English | Dec. 30, 2015 | ISBN: 1785885995 | 172 Pages | PDF (True) | 2.8 MB
With: Code Files
Python is a versatile programming language that can be used for a wide range of technical tasks computation, statistics, data analysis, game development, and more.

Key Features

Write smarter, bug-free, high performance code with minimal effort
Uncover the best tools and options available to Python developers today
Deploy decorators, design patters, and various optimization techniques to use Python 3.5 effectively

Book Description

Python Unlocked walks you through the most effective techniques and best practices for high performance Python programming - showing you how to make the most of the Python language. You'll get to know objects and functions inside and out, and will learn how to use them to your advantage in your programming projects. You will also find out how to work with a range of design patterns including abstract factory, singleton, strategy pattern, all of which will help make programming with Python much more efficient. Finally, as the process of writing a program is never complete without testing it, you will learn to test threaded applications and run parallel tests.

If you want the edge when it comes to Python, use this book to unlock the secrets of smarter Python programming.

What you will learn

Manipulate object creation processes for instances, classes, and functions
Use the best possible language constructs to write data structures with super speed and maintainability
Make efficient use of design patterns to decrease development time and make your code more maintainable
Write better test cases with an improved understanding of the testing framework of Python and unittests, and discover how to develop new functionalities in it
Write fully-optimized code with the Python language by profiling, compiling C modules, and more
Unlock asynchronous programming to build efficient and scalable applications

About the Author

Arun Tigeraniya has a BE in electronics and communication. After his graduation, he worked at various companies as a Python developer. His main professional interests are AI and Big Data. He enjoys writing efficient and testable code, and interesting technical articles. He has worked with open source technology since 2008. He currently works at Jaarvis Labs Limited, India.

Table of Contents

Objects in Depth
Namespaces and Classes
Functions and Utilities
Data Structures and Algorithms
Elegance with Design Patterns
Test-Driven Development
Optimization Techniques
Scaling Python
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