A Beginner’s Guide to Python for Data Science: An Introduction to the language powering the world of AI

· Partha Mishra
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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

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ກ່ຽວກັບຜູ້ຂຽນ

Partha Mishra is an experienced Data Scientist who has been providing solutions for automating tasks and reducing the turnaround time in the organizations he has associated with. His goal is to help companies deliver faster results thereby creating value for their clients.

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