Python programming Опции

[Williams]

Burkhard A. Meier- Python GUI Programming Cookbook, 2nd Edition

Packt Publishing, 2017
PDF, EPUB, AZW3 - 422 pages, english
ISBN 139781787129450



Master over 80 object-oriented recipes to create amazing GUIs in Python and revolutionize your applications today

Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Python GUI Programming Cookbook follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary.

This book will guide you through the very basics of creating a fully functional GUI in Python with only a few lines of code. Each and every recipe adds more widgets to the GUIs we are creating. While the cookbook recipes all stand on their own, there is a common theme running through all of them. As our GUIs keep expanding, using more and more widgets, we start to talk to networks, databases, and graphical libraries that greatly enhance our GUI’s functionality. This book is what you need to expand your knowledge on the subject of GUIs, and make sure you’re not missing out in the long run.

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27 Mb

[Williams]

Quan Nguyen - Advanced Python Programming, 2nd Edition

Packt, 2023
pdf, 606 pages, english
ISBN 9781801814010



Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages.

In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level.

This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models.

The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming.

You'll also understand the common problems that cause undesirable behavior in concurrent programs.

Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable.

By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases.

What you will learn
- 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

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