Cython
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Cython
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Author : Kurt W. Smith
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-01-21
Cython written by Kurt W. Smith and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-21 with Computers categories.
Build software that combines Python’s expressivity with the performance and control of C (and C++). It’s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical guide, you’ll learn how to use Cython to improve Python’s performance—up to 3000x— and to wrap C and C++ libraries in Python with ease. Author Kurt Smith takes you through Cython’s capabilities, with sample code and in-depth practice exercises. If you’re just starting with Cython, or want to go deeper, you’ll learn how this language is an essential part of any performance-oriented Python programmer’s arsenal. Use Cython’s static typing to speed up Python code Gain hands-on experience using Cython features to boost your numeric-heavy Python Create new types with Cython—and see how fast object-oriented programming in Python can be Effectively organize Cython code into separate modules and packages without sacrificing performance Use Cython to give Pythonic interfaces to C and C++ libraries Optimize code with Cython’s runtime and compile-time profiling tools Use Cython’s prange function to parallelize loops transparently with OpenMP
Learning Cython Programming
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Author : Philip Herron
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-02-22
Learning Cython Programming written by Philip Herron and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-22 with Computers categories.
Learn the fundamentals of Cython to extend the legacy of your applications About This Book Learn how to extend C applications with pure Python code Get more from Python – you'll not only learn Cython, you'll also unlock a greater understanding of how to harness Python Packed with tips and tricks that make Cython look easy, dive into this accessible programming guide and find out what happens when you bring C and Python together! Who This Book Is For This book is for developers who are familiar with the basics of C and Python programming and wish to learn Cython programming to extend their applications. What You Will Learn Reuse Python logging in C Make an IRC bot out of your C application Extend an application so you have a web server for rest calls Practice Cython against your C++ code Discover tricks to work with Python ConfigParser in C Create Python bindings for native libraries Find out about threading and concurrency related to GIL Expand Terminal Multiplexer Tmux with Cython In Detail Cython is a hybrid programming language used to write C extensions for Python language. Combining the practicality of Python and speed and ease of the C language it's an exciting language worth learning if you want to build fast applications with ease. This new edition of Learning Cython Programming shows you how to get started, taking you through the fundamentals so you can begin to experience its unique powers. You'll find out how to get set up, before exploring the relationship between Python and Cython. You'll also look at debugging Cython, before moving on to C++ constructs, Caveat on C++ usage, Python threading and GIL in Cython. Finally, you'll learn object initialization and compile time, and gain a deeper insight into Python 3, which will help you not only become a confident Cython developer, but a much more fluent Python developer too. Style and approach This practical and a fast-paced guide gives you all the information you need to start programming using Cython.
Cython
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Author : Kurt W. Smith
language : en
Publisher:
Release Date : 2015
Cython written by Kurt W. Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with COMPUTERS categories.
Build software that combines Python{u2019}s expressivity with the performance and control of C (and C++). It{u2019}s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical guide, you{u2019}ll learn how to use Cython to improve Python{u2019}s performance{u2014}up to 3000x{u2014} and to wrap C and C++ libraries in Python with ease. Author Kurt Smith takes you through Cython{u2019}s capabilities, with sample code and in-depth practice exercises. If you{u2019}re just starting with Cython, or want to go deeper, you{u2019}ll learn how this language is an essential part of any performance-oriented Python programmer{u2019}s arsenal. Use Cython{u2019}s static typing to speed up Python code Gain hands-on experience using Cython features to boost your numeric-heavy Python Create new types with Cython{u2014}and see how fast object-oriented programming in Python can be Effectively organize Cython code into separate modules and packages without sacrificing performance Use Cython to give Pythonic interfaces to C and C++ libraries Optimize code with Cython{u2019}s runtime and compile-time profiling tools Use Cython{u2019}s prange function to parallelize loops transparently with OpenMP.
Learning Cython Programming
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Author : Philip Herron
language : en
Publisher:
Release Date : 2013
Learning Cython Programming written by Philip Herron and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with C (Computer program language) categories.
Cython is a very powerful combination of Python and C. Using Cython, you can write Python code that calls back and forth from and to C or C++ code natively at any point. It is a language with extra syntax allowing for optional static type declarations. It is also a very popular language as it can be used for multicore programming.Learning Cython Programming will provide you with a detailed guide to extending your native applications in pure Python; imagine embedding a twisted web server into your native application with pure Python code. You will also learn how to get your new applications up and running by reusing Python's extensive libraries such as Logging and Config Parser to name a few.With Learning Cython Programming, you will learn that writing your own Python module in C from scratch is not only hard, but is also unsafe. Cython will automatically handle all type-conversion issues as well as garbage collection on your code. You can also still write all your code in Python but have it compiled and called directly in C as if it was just another function or data.This book also demonstrates how you can take the open source project Tmux and extend it to add new commands directly in pure Python. With this book, you will learn everything you need to know to get up and running with Cython and how you can reuse examples in a practical way.
