Download Linkedin - Build Three Real-World Python Applications torrent

Linkedin - Build Three Real-World Python Applications

Torrent:	Linkedin - Build Three Real-World Python Applications
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.
Downloads:	107
Category:	Other /Tutorials
Size:	334.5 MB
Show Files »	[ FreeCourseWeb.com ] Linkedin - Build Three Real-World Python Applications Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01 - Introduction 01 - Real-world Python applications.mp4 (2.2 MB) 01 - Real-world Python applications.srt (1.0 KB) 02 - What you should know.mp4 (1,015.4 KB) 02 - What you should know.srt (1.2 KB) 03 - GitHub Codespaces.mp4 (14.8 MB) 03 - GitHub Codespaces.srt (10.5 KB) 02 - 1. Scraping the Wisdom Pet Medicine Website 01 - What is web scraping.mp4 (5.2 MB) 01 - What is web scraping.srt (5.2 KB) 02 - Introducing the Wisdom Pet Medicine website.mp4 (6.5 MB) 02 - Introducing the Wisdom Pet Medicine website.srt (3.5 KB) 03 - How to explore a webpage.mp4 (11.3 MB) 03 - How to explore a webpage.srt (4.9 KB) 04 - Understanding HTML code.mp4 (7.1 MB) 04 - Understanding HTML code.srt (3.4 KB) 05 - Understanding the requests package.mp4 (5.4 MB) 05 - Understanding the requests package.srt (5.3 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 retrieve webpage information.mp4 (6.9 MB) 07 - How to retrieve webpage information.srt (6.7 KB) 08 - How to retrieve HTML code.mp4 (5.9 MB) 08 - How to retrieve HTML code.srt (2.5 KB) 09 - How to use BeautifulSoup.mp4 (6.1 MB) 09 - How to use BeautifulSoup.srt (3.9 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 - How to loop find_all() methods.mp4 (7.1 MB) 11 - How to loop find_all() methods.srt (6.2 KB) 12 - How to retrieve webpage links.mp4 (4.5 MB) 12 - How to retrieve webpage links.srt (3.9 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) 03 - 2. Exploring Alpha Vantage API 01 - What are APIs.mp4 (4.1 MB) 01 - What are APIs.srt (4.1 KB) 02 - Introducing Alpha Vantage API.mp4 (10.7 MB) 02 - Introducing Alpha Vantage API.srt (7.4 KB) 03 - How to access Alpha Vantage data.mp4 (8.3 MB) 03 - How to access Alpha Vantage data.srt (6.0 KB) 04 - How to use an API key.mp4 (10.0 MB) 04 - How to use an API key.srt (8.3 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) 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) 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 (10.0 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) 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) 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) 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) 13 - Solution Analyze Microsoft stock.mp4 (5.3 MB) 13 - Solution Analyze Microsoft stock.srt (4.4 KB) 04 - 3. Text Analysis on Great Expectations Novel 01 - What is text analysis.mp4 (3.2 MB) 01 - What is text analysis.srt (3.9 KB) 02 - Introducing Project Gutenberg and Great Expectations.mp4 (5.2 MB) 02 - Introducing Project Gutenberg and Great Expectations.srt (3.6 KB) 03 - How to pull text data.mp4 (8.0 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 (10.0 KB) 05 - How to create a word cloud.mp4 (7.4 MB) 05 - How to create a word cloud.srt (6.3 KB) 06 - How to improve a word cloud.mp4 (8.6 MB) 06 - How to improve a word cloud.srt (5.4 KB) 07 - How to analyze word frequency.mp4 (8.6 MB) 07 - How to analyze word frequency.srt (7.0 KB) 08 - How to perform Vader sentiment analysis.mp4 (16.0 MB) 08 - How to perform Vader sentiment analysis.srt (11.8 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) 10 - How to perform topic modeling.mp4 (15.1 MB) 10 - How to perform topic modeling.srt (10.9 KB) 11 - Challenge Analyze Sense and Sensibility.mp4 (5.9 MB) 11 - Challenge Analyze Sense and Sensibility.srt (5.0 KB) 12 - Solution Analyze Sense and Sensibility.mp4 (11.3 MB) 12 - Solution Analyze Sense and Sensibility.srt (8.4 KB) 05 - Conclusion 01 - Next steps.mp4 (1.7 MB) 01 - Next steps.srt (1.1 KB) Bonus Resources.txt (0.4 KB) files
Added:	2023-06-22 15:03:32
Language:	English
Peers:	Seeders : 14 , Leechers : 5
Release name:	Linkedin - Build Three Real-World Python Applications
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