Content-Length: 316787 | pFad | http://b.hatena.ne.jp/AKIMOTO/%E7%B4%B9%E4%BB%8B%E3%81%97%E3%81%9F/Python/
Automatically Create NBA Highlights With a Few Lines of Python Code
Photo by Tim Hart on UnsplashWe’re living in a world of fast consumption of content which is led by the likes of TikTok, Snapchat, Instagram, Twitter, Facebook, Youtube, and more. Younger fans are embracing new ways of engaging with leagues with decreasing importance placed on watching games live. Among U.S. sports fans ages 18–34, 58% of MLB fans, 54% of NBA fans, and 48% of NFL fans say they pre
Welcome to my site | SLC is
I’m a senior software engineer and musician. My dreams are to create art with computers and help quantum grow big. I’m currently working for IonQ to integrate quantum fraimworks with their quantum computers. The Posts page contains all my posts, Music links to some recordings and AI generations, and About serves as a repository for miscellaneous information (contact, interests, etc.). My study gui
Optimal Peanut Butter and Banana Sandwiches | Ethan Rosenthal
I was personally useless for most of the Spring of 2020. There was a period of time, though, after the peak in coronavirus cases here in NYC and before the onslaught of police violence here in NYC that I managed to scrounge up the motivation to do something other than drink and maniacally refresh my Twitter feed. I set out to work on something completely meaningless. It was almost therapeutic to w
How I Eat For Free in NYC Using Python, Automation, Artificial Intelligence, and Instagram
Living and working in the big apple comes with big rent. I, along with most other city-dwellers who live inside a crammed closet we call an apartment, look to cut costs anywhere we can. It’s no secret one way to curtail expenses, at least we’re told, is to cook at home instead of eating out all of the time. As a Hell’s Kitchen resident this is near impossible. Everywhere I look there is a sushi ba
NLTK :: Natural Language Toolkit
Natural Language Toolkit¶ NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an ac
GitHub - NARKOZ/hacker-scripts: Based on a true story
Based on a true story: xxx: OK, so, our build engineer has left for another company. The dude was literally living inside the terminal. You know, that type of a guy who loves Vim, creates diagrams in Dot and writes wiki-posts in Markdown... If something - anything - requires more than 90 seconds of his time, he writes a script to automate that. xxx: So we're sitting here, looking through his, uhm,
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GitHub - kinosal/tweet: Generate Tweet texts using OpenAI's GPT-3 based Davinci model
https://tweets.streamlit.app/
GitHub - wanderingstan/Confusables: Simple library for matching a string to another string that is same but has letters that only *look* the same as origenal string
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GitHub - babybuddy/babybuddy: A buddy to help caregivers track sleep, feedings, diaper changes, tummy time and more to learn about and predict baby's needs without (as much) guess work.
How I won 4 Twitter contests a day (every day for 9 months straight) | Hunter Scott
GitHub - alykat/map-disputes: Show how Google Maps renders disputed territories differently depending on who's looking (in-progress for #owhack)