nach der Bestellung gedruckt Neuware - Printed after ordering - Use advanced features of Python to write high-quality, readable code and packages Key Features:Extensively updated for Python 3.10 with new chapters on design patterns, scientific programming, machine learning, and interactive Python Shape your scripts using key concepts like concurrency, performance optimization, asyncio, and multiprocessing Learn how advanced Python features fit together to produce maintainable code Book Description: 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 and four new chapters. 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 What You Will Learn:Write beautiful Pythonic code and avoid common Python coding mistakes Apply the power of decorators, generators, coroutines, and metaclasses Use different testing systems like pytest, unittest, and doctest Track and optimize application performance for both memory and CPU usage Debug your applications with PDB, Werkzeug, and faulthandler Improve your performance through asyncio, multiprocessing, and distributed computing Explore popular libraries like Dask, NumPy, SciPy, pandas, TensorFlow, and scikit-learn Extend Python's capabilities with C/C++ libraries and system calls Who this book is for: This book will benefit more experienced Python programmers who wish to upskill, serving as a reference for best practices and some of the more intricate Python techniques. Even if you have been using Python for years, chances are that you haven't yet encountered every topic discussed in this book. A good understanding of Python programming is necessary.

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Detalles bibliogr�ficos

T�tulo: Mastering Python - Second Edition : Write powerful and efficient code using the full range of Python's capabilities
Editor: Packt Publishing
Fecha de publicaci�n: 2022
Idioma: Ingl�s
ISBN 10: 1800207727
ISBN 13: 9781800207721
Encuadernaci�n: Taschenbuch
Edici�n: 2� Edici�n
Estado: Neu
Dimensiones: 235�mil�metros de ancho por 191 de alto por 38 de largo
Peso: 1302 gramos

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Sinopsis

Use advanced features of Python to write high-quality, readable code and packages

Key Features:

Extensively updated for Python 3.10 with new chapters on design patterns, scientific programming, machine learning, and interactive Python
Shape your scripts using key concepts like concurrency, performance optimization, asyncio, and multiprocessing
Learn how advanced Python features fit together to produce maintainable code

Book Description:

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 and four new chapters.

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

What You Will Learn:

Write beautiful Pythonic code and avoid common Python coding mistakes
Apply the power of decorators, generators, coroutines, and metaclasses
Use different testing systems like pytest, unittest, and doctest
Track and optimize application performance for both memory and CPU usage
Debug your applications with PDB, Werkzeug, and faulthandler
Improve your performance through asyncio, multiprocessing, and distributed computing
Explore popular libraries like Dask, NumPy, SciPy, pandas, TensorFlow, and scikit-learn
Extend Python's capabilities with C/C++ libraries and system calls

Who this book is for:

This book will benefit more experienced Python programmers who wish to upskill, serving as a reference for best practices and some of the more intricate Python techniques. Even if you have been using Python for years, chances are that you haven't yet encountered every topic discussed in this book. A good understanding of Python programming is necessary

Acerca del autor

Rick van Hattem is an experienced programmer, entrepreneur, Stack Overflow veteran, and software/database architect with more than 20 years of programming experience, including 15 years with Python. He has extensive experience with high-performance architecture featuring large amounts of concurrent users and/or data. Rick has founded several start-ups and has consulted many companies, including a few Y Combinator start-ups and several large businesses

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