Book Image

Python Unlocked

By : Arun Tigeraniya
Book Image

Python Unlocked

By: Arun Tigeraniya

Overview of this book

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. Though Python is easy to learn, it’s range of features means there are many aspects of it that even experienced Python developers don’t know about. Even if you’re confident with the basics, its logic and syntax, by digging deeper you can work much more effectively with Python – and get more from the language. 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.
Table of Contents (15 chapters)
Python Unlocked
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Python built-in data structures


Key 1: Understanding Python's in-built data structure.

Before going in on how to use different data structures, we should take a look at the attributes of the object that are important for built-in data structures. For the default sorting to work, the object should have one of the __lt__, and __gt__ methods defined. Otherwise, we can pass a key function to the sorting method to use in getting the intermediate keys that are used to compare it, as shown in the following code:

def less_than(self, other):
    return self.data <= other.data


class MyDs(object):

    def __init__(self, data):
        self.data = data

    def __str__(self,):
        return str(self.data)
    __repr__ = __str__

if __name__ == '__main__':

    ml = [MyDs(i) for i in range(10, 1, -1)]
    try:
        ml.sort()
    except TypeError:
        print("unable to sort by default")

    for att in '__lt__', '__le__', '__gt__', '__ge__':
        setattr(MyDs, att, less_than)
        ml...