Python advanced book pdf

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Advanced Python Programming, Second Edition, published by Packt

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PacktPublishing/Advanced-Python-Programming-Second-Edition

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README.md

Advanced Python Programming

This is the code repository for Advanced Python Programming , published by Packt.

Accelerate your Python programs using proven techniques and design patterns

Python comes with a plethora of tools that enable you to create high-performance and robust programs. This book will help you explore these tools to take your programs to the next level by introducing a myriad of advanced functionalities and providing practical knowledge of how to apply them to your own use cases.

This book covers the following exciting features:

• Write efficient numerical code with NumPy, pandas, and Xarray
• Use Cython and Numba to achieve native performance
• Find bottlenecks in your Python code using profilers
• Optimize your machine learning models with JAX
• Implement multithreaded, multiprocessing, and asynchronous programs
• Solve common problems in concurrent programming, such as deadlocks
• Tackle architecture challenges with design patterns

If you feel this book is for you, get your copy today!

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

fork = threading.Lock() partner1 = Spouse('Wife', None) partner2 = Spouse('Husband', partner1) partner1.partner = partner2 partner1.start() 

Following is what you need for this book: This book is for intermediate to experienced Python programmers who are looking to scale up their applications in a systematic and robust manner. Programmers from a range of backgrounds will find this book useful, including software engineers, scientific programmers, and software architects.

With the following software and hardware list you can run all code files present in the book (Chapter 1-26).

Software and Hardware List

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

Quan Nguyen is a Python programmer and machine learning enthusiast. He is interested in solving decision-making problems under uncertainty. Quan has authored several books on Python programming and scientific computing. He is currently pursuing a Ph.D. degree in computer science at Washington University in St. Louis, researching Bayesian methods in machine learning.

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

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Advanced Python Programming, Second Edition, published by Packt

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Python books free to read online or download

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pamoroso/free-python-books

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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