I accidentally forgot to include a filter for prices, here's the updated code.
This web scraper checks amazon links by URL every two minutes, and emails you when those products are available. There is a cooldown of 4 hours for products that have been found available and emailed to you, but this cooldown only affects the particular item and not all of the URLs. By the way these parameters are completely customizable (you can have your wait time be 5 minutes, your cooldown be infinite, etc.) I made this scraper to help people out with panic buying and the lowered availability of basic items. In my original program, I made an email called firstname.lastname@example.org to carry out the emails. To set up an email with this program, here are the steps: 1. Create a new email (Recommended, but not required) 2. Enable two-factor authentication for your account (This is required for the next step) 3. Set up App Passwords for your account and create a new one for your computer. 4. Paste in the email address to the Email variable at the top, and paste the app password into the Password variable under that. 4.5. Search up "my user agent" on google and paste it into the user agent 5. Run python -m pip install bs4 6. Run python -m pip install requests 7. Run python -m pip install keyboard Also, I understand that the code isn't the most efficient, especially towards the end, though I was in a rush so don't judge me xD. Usage: python scraper.py email@example.com firstname.lastname@example.org email@example.com firstname.lastname@example.org
Unstable Spiral is a legacy project dedicated to Howard Blumenfeld, author of 𝘔𝘦𝘯𝘵𝘢𝘭 𝘈𝘳𝘤𝘩𝘪𝘵𝘦𝘤𝘵𝘶𝘳𝘦 and Mathematics professor at Laspositas college. Unstable Spiral was a website that he worked on in college and for his birthday I'm recreating it with modern taste. I'm using bootstrap for the styling and PHP for the back end. The websites homepage is done and I am currently working on database integration. This website is still in development.
This is the optimized code to find one optimized split.
Finally finished one split optimization.
The main purpose of this program is to do decision tree regression without using any machine learning libraries (Keras, Sklearn, etc.) I'm currently in the process of creating the regressor. I'm using a recursive function to act as the regressor for my task.