Build Three Real-World Python Applications

Learn how to build Python applications to solve real-world programming problems.

Introduction

• Real-world Python applications
• What you should know
• GitHub Codespaces

1. Scraping the Wisdom Pet Medicine Website

• What is web scraping?
• Introducing the Wisdom Pet Medicine website
• How to explore a webpage
• Understanding HTML code
• Understanding the requests package
• How to use the get() method
• How to retrieve webpage information
• How to retrieve HTML code
• How to use BeautifulSoup
• How to use find() and find_all() methods
• How to loop find_all() methods
• How to retrieve webpage links
• How to write HTML code to a text file

2. Exploring Alpha Vantage API

• What are APIs?
• Introducing Alpha Vantage API
• How to access Alpha Vantage data
• How to use an API key
• How to pull stock data with the alpha_vantage package: Part 1
• How to pull stock data with the alpha_vantage package: Part 2
• How to pull stock data with the requests package
• How to put stock data into a DataFrame
• How to use Alpha Vantage functions: Part 1
• How to use Alpha Vantage functions: Part 2
• How to use Alpha Vantage functions: Part 3
• Challenge: Analyze Microsoft stock
• Solution: Analyze Microsoft stock

3. Text Analysis on Great Expectations Novel

• What is text analysis?
• Introducing Project Gutenberg and "Great Expectations"
• How to pull text data
• How to clean text data
• How to create a word cloud
• How to improve a word cloud
• How to analyze word frequency
• How to perform Vader sentiment analysis
• How to build a corpus and dictionary for topic modeling
• How to perform topic modeling
• Challenge: Analyze "Sense and Sensibility"
• Solution: Analyze "Sense and Sensibility"

Conclusion

• Next steps