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A Beginner’s Guide to Python for Data Science

An Introduction to the language powering the world of AI
Partha Mishra
Type: Print Book
Genre: Information Technology, Computer Programming
Language: English
Price: ₹1,000 + shipping
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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

About the Author

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.

Book Details

Number of Pages: 221
Dimensions: 5.5"x8.5"
Interior Pages: B&W
Binding: Paperback (Perfect Binding)
Availability: In Stock (Print on Demand)

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