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The Python Workshop Second Edition - Second Edition

You're reading from  The Python Workshop Second Edition - Second Edition

Product type Book
Published in Nov 2022
Publisher Packt
ISBN-13 9781804610619
Pages 600 pages
Edition 2nd Edition
Languages
Authors (5):
Corey Wade Corey Wade
Profile icon Corey Wade
Mario Corchero Jiménez Mario Corchero Jiménez
Profile icon Mario Corchero Jiménez
Andrew Bird Andrew Bird
Profile icon Andrew Bird
Dr. Lau Cher Han Dr. Lau Cher Han
Profile icon Dr. Lau Cher Han
Graham Lee Graham Lee
Profile icon Graham Lee
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 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 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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