Python: Pocket Primer

by Oswald Campesato

Overview

As part of the new Pocket Primer series, this book provides an overview of the major aspects and the source code to use Python 2. It covers the latest Python developments, built-in functions and custom classes, data visualization, graphics, databases, and more. It includes a companion disc with appendices, source code, and figures. This Pocket Primer is primarily for self-directed learners who want to learn Python 2 and it serves as a starting point for deeper exploration of Python programming.

Features:
+Includes a companion disc with appendices, source code, and figures
+Contains material devoted to Raspberry Pi, Roomba, JSON, and Jython
+Includes latest Python 2 developments, built-in functions and custom classes, data visualization, graphics, databases, and more
+Provides a solid introduction to Python 2 via complete code samples

On the CD-ROM:
+Appendices (HTML5 and JavaScript Toolkits, Jython, SPA)
+Source code samples
+All images from the text (including 4-color)
+Solutions to Odd-Numbered Exercises

Product Details

ISBN-13:	9781937585495
Publisher:	Mercury Learning & Information
Publication date:	12/15/2012
Series:	Pocket Primer
Sold by:	Barnes & Noble
Format:	eBook
Pages:	200
File size:	32 MB
Note:	This product may take a few minutes to download.

About the Author

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

Table of Contents

1) Introduction to Python
2) Conditional Logic/Loops
3) Lists and Dictionaries
4) Regular Expressions
5) Working with Files
6) JSON and XML
7) Graphics and Data Visualization
8) Custom Classes in Python
9) Miscellaneous Topics
10) Introduction to Jython
Appendices: (HTML5 and JavaScript Toolkits, Jython, SPA).

Editorial Reviews

Primarily for self-learners, Campesato explains the basics of the Python software. Readers will have an easier time the more background they have with other scripting languages and other programming languages, he says. He covers conditional logic, loops, and functions; Python collections; regular expressions; files and streams; working with JSON and XML; data visualization and graphics; built-in functions and custom classics; Python and databases; and miscellaneous topics

There are three good primers in Python. The classic Learning Python by Mark Lutz, Zed Shaw's opinionated set of learning exercises, and for the complete novice, Think in Python. While all three are good reads, they all have specific limitations. Lutz's book is 1600 pages(!), Shaw's book teaches by assigning numerous small projects, and the Think volume is truly aimed at non-programmers. The Python Pocket Primer fills the yawning need for a concise guide written for programmers who need to get up to speed quickly on the language. It is supremely hands-on and wastes little time on non-essentials: From the opening chapter on setting up an environment, it speeds along with topic after topic explained clearly with supporting code and examples from the REPL. By page 60, you're into Python collections; by page 100, you've covered file handling; by page 140, you've worked with JSON. The remaining 50 pages cover more-involved topics such as working with databases and even some minimal concurrency.

The only missing topic is the set of considerations around building large projects in Python. Given that this book is a primer, though, this omission seems entirely reasonable.

Unlike other books that teach languages via the code snippets and REPL/console listings, this book seems to get the balance between explanation and demo exactly right. As a result, you can cruise along and quickly get to the point of using Python ably. The good explanations and the care with which they build successively on each other mean that it's comparatively easy to retain just-learned material as you push forward into new topics.

In sum, I think this unassuming little book is one of the fastest ways of getting up-to-speed in Python...(I)t's truly a bargain.

Primarily for self-directed learners who want to learn Python, this book and DVD serves as a starting point for deeper exploration of Python programming. Includes source code and tutorial videos; provides a solid introduction to Python via complete code samples; contains a chapter devoted to Jython; and includes latest Python developments.

From the Publisher