BOOKS - Ultimate Python Programming Learn Python with 650+ Programs, 900+ Practice Qu...
Ultimate Python Programming Learn Python with 650+ Programs, 900+ Practice Questions, and 5 Projects - Deepali Srivastava 2024 PDF | EPUB BPB Publications BOOKS
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Ultimate Python Programming Learn Python with 650+ Programs, 900+ Practice Questions, and 5 Projects
Author: Deepali Srivastava
Year: 2024
Number of pages: 710
Format: PDF | EPUB
File size: 10.1 MB
Language: ENG

Dive deep into the core concepts of Python. This book provides a comprehensive and thorough introduction to Python, a popular programming language used by various top companies across various domains. Whether you are a novice starting your programming journey or an experienced programmer looking to expand your skill set, this book is designed to assist you in mastering core Python concepts. Starting with the basics, this book guides you through the setup, basic commands, and key language rules. The book covers important ideas like different types of data, variables, and how to control the flow of your programs. You will also learn about collections for organizing data, functions for reusable code, modules for organizing bigger projects, and object-oriented programming for modeling real-world things. Advanced topics include customizing object behavior, efficient data processing, modifying function behavior, and handling errors gracefully. The book includes many figures and coding examples to give you a visual and hands-on experience. There are numerous exercises that provide opportunities to further reinforce your knowledge. By the end of this book, readers will develop a strong foundation in core Python and will gain the confidence to excel in their studies and professional work. This book can be used by anyone who wants to learn Python from scratch. It can be a valuable resource for engineering students and students from other streams who have Python as part of their curriculum. This book facilitates a swift introduction to the language for individuals aiming to transition into data science, AI, or ML.

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