Amazon Digital Services, 2015. β 115 p.<div class="bb-sep"></div>Python Programming Guide - Learn Python In 24 Hours Or Less is a book for beginners to dive deep right into the language with examples. No prior knowledge of Python required.<div class="bb-sep"></div>Python is a very popular programmin
Learning Cython Programming: Expand your existing legacy applications in C using Python
β Scribed by Philip Herron
- Publisher
- Packt Publishing
- Year
- 2013
- Tongue
- English
- Leaves
- 110
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Subjects
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Contents......Page 2<br>--- Core Language......Page 7<br>Introduction......Page 8<br>Why Python?......Page 9<br>Why Another Tutorial?......Page 10<br>Getting Python......Page 11<br>Conventions Used in this Book......Page 12<br>How is Python Different......Page 13<br>Comparison of Programming Languag
<p>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 pra
Cython can yield massive performance improvements over pure Python--speedups of 3000X are easily attainable for certain patterns. With this book, Kurt Smith shows you how to use Cython to easily wrap C and C++ libraries in Python, handling all the details of memory management for you. By removing th