Linkedin - Build Three Real-World Python Applications

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Linkedin - Build Three Real-World Python Applications (Size: 334.5 MB)
  01 - Next steps.mp4 1.7 MB
  01 - Next steps.srt 1.1 KB
  01 - Real-world Python applications.mp4 2.2 MB
  01 - Real-world Python applications.srt 1 KB
  01 - What are APIs.mp4 4.1 MB
  01 - What are APIs.srt 4.1 KB
  01 - What is text analysis.mp4 3.2 MB
  01 - What is text analysis.srt 3.9 KB
  01 - What is web scraping.mp4 5.2 MB
  01 - What is web scraping.srt 5.2 KB
  02 - Introducing Alpha Vantage API.mp4 10.7 MB
  02 - Introducing Alpha Vantage API.srt 7.4 KB
  02 - Introducing Project Gutenberg and Great Expectations.mp4 5.2 MB
  02 - Introducing Project Gutenberg and Great Expectations.srt 3.6 KB
  02 - Introducing the Wisdom Pet Medicine website.mp4 6.5 MB
  02 - Introducing the Wisdom Pet Medicine website.srt 3.5 KB
  02 - What you should know.srt 1.2 KB
  03 - GitHub Codespaces.mp4 14.8 MB
  03 - GitHub Codespaces.srt 10.5 KB
  03 - How to access Alpha Vantage data.mp4 8.3 MB
  03 - How to access Alpha Vantage data.srt 6 KB
  03 - How to explore a webpage.mp4 11.3 MB
  03 - How to explore a webpage.srt 4.9 KB
  03 - How to pull text data.mp4 8 MB
  03 - How to pull text data.srt 5.5 KB
  04 - How to clean text data.mp4 15.8 MB
  04 - How to clean text data.srt 10 KB
  04 - How to use an API key.mp4 10 MB
  04 - How to use an API key.srt 8.3 KB
  04 - Understanding HTML code.mp4 7.1 MB
  04 - Understanding HTML code.srt 3.4 KB
  05 - How to create a word cloud.mp4 7.4 MB
  05 - How to create a word cloud.srt 6.3 KB
  05 - How to pull stock data with the alpha_vantage package Part 1.mp4 9.3 MB
  05 - How to pull stock data with the alpha_vantage package Part 1.srt 7.3 KB
  05 - Understanding the requests package.mp4 5.4 MB
  05 - Understanding the requests package.srt 5.3 KB
  06 - How to improve a word cloud.mp4 8.6 MB
  06 - How to improve a word cloud.srt 5.4 KB
  06 - How to pull stock data with the alpha_vantage package Part 2.mp4 4.5 MB
  06 - How to pull stock data with the alpha_vantage package Part 2.srt 3.3 KB
  06 - How to use the get() method.mp4 5.1 MB
  06 - How to use the get() method.srt 4.5 KB
  07 - How to analyze word frequency.mp4 8.6 MB
  07 - How to analyze word frequency.srt 7 KB
  07 - How to pull stock data with the requests package.mp4 14.6 MB
  07 - How to pull stock data with the requests package.srt 10 KB
  07 - How to retrieve webpage information.mp4 6.9 MB
  07 - How to retrieve webpage information.srt 6.7 KB
  08 - How to perform Vader sentiment analysis.mp4 16 MB
  08 - How to perform Vader sentiment analysis.srt 11.8 KB
  08 - How to put stock data into a DataFrame.mp4 14.1 MB
  08 - How to put stock data into a DataFrame.srt 9.1 KB
  08 - How to retrieve HTML code.mp4 5.9 MB
  08 - How to retrieve HTML code.srt 2.5 KB
  09 - How to build a corpus and dictionary for topic modeling.mp4 10.4 MB
  09 - How to build a corpus and dictionary for topic modeling.srt 7.5 KB
  09 - How to use Alpha Vantage functions Part 1.mp4 9.6 MB
  09 - How to use Alpha Vantage functions Part 1.srt 6.6 KB
  09 - How to use BeautifulSoup.mp4 6.1 MB
  09 - How to use BeautifulSoup.srt 3.9 KB
  10 - How to perform topic modeling.mp4 15.1 MB
  10 - How to perform topic modeling.srt 10.9 KB
  10 - How to use Alpha Vantage functions Part 2.mp4 7.2 MB
  10 - How to use Alpha Vantage functions Part 2.srt 5.3 KB
  10 - How to use find() and find_all() methods.mp4 6.8 MB
  10 - How to use find() and find_all() methods.srt 6.5 KB
  11 - Challenge Analyze Sense and Sensibility.mp4 5.9 MB
  11 - Challenge Analyze Sense and Sensibility.srt 5 KB
  11 - How to loop find_all() methods.mp4 7.1 MB
  11 - How to loop find_all() methods.srt 6.2 KB
  11 - How to use Alpha Vantage functions Part 3.mp4 14.3 MB
  11 - How to use Alpha Vantage functions Part 3.srt 10.3 KB
  12 - Challenge Analyze Microsoft stock.mp4 4.9 MB
  12 - Challenge Analyze Microsoft stock.srt 4.7 KB
  12 - How to retrieve webpage links.mp4 4.5 MB
  12 - How to retrieve webpage links.srt 3.9 KB
  12 - Solution Analyze Sense and Sensibility.mp4 11.3 MB
  12 - Solution Analyze Sense and Sensibility.srt 8.4 KB
  13 - How to write HTML code to a text file.mp4 4.3 MB
  13 - How to write HTML code to a text file.srt 3.8 KB
  13 - Solution Analyze Microsoft stock.mp4 5.3 MB
  13 - Solution Analyze Microsoft stock.srt 4.4 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 85 total files

Description


Build Three Real-World Python Applications
https://FreeCourseWeb.com

Released 6/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 27m | Size: 334 MB

Python skills are in high demand, and programmers who nstrate 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.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace.

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