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Secret Recipes of the Python Ninja

You're reading from   Secret Recipes of the Python Ninja Over 70 recipes that uncover powerful programming tactics in Python

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788294874
Length 380 pages
Edition 1st Edition
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Author (1):
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Cody Jackson Cody Jackson
Author Profile Icon Cody Jackson
Cody Jackson
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Table of Contents (11) Chapters Close

Preface 1. Working with Python Modules FREE CHAPTER 2. Utilizing the Python Interpreter 3. Working with Decorators 4. Using Python Collections 5. Generators, Coroutines, and Parallel Processing 6. Working with Python's Math Module 7. Improving Python Performance with PyPy 8. Python Enhancement Proposals 9. Documenting with LyX 10. Other Books You May Enjoy

What is PyPy?


PyPy is an alternative implementation of Python. While normal Python is built using the C language (hence the alternative term: CPython), PyPy is built on the RPython (Restricted Python) language . RPython constrains the Python language; these constraints mean that PyPy can look at the RPython code, translate it into C code, and then compile it to machine code.

The main aspects of PyPy is the just-in-time (JIT) compiler. Specifically, it uses a tracing JIT, which monitors frequently executed loops and compiles them into native machine code. Since programs frequently spend much of their time in loops, compiling those loops to native code maximizes the speed at which they process data.

Using RPython, the JIT compiler receives known code, that is, the compiler doesn't have to spend time parsing the metadata of the code to determine what type an object is, how much memory space is taken up, and so on. Thus, it is able to effectively convert the CPython code into C code and then to...

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