Python: Programming For Intermediates: Learn The Basics Of Python In 7 Days!
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About this ebook
Eager to learn Python Programming Quickly?
This book is the ultimate guide to python programming for intermediates. It will enable you to learn all that in as little as 7 days.
In this second edition of the tutorial, we will cover a range of topics that will help you understand and perform complex Python programming projects. My assumption is that you already know the basics of Python including downloading and installing important Python programs and working with the basic Python functions. Otherwise, you need to revisit the first edition to make sure you are ready to take on intermediate level programming.
Here's what we will talk about in this book:
✓ Shallow copy and deep copy
✓ Objects and classes in Python–including python inheritance, multiple inheritances, and so on
✓ Recursion in Python
✓ Debugging and testing
✓ Fibonacci sequence (definition) and Memoization in Python in Python
✓ Arguments in Python
✓ Namespaces in Python and Python Modules
✓ Simple Python projects for Intermediates
By reading this book, you will learn all that and much more. Let's begin.
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Book preview
Python - Maurice J. Thompson
Python Programming For Intermediates
––––––––
Learn The Basics of Python in 7 Days
Maurice J. Thompson
Introduction
I want to thank you and congratulate you for downloading the book, "Python Programming For Intermediates: Learn The Basics of Python in 7 Days".
This book is the ultimate guide to python programming for intermediates. It will enable you to learn all that in as little as 7 days.
Congratulations for making it to this level and welcome to the second edition of our Python programming in 7 days series. I hope you had fun with the beginner’s edition and are ready to learn some more!
In case you have forgotten, Python is the best programming language for learners or established programmers not only because of its convenience and ease of use, but also because it makes coding so attractive and fun.
In this second edition of the tutorial, we will cover a range of topics that will help you understand and perform complex Python programming projects. My assumption is that you already know the basics of Python including downloading and installing important Python programs and working with the basic Python functions. Otherwise, you need to revisit the first edition to make sure you are ready to take on intermediate level programming.
Let us start by mentioning what we covered in the first edition of this series:
✓ Downloading and installing Python on major operating systems
✓ How to interact with Python
✓ Writing your first program
✓ Methods and functions–including variables, strings, lists, tuples, and dictionaries
✓ Loops
✓ User defined functions
✓ Beginner level Python projects
In this book, we will talk about the following:
✓ Shallow copy and deep copy
✓ Objects and classes in Python–including python inheritance, multiple inheritance, and so on
✓ Recursion in Python
✓ Debugging and testing
✓ Fibonacci sequence (definition) and Memoization in Python in Python
✓ Arguments in Python
✓ Namespaces in Python and Python Modules
✓ Simple Python projects for Intermediates
By reading this book, you will learn all that and much more. Let’s begin.
Thanks again for downloading this book. I hope you enjoy it!
––––––––
Download the Audiobook version of this book by clicking here:
https://itunes.apple.com/us/audiobook/python-programming-your-intermediate-guide-to-learn/id1448033975
© Copyright 2018 by Maurice J. Thompson - All rights reserved.
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- From a Declaration of Principles which was accepted and approved equally by a Committee of the American Bar Association and a Committee of Publishers and Associations.
In no way is it legal to reproduce, duplicate, or transmit any part of this document in either electronic means or in printed format. Recording of this publication is strictly prohibited and any storage of this document is not allowed unless with written permission from the publisher. All rights reserved.
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Respective authors own all copyrights not held by the publisher.
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Table of Contents
Introduction
Shallow Copy, Deep Copy
Using the Slice Operator
Using The Module’s Copydeep Copy Method
Recursion in Python (Recursive Functions)
Meaning of Recursion
Applications of Recursion
Classes and Objects: Understanding their Meaning
Defining a Class
Constructors
Deleting Attributes and Objects
Inheritance in Python
Parent Classes
Child Classes
Overriding Parent Methods
The Function ‘Super()’
Multiple Inheritance
Operator Overloading
Python’s Special Functions
Overloading the Operator ‘+’ In Python
Overloading Python’s Comparison Operators
Breather: Debugging and Testing
The Fibonacci sequence
Memoization in Python
The Fibonacci Square
Manual Memoization (Memoization by Hand)
Manual Memoization: Objects
Manual Memoization: Using ‘Global’
Decorators
Arguments in Python
Variable Function Arguments
Best Practice for Python Function Arguments
Things You Need To Remember About Arguments
Specifying Dynamic Default Arguments using ‘none’ and Docstrings
Enforcing Clarity with Keyword-Only Arguments
Python 2’s Keyword-Only Arguments
Namespaces in Python
Meaning of Namespaces
Scope
Scope Resolution
Python Modules
Importing a Module
Built In Python Modules
Simple Python projects for Intermediates
1: Scrabble Challenge
2: ‘Where Is the Space Station’ Project
3: Creating a simple Keylogger
Conclusion
To start us off today, we will first talk about shallow and deep copy.
Shallow Copy, Deep Copy
From what you already know about Data Types and Variables, you know that Python is different from most other programming languages especially during the copying and assigning of simple data types such as strings and integers.