A Beginner-Friendly Pandas Tutorial designed to walk through the essentials of data manipulation and analysis using Python's powerful library, Pandas. This tutorial has been modified from ajitsingh98/Hands-on-with-Pandas via the MIT License. The tutorial covers the following topics:
- Creating Data Structures
- Viewing Data
- Summarizing Data
- Exploratory Data Analysis
- Accessing Data
- Conditional Selection
- Advanced Indexing
- Modifying DataFrames
- Data Type Conversion
- Index Management
- Advanced Manipulation
- Identifying Missing Data
- Handling Missing Data
- Cleaning Operations
- Combining Data
- Date-Time Conversion
- Time-Series Analysis
- Visual Representation
- Reading Data
- Writing Data
We will be working through the Exercise in class for an active learning experince.