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The Python Workshop Second Edition

You're reading from The Python Workshop Second Edition Write Python code to solve challenging real-world problems

Product type Paperback

Published in Nov 2022

Publisher Packt

ISBN-13 9781804610619

Length 600 pages

Edition 2nd Edition

Languages

Python

Concepts

Programming Language

Authors (5):

Mario Corchero Jiménez

Andrew Bird

Corey Wade

Graham Lee

Dr. Lau Cher Han

+1 more

View More author details

Table of Contents (16) Chapters

Preface

1. Chapter 1: Python Fundamentals – Math, Strings, Conditionals, and Loops

2. Chapter 2: Python Data Structures FREE CHAPTER

3. Chapter 3: Executing Python – Programs, Algorithms, and Functions

4. Chapter 4: Extending Python, Files, Errors, and Graphs

5. Chapter 5: Constructing Python – Classes and Methods

6. Chapter 6: The Standard Library

7. Chapter 7: Becoming Pythonic

8. Chapter 8: Software Development

9. Chapter 9: Practical Python – Advanced Topics

10. Chapter 10: Data Analytics with pandas and NumPy

11. Chapter 11: Machine Learning

12. Chapter 12: Deep Learning with Python

13. Chapter 13: The Evolution of Python – Discovering New Python Features

14. Index

Why subscribe?

15. Other Books You May Enjoy

Technical requirements

You can find the code files for this chapter on GitHub at https://github.com/PacktPublishing/The-Python-Workshop-Second-Edition/tree/main/Chapter12, and within the following Colab notebook: https://colab.research.google.com/drive/14FUXbsuRvz3jO6bzAm1Mgas6faJ0G61-?usp=sharing.

The technical requirements are different for Colab notebooks and Jupyter Notebook. You will need to install Keras and TensorFlow for Jupyter Notebook, whereas they are included with Colab notebooks in advance.

Colab notebooks

In this chapter, I recommend using an online version of Jupyter Notebook, called Colab notebooks (short for Google Colaboratory Notebooks) for the following reasons:

Colab notebooks allow you to use graphical processing units (GPUs), which will greatly speed up computations for high-demand processing. This is particularly beneficial for neural networks, which can be time-consuming when combining large datasets with deep networks. We will be using them...

The rest of the chapter is locked

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Authors (5)

Wade

Wade

Corey Wade, M.S. Mathematics, M.F.A. Writing & Consciousness, is the founder and director of Berkeley Coding Academy where he teaches Machine Learning and AI to teens from all over the world. Additionally, Corey chairs the Math Department at Berkeley Independent Study where he has received multiple grants to run after-school coding programs to help bridge the tech skills gap. Additional experiences include teaching Natural Language Processing with Hello World, developing Data Science curricula with Pathstream, and publishing statistics and machine learning models with Towards Data Science, Springboard, and Medium.

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Lee

Lee

Joanna Lee has more than 8 years of experience in game development. She has designed and programmed various video games. She first started working with Unreals game engine in 2005 and is very excited to be able to author a book about the newest Unreal Engine 4. She has also worked with many other engines as well as reviewed books and videos on Cry Engine 4.

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Dr. Lau Cher Han

Dr. Lau Cher Han

Dr Lau Cher Han is a Chief data scientist, and currently the CEO of LEAD, an institution that provides programs on data science, full stack web development, and digital marketing. Well-versed in programming languages: JavaScript, Python, C# and so on he is experienced in web frameworks: MEAN Stack, ASP.NET, Python Django and is multilingual, speaking English, Chinese, Bahasa fluently. His knowledge of Chinese spreads even into its dialects: Hokkien, Teochew, and Cantonese.

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Bird

Bird

Andrew Bird is the data and analytics manager of Vesparum Capital. He leads the software and data science teams at Vesparum, overseeing full-stack web development in Django/React. He is an Australian actuary (FIAA, CERA) who has previously worked with Deloitte Consulting in financial services. Andrew also currently works as a full-stack developer for Draftable Pvt. Ltd. He manages the ongoing development of the donation portal for the Effective Altruism Australia website on a voluntary basis. Andrew has also co-written one of our bestselling titles, "The Python Workshop".

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Mario Corchero Jiménez

Mario Corchero Jiménez

Mario Corchero Jiménez is a senior software developer at Bloomberg. He leads the Python infrastructure team in London, enabling the company to work effectively in Python and building company-wide libraries and tools. His professional experience is mainly in C++ and Python, and he has contributed some patches to multiple Python open source projects. He is a PSF fellow, having received the Q3 2018 PSF Community Award, is vice president of Python Espaa (the Python Spain association), and has served as Chair of PyLondinium, PyConES17, and PyCon Charlas at PyCon 2018. Mario is passionate about the Python community, open source, and inner source.

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