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Guleria P. Basics of Python Programming. Learn Python in 30 days 2ed 2024

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Guleria P. Basics of Python Programming. Learn Python in 30 days 2ed 2024

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Category: Other
Total size: 51.77 MB
Added: 2025-03-10 23:38:54

Share ratio: 16 seeders, 2 leechers
Info Hash: 467BD8C556752C88F6AF4DBFC6A512126B2C9AEE
Last updated: 6.7 hours ago

Description:

Textbook in PDF format The basics of Python are the book's main focus. With practical examples, students will understand the fundamentals of Python. This book is designed in a way that should make every example understandable to the readers. In addition, from the perspective of a competitive examination, the book offers multiple-choice questions, true/false questions, and practical solved exercises. Through this book, the readers will be able to learn Python basics. This includes setting up your environment and manipulating data. Additionally, they will also learn how to master control flow with conditional statements and loops for more responsive programs and utilize functions for organizing code and file handling to work with local data. Learners will also explore object-oriented programming (OOP) and essential libraries like NumPy for advanced programming. This edition brings a new horizon of NumPy and Tkinter for numerical computing tasks like array manipulations, tackling complex problems, and building user-friendly applications with interactive graphical interfaces, respectively. The author is optimistic that students who want to complete a thorough using Python will find relief in this work. This book provides a range of real-world examples, conceptual challenges, and methodically worked-out solutions to help readers understand programming ideas through clear explanations and examples. Additionally, it covers every topic necessary for students to gain a thorough understanding of the fundamentals of Python. Introduction to Python Variables, Datatypes and Operators Conditions and Loops Arrays and Functions Lists, Tuples, Iterators Generators, and Sets Dictionaries and Modules File Handling and Databases Object-Oriented Programming Regular Expressions, Date and Time Exception Handling NumPy and TKinter Appendix: Practice Exercises with Solutions