کتاب "The Quick Python Book - ویرایش چهارم" یک معرفی سریع به زبان برنامه‌نویسی پایتون برای توسعه‌دهندگان میان‌رده است که حالا شامل پوشش ابزارهای هوش مصنوعی نیز می‌شود!

چه شما تازه‌کار باشید و چه بخواهید مهارت‌های پایه‌ای خود را تقویت کنید، کتاب "The Quick Python Book - ویرایش چهارم" شما را سریعاً به نوشتن کدهای مؤثر پایتون می‌رساند. نائومی سیدر، متخصص پایتون و رئیس سابق هیئت مدیره Python Software Foundation، نویسنده این ویرایش بازنگری شده است. نائومی با جزئیات دقیق و دیدگاه‌های تخصصی خود، کتابی نوشته که ترکیبی از عمق زبان و مشاوره‌های کاربردی برای حل مسائل مختلف است.

برای بیش از ۲۵ سال، این کتاب یکی از بهترین منابع یادگیری پایتون بوده است. این کتاب به‌طور مختصر اصول پایه‌ای برنامه‌نویسی را پوشش داده و در عین حال ویژگی‌ها و کتابخانه‌های استاندارد جامع پایتون را به‌طور عمیق و دقیق معرفی می‌کند. در این ویرایش چهارم، پوشش جدیدی از ابزارهای کدنویسی هوش مصنوعی مانند Copilot و Google Colaboratory (Colab) اضافه شده است تا ذهنیتی برای بهره‌برداری بهینه از AI در شما ایجاد کند.

A fast-paced introduction to Python for intermediate developers–now with coverage of generative AI!

For over 25 years, The Quick Python Book has been one of the best Python books money can buy. It concisely covers programming basics, while introducing Python's comprehensive standard library and unique features in depth and detail. In this fourth edition, you’ll find new coverage of AI coding tools like Copilot and Google's Colaboratory (Colab), and develop a mindset that can make the most of AI.

The Quick Python Book, Fourth Edition includes:

• Python syntax, data structures, and best practices

• Python as an object oriented language

• Common Python libraries

• Basic data handling with Python

• Using AI code generation tools with Python

Whether you’re new to Python or looking to advance your basic skills, The Quick Python Book, Fourth Edition will get you writing effective Python code fast. Python authority and former Chair of the Python Software Foundation Board or Directors Naomi Ceder has returned to author this extensively revised fourth edition. With the personal touch of a skilled teacher, Naomi beautifully balances details of the language with the insights and advice you need to handle any task.

Foreword by Luciano Ramalho.

About the technology

System automation. High-performance web apps. Cloud and back-end services. Cutting edge AI. No matter what you’re building, it pays to know how to read and write Python! The Quick Python Book has helped over 100,000 developers get up to speed with the Python programming language. This revised Fourth Edition, fully updated for Python 3.13, explores the latest features and libraries and shows you how to code smarter with AI tools like ChatGPT.

About the book

The Quick Python Book, Fourth Edition teaches you the essential Python features and techniques you need for most common scripting, application programming, and data science tasks. Written for developers comfortable with another programming language, it dives right into the good stuff. New interactive notebooks, quick-check questions, and end-of-chapter labs all help practice and consolidate your new skills. Plus, you’ll find practical advice on writing prompts and using AI assistants to accelerate your day-to-day work.

What's inside

• Python syntax, data structures, and best practices

• Object-oriented Python

• Must-know Python libraries

• Data handling

About the reader

For beginning-intermediate programmers. No prior experience with Python required.

Table of Contents

Part 1. Starting out

1. About Python.

2. Getting started.

3. The quick Python overview.

Part 2. The essentials

4. The absolute basics.

5. Lists, tuples, and sets.

6. Strings.

7. Dictionaries.

8. Control flow.

9. Functions.

10. Modules and scoping rules.

11. Python programs.

12. Using the filesystem.

13. Reading and writing files.

14. Exceptions.

Part 3. Advanced language features

15. Classes and object-oriented programming.

16. Regular expressions.

17. Data types as objects.

18. Packages.

19. Using Python libraries.

Part 4. Working with data

20. Basic file wrangling.

21. Processing data files.

22. Data over the network.

23. Saving data.

24. Exploring data.

Appendix

A. Guide to Python’s documentation.

About the author

Naomi Ceder has been learning, teaching, and writing about Python since 2001. An elected fellow of the Python Software Foundation, Naomi is a past chair of its board of directors. In 2022 she became the seventh person to receive the PSF Distinguished Service Award.