Python for Programmers

Paperback
October 2022
9781683928171
More details
  • Publisher
    Mercury Learning and Information
  • Published
    31st October
  • ISBN 9781683928171
  • Language English
  • Pages 276 pp.
  • Size 7" x 9"
$49.95
E-Book

E-books are now distributed via RedShelf or VitalSource

You will choose the vendor in the cart as part of the check out process. These vendors offer a more seamless way to access the ebook, and add some great new features including text-to-voice. You own your ebook for life, it is simply hosted on the vendors website, working much like Kindle and Nook. Click here to see more detailed information on this process.

August 2022
9781683928157
More details
  • Publisher
    Mercury Learning and Information
  • Published
    23rd August
  • ISBN 9781683928157
  • Language English
  • Pages 276 pp.
  • Size 7" x 9"
$44.95
Lib E-Book

Library E-Books

We are signed up with aggregators who resell networkable e-book editions of our titles to academic libraries. These editions, priced at par with simultaneous hardcover editions of our titles, are not available direct from Stylus.

These aggregators offer a variety of plans to libraries, such as simultaneous access by multiple library patrons, and access to portions of titles at a fraction of list price under what is commonly referred to as a "patron-driven demand" model.

August 2022
9781683928164
More details
  • Publisher
    Mercury Learning and Information
  • Published
    23rd August
  • ISBN 9781683928164
  • Language English
  • Pages 276 pp.
  • Size 7" x 9"
$119.95

This book is intended primarily for developers who have little or no experience with Python or Pandas. It contains a fast-paced introduction to Python and Python-based solutions to various tasks. Chapter 1 provides a quick tour of basic Python 3, followed by a chapter that shows how to work with loops and conditional logic in Python. Chapter 3 discusses data structures in Python, followed by a chapter that features code samples for tasks with strings and arrays in Python. Chapter 5 contains concepts in object-oriented programming, along with code samples that illustrate how they are implemented in Python. Chapter 6 introduces recursion and some fundamental topics in combinatorics. Finally, the appendix provides an introduction to Pandas. Companion files with code and figures are available for downloading from the publisher.

Features:

  • Provides the reader with basic Python 3 and Pandas programming concepts
  • Companion files with code and figures

1: Introduction to Python
2: Conditional Logic in Python
3: Data Structures in Python
4: Strings and Arrays
5: Built-In Functions and Custom Classes
6: Recursion and Combinatorics
Appendix: Introduction to Pandas
Index

Oswald Campesato

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Python; Pandas; programming; recursion; combinatorics; Computer Science