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Paperback
June 2014
9781938549854
More details
- Publisher
Mercury Learning and Information - Published
1st June 2014 - ISBN 9781938549854
- Language English
- Pages 200 pp.
- Size 6" x 9"
$29.95
Lib E-Book
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June 2014
9781683923077
More details
- Publisher
Mercury Learning and Information - Published
1st June 2014 - ISBN 9781683923077
- Language English
- Pages 200 pp.
- Size 6" x 9"
$74.95
E-Book
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December 2012
9781937585495
More details
- Publisher
Mercury Learning and Information - Published
15th December 2012 - ISBN 9781937585495
- Language English
- Pages 200 pp.
- Size 6" x 9"
$29.95
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
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).
Oswald Campesato
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).