This guide is for anyone interested in learning about Python for Data Science.

I believe in learning the subject hands-on, so all the topics discussed will be immediately followed by examples, which allow you to understand the expected output.

I have designed the book so that each chapter corresponds to a specific concept so that even an absolute beginner with no prior knowledge of coding can follow the book.

By the end of the book, you will have a proper understanding of how Python works and confidently use it in your day-to-day coding activities.

Topics covered:

Chapter 1: Introduction to Python and Data Science
Chapter 2: Setting up your Environment
Chapter 3: Statements and Indentation
Chapter 4: Adding Comments
Chapter 5: Docstrings
Chapter 6: Basic Mathematics in Python
Chapter 7: Declaring Variables in Python
Chapter 8: Type Conversion in Python
Chapter 9: Comparison Operators in Python
Chapter 10: Logical Operators in Python
Chapter 11: Assignment Operators in Python
Chapter 12: Membership and Identity Operators in Python
Chapter 13: Strings in Python
Chapter 14: Lists in Python
Chapter 15: Dictionary in Python
Chapter 16: Tuples in Python
Chapter 17: Sets in Python
Chapter 18: Control Statements - If, Else, Elif in Python:
Chapter 19: For Loops in Python
Chapter 20: While Loop in Python
Chapter 21: Object-Oriented Programming (OOP) in Python