Cython
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Author : Kurt W. Smith
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-01-21
Cython written by Kurt W. Smith and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-21 with Computers categories.
Build software that combines Python’s expressivity with the performance and control of C (and C++). It’s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical guide, you’ll learn how to use Cython to improve Python’s performance—up to 3000x— and to wrap C and C++ libraries in Python with ease. Author Kurt Smith takes you through Cython’s capabilities, with sample code and in-depth practice exercises. If you’re just starting with Cython, or want to go deeper, you’ll learn how this language is an essential part of any performance-oriented Python programmer’s arsenal. Use Cython’s static typing to speed up Python code Gain hands-on experience using Cython features to boost your numeric-heavy Python Create new types with Cython—and see how fast object-oriented programming in Python can be Effectively organize Cython code into separate modules and packages without sacrificing performance Use Cython to give Pythonic interfaces to C and C++ libraries Optimize code with Cython’s runtime and compile-time profiling tools Use Cython’s prange function to parallelize loops transparently with OpenMP
Learning Cython
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Author : Caleb Hattingh
language : en
Publisher:
Release Date : 2016
Learning Cython written by Caleb Hattingh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Internet videos categories.
In this Learning Cython training course, expert author Caleb Hattingh will teach you how to create your own simple extension modules in Cython, analyze performance of Cython code, and package your Cython extension module so it can be shared with others. This course is designed for users that already have a basic working knowledge of Python. You will start by learning the basics of Cython, such as how to compile Cython, add tests, and add types. From there, Caleb will teach you how to explore Cython with the Jupyter Notebook. This video tutorial will also teach you about the Cython language, such as adding types to code, exceptions and docstrings, and loops and memoryviews. You will also cover extension types, wrapping C and C++ libraries, Cython compiler directives, and concurrency. Finally, Caleb will leave you with some tips and tricks. Once you have completed this computer based training course, you will have learned how to create your own simple extension modules in Cython, analyze the performance of Cython code, and how to package your own Cython extension module so that it can be shared with others.
Python High Performance
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Author : Gabriele Lanaro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-05-24
Python High Performance written by Gabriele Lanaro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-24 with Computers categories.
Learn how to use Python to create efficient applications About This Book Identify the bottlenecks in your applications and solve them using the best profiling techniques Write efficient numerical code in NumPy, Cython, and Pandas Adapt your programs to run on multiple processors and machines with parallel programming Who This Book Is For The book is aimed at Python developers who want to improve the performance of their application. Basic knowledge of Python is expected What You Will Learn Write efficient numerical code with the NumPy and Pandas libraries Use Cython and Numba to achieve native performance Find bottlenecks in your Python code using profilers Write asynchronous code using Asyncio and RxPy Use Tensorflow and Theano for automatic parallelism in Python Set up and run distributed algorithms on a cluster using Dask and PySpark In Detail Python 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. Style and approach A step-by-step practical guide filled with real-world use cases and examples
Advanced Python Programming
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Author : Dr. Gabriele Lanaro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28
Advanced Python Programming written by Dr. Gabriele Lanaro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Computers categories.
Create distributed applications with clever design patterns to solve complex problems Key FeaturesSet up and run distributed algorithms on a cluster using Dask and PySparkMaster skills to accurately implement concurrency in your codeGain practical experience of Python design patterns with real-world examplesBook Description This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover 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. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: Python High Performance - Second Edition by Gabriele LanaroMastering Concurrency in Python by Quan NguyenMastering Python Design Patterns by Sakis KasampalisWhat you will learnUse NumPy and pandas to import and manipulate datasetsAchieve native performance with Cython and NumbaWrite asynchronous code using asyncio and RxPyDesign highly scalable programs with application scaffoldingExplore abstract methods to maintain data consistencyClone objects using the prototype patternUse the adapter pattern to make incompatible interfaces compatibleEmploy the strategy pattern to dynamically choose an algorithmWho this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.
Learning Cython
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Author : Caleb Hattingh
language : en
Publisher:
Release Date : 2016
Learning Cython written by Caleb Hattingh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
"In this Learning Cython training course, expert author Caleb Hattingh will teach you how to create your own simple extension modules in Cython, analyze performance of Cython code, and package your Cython extension module so it can be shared with others. This course is designed for users that already have a basic working knowledge of Python. You will start by learning the basics of Cython, such as how to compile Cython, add tests, and add types. From there, Caleb will teach you how to explore Cython with the Jupyter Notebook. This video tutorial will also teach you about the Cython language, such as adding types to code, exceptions and docstrings, and loops and memoryviews. You will also cover extension types, wrapping C and C++ libraries, Cython compiler directives, and concurrency. Finally, Caleb will leave you with some tips and tricks."--Resource description page.
Ipython Interactive Computing And Visualization Cookbook
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Author : Cyrille Rossant
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-09-25
Ipython Interactive Computing And Visualization Cookbook written by Cyrille Rossant and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-25 with Computers categories.
Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.