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Python For Programmers

Python For Programmers

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Python For Programmers

Python For Programmers

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Python

Software Development

Developer Tools

Author

Oswald Campesato

Publication

Mercury Learning and Information

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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

Table of Contents
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.

About the Author
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, 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).

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9781683928171

Publisher

Mercury Learning and Information

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39.21

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Oswald Campesato

Oswald Campesato

Oswald is an education junkie: a former PhD Candidate in Mathematics (ABD) who has multiple MS and B ...

About the Author

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). --This text refers to the paperback edition.

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