Book Image

Python: Journey from Novice to Expert

By : Fabrizio Romano, Dusty Phillips, Rick van Hattem
Book Image

Python: Journey from Novice to Expert

By: Fabrizio Romano, Dusty Phillips, Rick van Hattem

Overview of this book

Python is a dynamic and powerful programming language, having its application in a wide range of domains. It has an easy-to-use, simple syntax, and a powerful library, which includes hundreds of modules to provide routines for a wide range of applications, thus making it a popular language among programing enthusiasts.This course will take you on a journey from basic programming practices to high-end tools and techniques giving you an edge over your peers. It follows an interesting learning path, divided into three modules. As you complete each one, you’ll have gained key skills and get ready for the material in the next module.The first module will begin with exploring all the essentials of Python programming in an easy-to-understand way. This will lay a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring topics, like GUIs, web apps, and data science.In the second module you will learn about object oriented programming techniques in Python. Starting with a detailed analysis of object-oriented technique and design, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. This module fully explains classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on when you can use each principle to develop well-designed software.With a good foundation of Python you will move onto the third module which is a comprehensive tutorial covering advanced features of the Python language. Start by creating a project-specific environment using venv. This will introduce you to various Pythonic syntax and common pitfalls before moving onto functional features and advanced concepts, thereby gaining an expert level knowledge in programming and teaching how to script highest quality Python programs.

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Python: Journey from Novice to Expert
Fabrizio Romano | Dusty Phillips | Rick van Hattem
Aug, 2016 | 21 hours 51 minutes
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Table of Contents (6 chapters)
Preface
Preface
What this learning path covers
What you need for this learning path
Who this learning path is for
Reader feedback
Customer support
Free Chapter
1
1. Module 1
1. Module 1
1. Introduction and First Steps – Take a Deep Breath
2. Built-in Data Types
3. Iterating and Making Decisions
4. Functions, the Building Blocks of Code
5. Saving Time and Memory
6. Advanced Concepts – OOP, Decorators, and Iterators
7. Testing, Profiling, and Dealing with Exceptions
8. The Edges – GUIs and Scripts
9. Data Science
10. Web Development Done Right
11. Debugging and Troubleshooting
12. Summing Up – A Complete Example
2
2. Module 2
2. Module 2
1. Object-oriented Design
2. Objects in Python
3. When Objects Are Alike
4. Expecting the Unexpected
5. When to Use Object-oriented Programming
6. Python Data Structures
7. Python Object-oriented Shortcuts
8. Strings and Serialization
9. The Iterator Pattern
10. Python Design Patterns I
11. Python Design Patterns II
12. Testing Object-oriented Programs
13. Concurrency
3
3. Module 3
3. Module 3
1. Getting Started – One Environment per Project
2. Pythonic Syntax, Common Pitfalls, and Style Guide
3. Containers and Collections – Storing Data the Right Way
4. Functional Programming – Readability Versus Brevity
5. Decorators – Enabling Code Reuse by Decorating
6. Generators and Coroutines – Infinity, One Step at a Time
7. Async IO – Multithreading without Threads
8. Metaclasses – Making Classes (Not Instances) Smarter
9. Documentation – How to Use Sphinx and reStructuredText
10. Testing and Logging – Preparing for Bugs
11. Debugging – Solving the Bugs
12. Performance – Tracking and Reducing Your Memory and CPU Usage
13. Multiprocessing – When a Single CPU Core Is Not Enough
14. Extensions in C/C++, System Calls, and C/C++ Libraries
15. Packaging – Creating Your Own Libraries or Applications
4
A. Bibliography
A. Bibliography
5
Index
Index

Chapter 7. Async IO – Multithreading without Threads

The previous chapter showed us the basic implementation of synchronous coroutines. Whenever you are dealing with external resources, however, synchronous coroutines are a bad idea. Just a single stalling remote connection can cause your entire process to hang, unless you are using multiprocessing (explained in Chapter 13, Multiprocessing – When a Single CPU Core Is Not Enough) or asynchronous functions that is.

Asynchronous IO makes it possible to access external resources without having to worry about slowing down or stalling your application. Instead of actively waiting for results, the Python interpreter can simply continue with other tasks until it is needed again. This is very similar to the functioning of Node.js and AJAX calls in JavaScript. Within Python, we have seen libraries such as asyncore, gevent, and eventlet that have made this possible for years. With the introduction of the asyncio module, however...

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