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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

Working with big data

Now that you have been introduced to NumPy and pandas, you will use them to analyze real data of a much larger size. The phrase big data does not have an unambiguous meaning. Generally speaking, you can think of big data as data that is far too large to analyze by sight. It could contain tens of thousands, millions, billions, trillions, or even more rows of data.

Data scientists analyze data that exists in the cloud or online. One strategy to analyze real data is to download the data directly to your computer.

Note

It is recommended to create a new folder called Data to store all of the data that you will download for analysis. You can open your Jupyter Notebook in this same folder.

Downloading data

Data comes in many formats, and pandas is equipped to handle most of them. In general, when looking for data to analyze, it’s worth searching for the keyword “dataset.” A dataset is a collection of raw data that has been stored for...

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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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