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

View More author details

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

Preface

Python is a dynamic programming language. It is known for its high readability and hence it is often the first language learned by new programmers. Python being multi-paradigm, it can be used to achieve the same thing in different ways and it is compatible across different platforms. Coding in Python minimizes development time and increases productivity in comparison to other languages. Clean, maintainable code is easy to both read and write using Python's clear, concise syntax.

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

Table of Contents (6) Chapters

Preface

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Authors (3)

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