment (Jupyter Notebook, IDE, etc.)

3. Pandas Fundamentals
Series and DataFrame objects
Indexing and selecting data
Operations and transformations on data

4. Data Cleaning and Preparation
Handling missing values
Removing duplicates
Data types and conversions
Merging, joining, and concatenating data

5. Data Analysis and Exploration
Grouping and aggregating data
Pivot tables and cross-tabulations
Time-series analysis
Visualization with Pandas

6. Advanced Topics
Handling large datasets
Memory optimization techniques
Working with multi-dimensional data
Custom functions and extensions

7. Real-world Applications
Case studies and examples using Pandas in various domains
Best practices and tips for efficient Pandas usage