Learn how to build Python applications to solve real-world programming problems.
Overview
Syllabus
Introduction
- Real-world Python applications
- What you should know
- GitHub Codespaces
- 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
- 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
- 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"
- Next steps
Taught by
Megan Silvey
