Python Programming: The complete guide to learn Python with practical exercises and samples. Includes Python for Beginners and Python Advanced Programming.

Lioy, Kevin

ISBN 10: 1704442257 / ISBN 13: 9781704442259

Published by Independently published, 2019

About this Item

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Bibliographic Details

• Title: Python Programming: The complete guide to learn Python with practical exercises and samples. Includes Python for Beginners and Python Advanced Programming.
• Publisher: Independently published
• Publication Date: 2019
• Language: English
• ISBN 10: 1704442257
• ISBN 13: 9781704442259
• Binding: Paperback
• Condition: Used; Very Good

About this title

Synopsis

If you want to learn the most modern programming language in the world, then keep reading.

Pyhton is an high-level programming language. It's a modern language, easy to learn and understand but very powerful.

It's a versatile programming language that is now being used on a lot of different projects, from World-class Internet companies to small hobbyists, Python is extremely flexible and can be useful in a lot of different fields.

With Python, you can develop apps, games and any kind of software.

In fact, Python is one of the highest-demand skill for professional developers.

Python Programming approaches this programming language in a very practical method to make sure you can learn everything you need to start working with Python as soon as possible and to handle advanced feature of this unique language.

You will learn...

▸ Why Python is a great language to start programming
▸ How to set-up the environment on your computer
▸ The logic behind programming
▸ Pyhton basic keywords and how to use them
▸ How to control the flow of your software
▸ How to handle files and user input
▸ Different data types - and how to use them all
▸ How to create new functions and use pre-built ones to speed up your coding
▸ Advanced procedural programming techniques
▸ What is Dynamic Code Execution
▸ Advanced OOP functions most developers are not aware of
▸ Functional-style programming with Python
▸ How to debug, test and profile your software
▸ How to handle multiple processes
▸ The best techniques to spread the workload on different threads