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Learn Python Programming

You're reading from   Learn Python Programming The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788996662
Length 508 pages
Edition 2nd Edition
Languages
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Author (1):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Table of Contents (16) Chapters Close

Preface 1. A Gentle Introduction to Python FREE CHAPTER 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. OOP, Decorators, and Iterators 7. Files and Data Persistence 8. Testing, Profiling, and Dealing with Exceptions 9. Cryptography and Tokens 10. Concurrent Execution 11. Debugging and Troubleshooting 12. GUIs and Scripts 13. Data Science 14. Web Development 15. Other Books You May Enjoy

First approach – scripting

Now, let's start writing the script. I'll go through the source in three steps: imports, arguments parsing, and business logic.

The imports

Here's how the script starts:

# scrape.py
import argparse
import base64
import json
import os
from bs4 import BeautifulSoup
import requests

Going through them from the top, you can see that we'll need to parse the arguments, which we'll feed to the script itself (argparse). We will need the base64 library to save the images within a JSON file (json), and we'll need to open files for writing (os). Finally, we'll need BeautifulSoup for scraping the web page easily, and requests to fetch its content. I assume you're familiar...

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