This is a user-friendly Hangman game. I was working on it for three weeks.https://repl.it/@BYLDOG/hangman
#Iron Horse Middle School
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 almost done and the rest of the website is in development. Go on the link below to see the website in development.
This is 𝓛𝓲𝓷𝓮𝓪𝓻 𝓡𝓮𝓰𝓻𝓮𝓼𝓼𝓲𝓸𝓷 𝓤𝓼𝓲𝓷𝓰 𝓖𝓻𝓪𝓭𝓲𝓮𝓷𝓽 𝓓𝓮𝓬𝓮𝓷𝓽 optimized to 50 milliseconds (average of 12).
𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: Create a program that simulates a graphing calculator with numerical, graphical, and simple algebraic functions. Submit your result's to Nexclap with the post tag 𝗴𝗿𝗮𝗽𝗵𝗶𝗻𝗴𝗰𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗼𝗿𝗰𝗵𝗮𝗹𝗹𝗮𝗻𝗴𝗲. Be sure to include instructions on what platform and/or language the program is in. I will periodically update the state of the challenge and will post the final results on Nexclap on 𝟖/𝟖/𝟐𝟎𝟏𝟗. 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐫𝐮𝐥𝐞𝐬: 𝗡𝗼 𝗕𝘂𝗶𝗹𝘁-𝗶𝗻 𝗽𝗮𝗰𝗸𝗮𝗴𝗲𝘀 𝗮𝗹𝗹𝗼𝘄𝗲𝗱! The program must have an arithmetic function and must include these mathematical functions: Sine: (Such as: sin(3)) Cosine: (Such as: cos(4)) Tangent: (Such as tan(89)) Square root: (Such as √4) Nth root: (Such as ∛8) Square of x: (Such as x²) Nth exponent of x: (Such as x³) Order of operations: (Must obey order of operations) Parenthetical support: (Such as: (1+3)/2) Graphing equations: (Such as: x³ + 2x² - 1 or y = √x) 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐭𝐢𝐩𝐬: A good model for your graphing calculator would be the ti-83 graphing calculator by Texas Instruments. 𝑭𝒆𝒆𝒍 𝒇𝒓𝒆𝒆 𝒕𝒐 𝒑𝒐𝒔𝒕 𝒚𝒐𝒖𝒓 𝒒𝒖𝒆𝒔𝒕𝒊𝒐𝒏𝒔 𝒐𝒏 𝒕𝒉𝒊𝒔 𝒄𝒉𝒂𝒍𝒍𝒆𝒏𝒈𝒆 𝒊𝒏 𝒕𝒉𝒆 𝒄𝒐𝒎𝒎𝒆𝒏𝒕𝒔! 𝓑𝓮𝓼𝓽 𝓞𝓯 𝓛𝓾𝓬𝓴! - ค๔ค๓ PRIZE MONEY! 0 dollars! It's a free challange! You really expect me to give you prize money!!!
This is K Means Clustering in infinite dimensions finally complete! K Means Clustering follows under the category of clustering (hence the name). Clustering falls under another subset of machine learning called unsupervised machine learning, which is doing machine learning on datasets without labels. I have provided a 2d dataset and a 4d dataset to test my model. Both of which worked. Sometimes you will get a Zero Division Error, if that occurs, just run the code until it works. To learn more about K Means Clustering, go to the following tutorial: https://www.youtube.com/watch?v=4b5d3muPQmA&t=296s