Python Programming: The complete guide to learn Python with practical exercises and samples. Includes Python for Beginners and Python Advanced Programming.
By 作者: Kevin Lioy
ISBN-10 书号: 1704442257
ISBN-13 书号: 9781704442259
Release Finelybook 出版日期: 2019-11-01
pages 页数: (272 )
Book Description to Finelybook sorting
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 Advanced 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…
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
Chapter 1:Advanced Programming Techniques
Further Procedural Programming
Branching Using Dictionaries
Generator Expressions and Functions
Chapter 2:Dynamic Code Execution
Dynamic Code Execution
Dynamically Importing Modules
Function and Method Decorators
Chapter 3:Further Object-Oriented Programming
Controlling Attribute Access
Abstract Base Classes
Chapter 4:Functional-Style Programming
Partial Function Application
Performing Independent Actions on Data
Chapter 5:DEBUGGING,TESTING AND PROFILING
Dealing with Syntax Errors
Dealing with Runtime Errors
Chapter 7:Processes and Threading
Using the Multiprocessing Module