SKU/Artículo: AMZ-1800207727
Mastering Python: Write powerful and efficient code using the full range of Python's capabilities, 2nd Edition
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Paperback
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En stock
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1.37 kg
1.37 kg
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Sí
Sí
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Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- Use advanced features of Python to write high-quality, readable code and packagesKey FeaturesExtensively updated for Python 3.10 with new chapters on design patterns, scientific programming, machine learning, and interactive PythonShape your scripts using key concepts like concurrency, performance optimization, asyncio, and multiprocessingLearn how advanced Python features fit together to produce maintainable codeBook DescriptionEven 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 challengesWhat you will learnWrite beautiful Pythonic code and avoid common Python coding mistakesApply the power of decorators, generators, coroutines, and metaclassesUse different testing systems like pytest, unittest, and doctestTrack and optimize application performance for both memory and CPU usageDebug your applications with PDB, Werkzeug, and faulthandlerImprove your performance through asyncio, multiprocessing, and distributed computingExplore popular libraries like Dask, NumPy, SciPy, pandas, TensorFlow, and scikit-learnExtend Python's capabilities with C/C++ libraries and system callsWho this book is forThis 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 necessaryTable of ContentsGetting Started – One Environment per ProjectInteractive Python InterpretersPythonic Syntax and Common PitfallsPythonic Design PatternsFunctional Programming – Readability Versus BrevityDecorators – Enabling Code Reuse by DecoratingGenerators and Coroutines – Infinity, One Step at a TimeMetaclasses – Making Classes (Not Instances) SmarterDocumentation – How to Use Sphinx and reStructuredTextTesting and Logging – Preparing for BugsDebugging – Solving the BugsPerformance – Tracking and Reducing Your Memory and CPU Usageasyncio – Multithreading without ThreadsMultiprocessing – When a Single CPU Core Is Not EnoughScientific Python and PlottingArtificial IntelligenceExtensions in C/C++, System Calls, and C/C++ LibrariesPackaging – Creating Your Own Libraries or Applications
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AR$102.518
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