You're reading from Python: Journey from Novice to Expert Journey from Novice to Expert

Product type Course

Published in Aug 2016

Publisher Packt

ISBN-13 9781787120761

Length 1311 pages

Edition 1st Edition

Languages

Python

Concepts

Programming Language

Authors (3):

Fabrizio Romano

Dusty Phillips

Rick Hattem

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Table of Contents (6) Chapters

Preface

What this learning path covers
What you need for this learning path
Who this learning path is for
Reader feedback
Customer support

1. Module 1 FREE CHAPTER

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. 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. 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

A. Bibliography

Index

Who this learning path is for

This course is meant for programmes who wants learn Python programming from a basic to an expert level. The course is mostly self-contained and introduces Python Programming to a new reader and can help him become an expert in this trade. Intended for students and practitioners from novice to experts.

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You're reading from Python: Journey from Novice to Expert Journey from Novice to Expert

Table of Contents (6) Chapters

Who this learning path is for

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Authors (3)

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