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Learn Python Programming
Learn Python Programming

Learn Python Programming: A comprehensive, up-to-date, and definitive guide to learning Python , Fourth Edition

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Profile Icon Fabrizio Romano Profile Icon Heinrich Kruger
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$32.39 $35.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5 (2 Ratings)
eBook Nov 2024 616 pages 4th Edition
eBook
$32.39 $35.99
Paperback
$39.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Fabrizio Romano Profile Icon Heinrich Kruger
Arrow right icon
$32.39 $35.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5 (2 Ratings)
eBook Nov 2024 616 pages 4th Edition
eBook
$32.39 $35.99
Paperback
$39.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$32.39 $35.99
Paperback
$39.99
Subscription
Free Trial
Renews at $19.99p/m

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Learn Python Programming

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Key benefits

  • Create and deploy APIs and CLI applications, leveraging Python’s strengths in scripting and automation
  • Stay current with the latest features and improvements in Python, including pattern matching and the latest exception handling syntax
  • Engage with new real-world examples and projects, including competitive programming problems, to solidify your understanding of Python

Description

Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, you will have a clear idea of where to go and how to build on what you have learned from the book. Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.

Who is this book for?

This Python programming book is for everyone who wants to learn Python from scratch, as well as experienced programmers looking for a reference book. Prior knowledge of basic programming concepts will help you follow along, but it’s not a prerequisite

What you will learn

  • Install and set up Python on Windows, Mac, and Linux
  • Write elegant, reusable, and efficient code
  • Avoid common pitfalls such as duplication and over-engineering
  • Use functional and object-oriented programming approaches appropriately
  • Build APIs with FastAPI and program CLI applications
  • Understand data persistence and cryptography for secure applications
  • Manipulate data efficiently using Python's built-in data structures
  • Package your applications for distribution via the Python Package Index (PyPI)
  • Solve competitive programming problems with Python

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 29, 2024
Length: 616 pages
Edition : 4th
Language : English
ISBN-13 : 9781835882955
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Product Details

Publication date : Nov 29, 2024
Length: 616 pages
Edition : 4th
Language : English
ISBN-13 : 9781835882955
Category :
Languages :

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Table of Contents

19 Chapters
A Gentle Introduction to Python Chevron down icon Chevron up icon
Built-In Data Types Chevron down icon Chevron up icon
Conditionals and Iteration Chevron down icon Chevron up icon
Functions, the Building Blocks of Code Chevron down icon Chevron up icon
Comprehensions and Generators Chevron down icon Chevron up icon
OOP, Decorators, and Iterators Chevron down icon Chevron up icon
Exceptions and Context Managers Chevron down icon Chevron up icon
Files and Data Persistence Chevron down icon Chevron up icon
Cryptography and Tokens Chevron down icon Chevron up icon
Testing Chevron down icon Chevron up icon
Debugging and Profiling Chevron down icon Chevron up icon
Introduction to Type Hinting Chevron down icon Chevron up icon
Data Science in Brief Chevron down icon Chevron up icon
Introduction to API Development Chevron down icon Chevron up icon
CLI Applications Chevron down icon Chevron up icon
Packaging Python Applications Chevron down icon Chevron up icon
Programming Challenges Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5
(2 Ratings)
5 star 50%
4 star 0%
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2 star 50%
1 star 0%
N/A Jan 28, 2025
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Feefo Verified review Feefo
Hiroaki Nov 15, 2025
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
I think this book is for already know python but forget about it. Example is not first leaner's friendly. And first part of book used python CLI prompt image is used to explain. But python prompt is not user friendly as we make sometime typo and get error. I think Jupyter Note Book in vscode is best choice for this kind of basic code. Because user get back the previous code and collect error is easy task. I didn't read the book for the reason of that. And I rethink of it python is not useful tool set for new learner's. Because learning programming need type description and pointer knowledge is must. Python not have it. If you think C is not useful in recent years computer environment, But first learn C is good. Because Go and TypeScript is have type description language and used lot of situation now. And you must not want to write a test for myself. AI write better test for this kind of type annotation language. So Ruby and Python is gradually would get old type language in a few years.
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