Udemy - Trending Stocks with Python, Reddit, Twitter, and ChatGPT

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.1 GB
  • Uploaded Byfreecoursewb
  • Downloads73
  • Last checkedJul. 28th '23
  • Date uploadedJul. 27th '23
  • Seeders 8
  • Leechers22

Infohash : C9374C9A278CF926D2FD6F97D1A9AB499C0BA0EC

Trending Stocks with Python, Reddit, Twitter, and ChatGPT



https://DevCourseWeb.com

Published 7/2023
Created by Steve Avon
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 19 Lectures ( 3h 45m ) | Size: 1.2 GB

Learn how to use Python, PRAW, the Twitter API, and the OpenAI API to unlock insights on trending stocks.

What you'll learn
Learn how to use Python and PRAW to collect and analyze data from Reddit posts
Explore the power of the Twitter API to gather real-time data on trending stocks
Discover how to leverage the power of ChatGPT to summarize large volumes of comments and extract valuable insights on trending stocks.
Develop practical skills in logging and debugging code, and learn how to store logs in AWS S3 to ensure smooth operation and ease of use
Learn how to set up an automated email system with email templates in Python

Requirements
Some development experience, but it doesn't necessarily have to be Python experience.
An OpenAI API Key

Files:

[ DevCourseWeb.com ] Udemy - Trending Stocks with Python, Reddit, Twitter, and ChatGPT
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (50.3 MB)
    • 2. Project Overview.mp4 (6.8 MB)
    • 3. Project Setup and Logging.mp4 (82.6 MB)
    • GPTNewsletter
      • DS_Store (6.0 KB)
      • config.py (1.6 KB)
      • email_template.html (0.9 KB)
      • main.py (4.9 KB)
      • reddit.py (3.6 KB)
      • send_email.py (1.6 KB)
      • twitter.py (2.9 KB)
      • utils.py (2.1 KB)
      __MACOSX GPTNewsletter
      • _.DS_Store (0.1 KB)
      • _GPTNewsletter (0.2 KB)
      • 2. Collecting and analyzing data from Reddit
        • 1. Creating a Reddit App.mp4 (46.6 MB)
        • 1.1 RedditLinks.pdf (29.7 KB)
        • 2. Getting Submissions and Comments.mp4 (121.7 MB)
        • 3. Finding Stock Tickers on Reddit Part 1.mp4 (247.0 MB)
        • 3.1 RedditCode.txt (1.5 KB)
        • 4. Finding Stock Tickers on Reddit Part 2.mp4 (190.0 MB)
        3. Collecting and analyzing data from Twitter
        • 1. Creating a Twitter App.mp4 (76.7 MB)
        • 2. Finding Stock Tickers on Twitter Part 1.mp4 (118.8 MB)
        • 3. Finding Stock Tickers on Twitter Part 2.mp4 (204.2 MB)
        • 4. Removing Duplicate Tweets From List.mp4 (27.1 MB)
        4. Combining Reddit and Twitter Results
        • 1. Combining Reddit and Twitter Lists.mp4 (198.2 MB)
        • 2. Validating Tickers.mp4 (100.6 MB)
        5. Using ChatGPT to Generate Summaries
        • 1. Creating an OpenAI Account and Making a Completion Request.mp4 (89.2 MB)
        • 2. Getting Stock Comment Summaries.mp4 (124.5 MB)
        6. Automating Email Notifications
        • 1. Using an Email Template.mp4 (161.1 MB)
        • 1.1 email_template.html (0.9 KB)
        • 2. Sending the Email with SMTP.mp4 (115.6 MB)
        7. Uploading logs to AWS S3
        • 1. Uploading logs to AWS S3.mp4 (141.9 MB)
        8. Conclusion
        • 1. Thank You All!.mp4 (22.4 MB)
        • Bonus Resources.txt (0.4 KB)

Code:

  • udp://tracker.torrent.eu.org:451/announce
  • udp://tracker.tiny-vps.com:6969/announce
  • http://tracker.foreverpirates.co:80/announce
  • udp://tracker.cyberia.is:6969/announce
  • udp://exodus.desync.com:6969/announce
  • udp://explodie.org:6969/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://9.rarbg.to:2780/announce
  • udp://tracker.internetwarriors.net:1337/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://open.stealth.si:80/announce
  • udp://9.rarbg.to:2900/announce
  • udp://9.rarbg.me:2720/announce
  • udp://opentor.org:2710/announce