Learn python pdf books

Saved searches

Use saved searches to filter your results more quickly

You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session.

Python books free to read online or download

License

pamoroso/free-python-books

This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?

Sign In Required

Please sign in to use Codespaces.

Launching GitHub Desktop

If nothing happens, download GitHub Desktop and try again.

Launching GitHub Desktop

If nothing happens, download GitHub Desktop and try again.

Launching Xcode

If nothing happens, download Xcode and try again.

Launching Visual Studio Code

Your codespace will open once ready.

There was a problem preparing your codespace, please try again.

Latest commit

Adding book Think Complexity to section Science

Git stats

Files

Failed to load latest commit information.

README.md

A list of Python books in English that are free to read online or download.

• How the list got started
• What’s in the list
• Why free books?
• Acknowledgments
• How to contribute
• List of free Python books
  • Introductory
  • Intermediate
  • Advanced
  • AI and Machine Learning
  • Computer Science
  • Software Engineering and best practices
  • GUI
  • Tools
  • Web development
  • Data science
  • Science
  • Jupyter Notebook
  • Engineering
  • Cryptography
  • Games

  I had been learning Python for a few weeks when, in January, 2019, I stumbled upon a Reddit post in r/learnpython seeking suggestions on how to become a better programmer.

  One of the comments asked for good books or websites about algorithms and data structures. I had collected links to useful Python learning resources among which the free ebook Problem Solving with Algorithms and Data Structures using Python, so I shared the link in a comment.

  My comment got a couple dozen upvotes, which hinted at the interest in good, easily accessible Python books. Therefore I later put together a list of all the free Python books I had found and posted it to r/Python.

  I was right. My post got hundreds of upvotes and several redditors contributed links to more books and lists, thus confirming the interest in such a resource. The next step was to make my list more useful and widely available by integrating it with the suggestions I got in the Reddit post, publishing it to GitHub, and expanding it with more books.

  It’s the list you’re reading now.

  This list includes the entries I originally posted to Reddit, the books and other lists suggested in the comments, a few more I found since then, and any I’ll discover.

  My definition is fuzzy and necessarily subjective. But I’d say it’s an ebook file, a book-length document, or a website structured like a book that is about Python, is written in English, and can be read online or downloaded for free. Most short online tutorials and how-to pages probably don’t qualify.

  But in the end I recognize a free Python book when I see one.

  The entries are grouped by category or application domain and include coverage at all skill levels, from basic to advanced. Within categories the entries are sorted alphabetically by title.

  Some redditors shared links to other list of free programming books, some of which are about Python. I’ve included them too but there’s of course some overlap with mine.

  I don’t mind paid content. In fact, I also purchased great paid Python ebooks and online resources and I’m going to get more.

  However, free ebooks have several advantages such as often coming in additional handy or downloadable formats. It’s also easier to get books on topics you may be interested in but don’t have an immediate need for.

  Thanks to the redditors who contributed book suggestions and links in my original post: AlSweigart, ASIC_SP, Bisalsn, bitcoin-dude, code_x_7777m isakar-elahim, lask757, mfitzp, pvc, warbird2k.

  If you have books to suggest you can do a pull request or create an issue. Creating an issue is also a good way of providing other feedback.

  List of free Python books

  • 100 Page Python Intro
  • A Byte of Python
  • An Introduction to Python for Linguists
  • Code With Repl.it: Python Projects for Beginners
  • Exploring Python Basics
  • Full Speed Python
  • How To Code in Python
  • Learn Python the Right Way
  • Non-Programmer’s Tutorial for Python 3
  • Python 101
  • Slither Into Python
  • The Python Coding Book: Understanding what programming really is

  Software Engineering and best practices

  Источник

  Learning Python [PDF]

  

  Learning Python is an introduction to the increasingly popular Python programming language. Python is an interpreted, interactive, object-oriented scripting language. Python is growing in popularity because:

