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Python for Programmers by Oswald Campesato at Abbey's Bookshop,
Python for Programmers
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Oswald Campesato

Python for Programmers

Oswald Campesato

$89.99

Paperback

Not in-store but you can order this
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English
Mercury Learning & Information
30 September 2022
Web programming; Programming & scripting languages: general; Data mining
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
By:  
Imprint:   Mercury Learning & Information
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 178mm, 
Weight:   499g
ISBN:   9781683928171
ISBN 10:   1683928172
Pages:   276
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
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

Campesato Oswald : 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).

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