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  • Book Overview & Buying The Python Workshop Second Edition
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The Python Workshop Second Edition

The Python Workshop Second Edition - Second Edition

By : Wade, Mario Corchero Jiménez , Bird, Dr. Lau Cher Han, Graham Lee
4.6 (19)
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The Python Workshop Second Edition

The Python Workshop Second Edition

4.6 (19)
By: Wade, Mario Corchero Jiménez , Bird, Dr. Lau Cher Han, Graham Lee

Overview of this book

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.
Table of Contents (16 chapters)
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13
Chapter 13: The Evolution of Python – Discovering New Python Features

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

== symbol 37

= symbol 37

|= operator 536

| union operator 536, 540

3D plots

generating 163-165

__init__ method 177

**kwargs

using 111, 112

__str__ method 186, 187

adding, to Country class 187, 188

** symbol 5

A

Adaptive Boosting (AdaBoost) 476

using, to predict median house values in Boston 478, 479

using, to predict pulsars 477, 478

ahead-of-time (AOT) compilation 367

Anaconda Prompt 348

and operator 35

append method 64

application programming interface (API) 326

area of triangle

finding 17, 18

argparse

program creating, to accept input from user 363, 364

arguments

keyword arguments 179

positional arguments 179

array

creating, to implement NumPy computations 391-397

assertion error

using, with...

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Tech Concepts
36
Programming languages
73
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The Python Workshop Second Edition
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