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Mastering Python : write powerful and efficient code using the full range of Python's capabilities /
Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python's capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding adv...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Birmingham, United Kingdom] :
Packt,
[2022]
|
| Edición: | Second edition. |
| Colección: | Expert insight.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Hattem, Rick van, |e author. | |
| 245 | 1 | 0 | |a Mastering Python : |b write powerful and efficient code using the full range of Python's capabilities / |c Rick van Hattem. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a [Birmingham, United Kingdom] : |b Packt, |c [2022] | |
| 300 | |a 1 online resource (710 pages) : |b illustrations | ||
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| 500 | |a Includes index. | ||
| 520 | |a Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python's capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code's performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community. If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges. | ||
| 505 | 0 | |a Table of Contents Getting Started – One Environment per Project Interactive Python Interpreters Pythonic Syntax and Common Pitfalls Pythonic Design Patterns Functional Programming – Readability Versus Brevity Decorators – Enabling Code Reuse by Decorating Generators and Coroutines – Infinity, One Step at a Time Metaclasses – Making Classes (Not Instances) Smarter Documentation – How to Use Sphinx and reStructuredText Testing and Logging – Preparing for Bugs Debugging – Solving the Bugs Performance – Tracking and Reducing Your Memory and CPU Usage asyncio – Multithreading without Threads Multiprocessing – When a Single CPU Core Is Not Enough Scientific Python and Plotting Artificial Intelligence Extensions in C/C++, System Calls, and C/C++ Libraries Packaging – Creating Your Own Libraries or Applications. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Python (Computer program language) | |
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