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о Find ❤ Python High Performance - Second Edition: Build high-performing, concurrent, and distributed applications ⢇ Kindle Ebook By Gabriele Lanaro ⣐

о Find  ❤ Python High Performance - Second Edition: Build high-performing, concurrent, and distributed applications  ⢇ Kindle Ebook By Gabriele Lanaro ⣐ о Find ❤ Python High Performance - Second Edition: Build high-performing, concurrent, and distributed applications ⢇ Kindle Ebook By Gabriele Lanaro ⣐ Key FeaturesIdentify the bottlenecks in your applications and solve them using the best profiling techniquesWrite efficient numerical code in NumPy, Cython, and PandasAdapt your programs to run on multiple processors and machines with parallel programmingBook DescriptionPython is a versatile language that has found applications in many industries The clean syntax, rich standard library, and vast selection of third party libraries make Python a wildly popular language.Python High Performance is a practical guide that shows how to leverage the power of both native and third party Python libraries to build robust applications.The book explains how to use various profilers to find performance bottlenecks and apply the correct algorithm to fix them The reader will learn how to effectively use NumPy and Cython to speed up numerical code The book explains concepts of concurrent programming and how to implement robust and responsive applications using Reactive programming Readers will learn how to write code for parallel architectures using Tensorflow and Theano, and use a cluster of computers for large scale computations using technologies such as Dask and PySpark.By the end of the book, readers will have learned to achieve performance and scale from their Python applications.What you will learnWrite efficient numerical code with the NumPy and Pandas librariesUse Cython and Numba to achieve native performanceFind bottlenecks in your Python code using profilersWrite asynchronous code using Asyncio and RxPyUse Tensorflow and Theano for automatic parallelism in PythonSet up and run distributed algorithms on a cluster using Dask and PySparkAbout the AuthorDr Gabriele Lanaro has been conducting research to study the formation and growth of crystals using medium and large scale computer simulations In 2017, he obtained his PhD in theoretical chemistry His interests span machine learning, numerical computing visualization, and web technologies He has a sheer passion for good software and is the author of the chemlab and chemview open source packages In 2013, he authored the first edition of the book High Performance Python Programming.I d like to acknowledge the support from Packt editors, including Vikas Tiwari I would also like to thank my girlfriend, Harani, who had to tolerate the way too long writing nights, and friends who provided company and support throughout Also, as always, I d love to thank my parents for giving me the opportunity to pursue my ambitions.Lastly, I would like to thank Blenz coffee for powering the execution engine of this book through electricity and caffeine.Table of ContentsBenchmarking and profilingPure Python Optimization techniquesFast array operationsC performance with CythonExploring CompilersImplementing concurrencyParallel processingDistributed ProcessingDesigning for High Performance High Performance Python O Reilly Media Experienced programmers will learn concrete solutions to these and other issues, along with war stories from companies that use high performance for social media analytics, productionized machine learning, situations Python in High computing What is Modern, interpreted, object oriented, full featured level programming language Portable Unix Linux, Mac OS X, Windows PYTHON WIRE ROPE Wire rope a very complex machinery element which primary function the transmission of tensile forces Its basic constructional design allows repeated changes direction pull through reeving systems incorporating drums sheaves Performance, nd Edition CoderProg practical guide shows how leverage power both native third party libraries build robust applications The book explains various profilers find bottlenecks apply correct algorithm fix them Second Build Yes, by Gorelick Ozsvald an obvious competitor, strong one advanced than Lanaro s, I would guess On hand, as newbie world Python, know s explanation much easier follow PACKT Books versatile has found many industries clean syntax, rich standard library, vast selection make wildly popular GitHub mynameisfiber highperformancepython Code This repository contains code Micha Ian Media Each directory examples chapter addition interesting on subject Topics Covered Gabriele Lanaro state art learning tools m author two editions ProgrammingI love clever algorithms good software engineering Software Engineer Tableau View Gabriele profile LinkedIn, largest professional community jobs listed their See complete LinkedIn discover connections at similar Programming, PhD student Chemistry University British Columbia, field Molecular Simulation He writes analyze chemical large scale simulations Dr been conducting research study formation growth crystals using medium computer In , he obtained his theoretical chemistry Profiles Facebook profiles people named Join Facebook connect others you may gives Toronto, ON, Canada books books Goodreads, currently reading Catcher Rye JD Salinger, recently added How Happiness A S Programming Lanaro, Skip main content Search history over billion web pages Internet gabrielelanaro GitHub GitHub where More million discover, fork, contribute projects Writing Faster Applications About candidate molecular simulation Write your custom latex bibliography style minutes Write minutes You re ready submit paper, but there last thing supervisor publisher teacher requests you, only slight modification Why don t put date bold, semicolon between names Python High Performance - Second Edition: Build high-performing, concurrent, and distributed applications

 

    • Python High Performance - Second Edition: Build high-performing, concurrent, and distributed applications
    • 2.3
    • 143
    • Kindle
    • 270 pages
    • 1787282899
    • Gabriele Lanaro
    • English
    • 02 October 2016

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