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[ FreeCourseWeb com ] Linkedin - Build Three Real-World Python Applications
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01 - Introduction
01 - Real-world Python applications.mp4
01 - Real-world Python applications.srt
02 - What you should know.mp4
02 - What you should know.srt
03 - GitHub Codespaces.mp4
03 - GitHub Codespaces.srt
02 - 1. Scraping the Wisdom Pet Medicine Website
01 - What is web scraping.mp4
01 - What is web scraping.srt
02 - Introducing the Wisdom Pet Medicine website.mp4
02 - Introducing the Wisdom Pet Medicine website.srt
03 - How to explore a webpage.mp4
03 - How to explore a webpage.srt
04 - Understanding HTML code.mp4
04 - Understanding HTML code.srt
05 - Understanding the requests package.mp4
05 - Understanding the requests package.srt
06 - How to use the get() method.mp4
06 - How to use the get() method.srt
07 - How to retrieve webpage information.mp4
07 - How to retrieve webpage information.srt
08 - How to retrieve HTML code.mp4
08 - How to retrieve HTML code.srt
09 - How to use BeautifulSoup.mp4
09 - How to use BeautifulSoup.srt
10 - How to use find() and find_all() methods.mp4
10 - How to use find() and find_all() methods.srt
11 - How to loop find_all() methods.mp4
11 - How to loop find_all() methods.srt
12 - How to retrieve webpage links.mp4
12 - How to retrieve webpage links.srt
13 - How to write HTML code to a text file.mp4
13 - How to write HTML code to a text file.srt
03 - 2. Exploring Alpha Vantage API
01 - What are APIs.mp4
01 - What are APIs.srt
02 - Introducing Alpha Vantage API.mp4
02 - Introducing Alpha Vantage API.srt
03 - How to access Alpha Vantage data.mp4
03 - How to access Alpha Vantage data.srt
04 - How to use an API key.mp4
04 - How to use an API key.srt
05 - How to pull stock data with the alpha_vantage package Part 1.mp4
05 - How to pull stock data with the alpha_vantage package Part 1.srt
06 - How to pull stock data with the alpha_vantage package Part 2.mp4
06 - How to pull stock data with the alpha_vantage package Part 2.srt
07 - How to pull stock data with the requests package.mp4
07 - How to pull stock data with the requests package.srt
08 - How to put stock data into a DataFrame.mp4
08 - How to put stock data into a DataFrame.srt
09 - How to use Alpha Vantage functions Part 1.mp4
09 - How to use Alpha Vantage functions Part 1.srt
10 - How to use Alpha Vantage functions Part 2.mp4
10 - How to use Alpha Vantage functions Part 2.srt
11 - How to use Alpha Vantage functions Part 3.mp4
11 - How to use Alpha Vantage functions Part 3.srt
12 - Challenge Analyze Microsoft stock.mp4
12 - Challenge Analyze Microsoft stock.srt
13 - Solution Analyze Microsoft stock.mp4
13 - Solution Analyze Microsoft stock.srt
04 - 3. Text Analysis on Great Expectations Novel
01 - What is text analysis.mp4
01 - What is text analysis.srt
02 - Introducing Project Gutenberg and Great Expectations.mp4
02 - Introducing Project Gutenberg and Great Expectations.srt
03 - How to pull text data.mp4
03 - How to pull text data.srt
04 - How to clean text data.mp4
04 - How to clean text data.srt
05 - How to create a word cloud.mp4
05 - How to create a word cloud.srt
06 - How to improve a word cloud.mp4
06 - How to improve a word cloud.srt
07 - How to analyze word frequency.mp4
07 - How to analyze word frequency.srt
08 - How to perform Vader sentiment analysis.mp4
08 - How to perform Vader sentiment analysis.srt
09 - How to build a corpus and dictionary for topic modeling.mp4
09 - How to build a corpus and dictionary for topic modeling.srt
10 - How to perform topic modeling.mp4
10 - How to perform topic modeling.srt
11 - Challenge Analyze Sense and Sensibility.mp4
11 - Challenge Analyze Sense and Sensibility.srt
12 - Solution Analyze Sense and Sensibility.mp4
12 - Solution Analyze Sense and Sensibility.srt
05 - Conclusion
01 - Next steps.mp4
01 - Next steps.srt
Bonus Resources.txt
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