  • It is available on all important platforms: Windows NT, Windows 95, Windows 98, Linux, all major UNIX platforms, MacOS, and even the BeOS.
  • It is open-source software, copyrighted but freely available for use, even in commercial applications.
  • Its clean object-oriented interface makes it a valuable prototyping tool for C++ programmers.
  • It works well with all popular windowing toolkits, including MFC, Tk, Mac, X11, and Motif. Learning Python is written by Mark Lutz, author of Programming Python and Python Pocket Reference; and David Ascher, a vision scientist and Python user. This book starts with a thorough introduction to the elements of Python: types, operators, statements, classes, functions, modules, and exceptions. By reading the first part of the book, the reader will be able to understand and construct programs in the Python language. In the second part of the book, the authors present more advanced information, demonstrating how Python performs common tasks and presenting real applications and the libraries available for those applications.

  All the examples use the Python interpreter, so the reader can type them in and get instant feedback. Each chapter ends with a series of exercises. Solutions to the exercises are in an appendix.

  

  You can also get this PDF by using our Android Mobile App directly:

  Share this:

  Источник

  Python

  

  Data analytics may seem daunting, but if you’re an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you …

  

  Data Structures & Algorithms in Python. John Canning, Alan Broder, Robert Lafore (2023)

  LEARN HOW TO USE DATA STRUCTURES IN WRITING HIGH PERFORMANCE PYTHON PROGRAMS AND ALGORITHMS

  This practical introduction to data structures and algorithms can help every programmer who wants to write more efficient software. Building on Robert Lafore’s legendary Java-based guide, …

  

  Head-First Python. 2 Ed. Paul Barry (2017)

  Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you’ll quickly grasp Python’s fundamentals, working with the built-in data structures and functions. Then you’ll move on to building your very own webapp, exploring …

  

  Python True Book. Jon Rulta (2021)

  We are all probably spending time doing small manual tasks that don’t add much value. It may be scanning through information sources in search of the small bits of relevant information, working with spreadsheets to generate the same graph over …

  

  Разработка геоприложений на языке Python. 3 изд. Эрик Вестра (2017)

  Написание геопространственных программ предполагает решение таких задач, как группирование данных по географическому положению, хранение и анализ больших массивов информации, выполнение сложных расчетов и построение красочных интерактивных карт.

  Книга предоставляет обзор главных геопространственных понятий, источников геоданных и наборов …

  

  Mastering Python Networking. 4 Ed. Eric Chou (2023)

  Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering …

  

  Python Testing with Pytest. 2 Ed. Brian Okken (2022)

  Test applications, packages, and libraries large and small with pytest, Python’s most powerful testing framework. pytest helps you write tests quickly and keep them readable and maintainable. In this fully revised edition, explore pytest’s superpowers — simple asserts, fixtures, parametrization, …

  

  Selenium and Appium with Python. Yogashiva Mathivanan (2023)

  Appium and Selenium are popular open-source frameworks widely used for test automation in the software industry. Python, on the other hand, is a versatile and powerful programming language known for its simplicity and readability. Combining Appium and Selenium with Python …

  

  Learn Python Visually. Tristan Bunn (2021)

  An accessible, visual, and creative approach to teaching core coding concepts using Python’s Processing.py, an open-source graphical development environment.

  This beginners book introduces non-programmers to the fundamentals of computer coding within a visual, arts-focused context. Tristan Bunn’s …

  

  Mastering Python Network Automation. Tim Peters (2023)

  With «Mastering Python Network Automation,» you can streamline container orchestration, configuration management, and resilient networking with Python and its libraries, allowing you to emerge as a skilled network engineer or a strong DevOps professional.

  

  Data Algorithms with Spark. Mahmoud Parsian (2022)

  Apache Spark’s speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will …

  

  Beginning PyQt. 2 Ed. Joshua M. Willman (2022)

  Learn GUI application development from the ground up by building simple projects that teach the fundamentals of using PyQt6. This 2nd edition includes updated code, programs, and new chapters to get you started using the newest version. Taking a practical …

  Источник

  Читайте также:  Выбранный пункт меню html