Build Three Real-World Python Applications

Course details

Python skills are in high demand, and programmers who demonstrate real-world skill in building applications are highly sought after. In this course, Megan Silvey shows you how to take real-life programming problems and turn them into actionable results through building three different practical applications. These applications focus on working with popular Python topics: web scraping, web APIs, and text analysis. Check out this course to improve your skills and build applications that you can show off to potential employers.

Concepts

0. Introduction

01 - Real-world Python applications
02 - What you should know
03 - GitHub Codespaces

1. Scraping the Wisdom Pet Medicine Website

04 - What is web scraping
05 - Introducing the Wisdom Pet Medicine website
06 - How to explore a webpage
07 - Understanding HTML code
08 - Understanding the requests package
09 - How to use the get() method
10 - How to retrieve webpage information
11 - How to retrieve HTML code
12 - How to use BeautifulSoup
13 - How to use find() and find all() methods
14 - How to loop find all() methods
15 - How to retrieve webpage links
16 - How to write HTML code to a text file

2. Exploring Alpha Vantage API

17 - What are APIs
18 - Introducing Alpha Vantage API
19 - How to access Alpha Vantage data
20 - How to use an API key
21 - How to pull stock data with the alpha vantage package - Part 1
22 - How to pull stock data with the alpha vantage package - Part 2
23 - How to pull stock data with the requests package
24 - How to put stock data into a DataFrame
25 - How to use Alpha Vantage functions - Part 1
26 - How to use Alpha Vantage functions - Part 2
27 - How to use Alpha Vantage functions - Part 3
28 - Challenge - Analyze Microsoft stock
29 - Solution - Analyze Microsoft stock

3. Text Analysis on Great Expectations Novel

30 - What is text analysis
31 - Introducing Project Gutenberg and Great Expectations
32 - How to pull text data
33 - How to clean text data
34 - How to create a word cloud
35 - How to improve a word cloud
36 - How to analyze word frequency
37 - How to perform Vader sentiment analysis
38 - How to build a corpus and dictionary for topic modeling
39 - How to perform topic modeling
40 - Challenge - Analyze Sense and Sensibility
41 - Solution - Analyze Sense and Sensibility

Conclusion

42 - Next steps

Build Three Real-World Python Applications

Authors

Megan Silvey