Linkedin - Build Three Real-World Python Applications

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Files Included :

01 - Real-world Python applications.mp4 (2.23 MB)
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02 - What you should know.mp4 (1015.38 KB)
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03 - GitHub Codespaces.mp4 (14.8 MB)
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01 - What is web scraping.mp4 (5.22 MB)
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02 - Introducing the Wisdom Pet Medicine website.mp4 (6.53 MB)
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03 - How to explore a webpage.mp4 (11.29 MB)
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04 - Understanding HTML code.mp4 (7.07 MB)
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05 - Understanding the requests package.mp4 (5.39 MB)
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06 - How to use the get() method.mp4 (5.15 MB)
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07 - How to retrieve webpage information.mp4 (6.89 MB)
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08 - How to retrieve HTML code.mp4 (5.89 MB)
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09 - How to use BeautifulSoup.mp4 (6.14 MB)
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10 - How to use find() and find all() methods.mp4 (6.84 MB)
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11 - How to loop find all() methods.mp4 (7.1 MB)
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12 - How to retrieve webpage links.mp4 (4.49 MB)
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13 - How to write HTML code to a text file.mp4 (4.34 MB)
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01 - What are APIs.mp4 (4.07 MB)
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02 - Introducing Alpha Vantage API.mp4 (10.7 MB)
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03 - How to access Alpha Vantage data.mp4 (8.25 MB)
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04 - How to use an API key.mp4 (9.95 MB)
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05 - How to pull stock data with the alpha vantage package Part 1.mp4 (9.33 MB)
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06 - How to pull stock data with the alpha vantage package Part 2.mp4 (4.52 MB)
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07 - How to pull stock data with the requests package.mp4 (14.61 MB)
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08 - How to put stock data into a DataFrame.mp4 (14.08 MB)
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09 - How to use Alpha Vantage functions Part 1.mp4 (9.64 MB)
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10 - How to use Alpha Vantage functions Part 2.mp4 (7.16 MB)
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11 - How to use Alpha Vantage functions Part 3.mp4 (14.29 MB)
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12 - Challenge Analyze Microsoft stock.mp4 (4.86 MB)
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13 - Solution Analyze Microsoft stock.mp4 (5.26 MB)
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01 - What is text analysis.mp4 (3.23 MB)
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02 - Introducing Project Gutenberg and Great Expectations.mp4 (5.21 MB)
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03 - How to pull text data.mp4 (8.01 MB)
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04 - How to clean text data.mp4 (15.78 MB)
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05 - How to create a word cloud.mp4 (7.45 MB)
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06 - How to improve a word cloud.mp4 (8.57 MB)
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07 - How to analyze word frequency.mp4 (8.6 MB)
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08 - How to perform Vader sentiment analysis.mp4 (16.04 MB)
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09 - How to build a corpus and dictionary for topic modeling.mp4 (10.37 MB)
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10 - How to perform topic modeling.mp4 (15.05 MB)
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11 - Challenge Analyze Sense and Sensibility.mp4 (5.86 MB)
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12 - Solution Analyze Sense and Sensibility.mp4 (11.34 MB)
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01 - Next steps.mp4 (1.7 MB)
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