Python for Data Science: Interactive Edition
Master Python Fundamentals for Data Analysis
Table of Contents
- 1 Introduction: Python for Data Science
- 2 Chapter 1: Python Basics
- 3 Chapter 2: Strings
- 4 Chapter 3: Data Structures
- 5 Chapter 4: Data Conversion
- 6 Chapter 5: Execution Control
- 7 Chapter 6: Functions
- 8 Chapter 7: Data Science Libraries
- 9 Chapter 8: Functional Programming
- 10 Chapter 9: Lazy Evaluation
- 11 Chapter 10: Pattern Matching
- 12 Chapter 11: Sorting
- 13 Chapter 12: I/O Operations
- 14 Chapter 13: Data Science Workflows
What's Inside
🚀
Interactive Examples
Run Python code directly in your browser
🧪
Hands-on Exercises
Practice with real-world scenarios
📊
Progress Tracking
Track your learning journey
Recommended Courses
Based on this book's content, here are some courses that might interest you:
Rust Programming Essentials (8 weeks)
Master Rust programming from basics to advanced concepts including ownership, borrowing, and async programming.
Data Science Fundamentals (8 weeks)
Learn statistics, data analysis, and machine learning basics with Python and real-world datasets.
Python for Data Engineering (6 weeks)
Learn data engineering with Python, including ETL pipelines, data processing, and workflow automation.