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Python for Programmers
Paperback
October 2022
9781683928171
More details
- Publisher
Mercury Learning and Information - Published
31st October 2022 - ISBN 9781683928171
- Language English
- Pages 276 pp.
- Size 7" x 9"
$49.95
E-Book
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August 2022
9781683928157
More details
- Publisher
Mercury Learning and Information - Published
23rd August 2022 - ISBN 9781683928157
- Language English
- Pages 276 pp.
- Size 7" x 9"
$49.95
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August 2022
9781683928164
More details
- Publisher
Mercury Learning and Information - Published
23rd August 2022 - 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 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).
Python; Pandas; programming; recursion; combinatorics; Computer Science