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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

Reading files

While databases such as MySQL and Postgres are popular and widely used in many web applications, a large amount of data is still stored and exchanged using text file formats. Popular formats such as comma-separated values (CSV), JavaScript Object Notation (JSON), and plain text are used to store information such as weather data, traffic data, and sensor readings. In the following exercise, you will learn how to read text from a file using Python.

Exercise 59 – reading a text file using Python

In this exercise, you will be downloading a sample data file from the internet and reading data as the output. Follow these steps:

  1. Open a new Jupyter notebook.
  2. Now, copy the entire text from https://packt.live/2MIHzhO, save it to a local folder as pg37431.txt, and remember where it is located.
  3. Upload the file to your Jupyter notebook by clicking on the Upload button in the top-right corner. Select the pg37431.txt file from your local folder, and then...
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