Learn Python for the next 30 (or so) Days.
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Updated
Feb 27, 2024 - HTML
Learn Python for the next 30 (or so) Days.
NBA Stats API via Basketball Reference
Jekyll-based static site for The Programming Historian
`scrape_linkedin` is a python package that allows you to scrape personal LinkedIn profiles & company pages - turning the data into structured json.
Learn everything web scraping with David Teather Codes on YouTube
Scrape, standardize and share public meetings from local government websites
A fork of Dragnet that also extract author, headline, date, keywords from context, as well as built in metadata extraction all in one package
DPULSE - Tool for complex approach to domain OSINT
The repository and website hosting the peer review process for new Programming Historian lessons
Scape top GitHub repositories and users based on keywords
A library to read a YML file with Xpath or CSS Selectors and extract data from HTML pages using them
A high-performance personal fund tracker focused on providing real-time net value estimations. It features deep stock penetration, smart reverse-calculation, and robust multi-level caching for a seamless experience. 一款专注于提供基金实时净值估算的高性能追踪看板。支持底层重仓股穿透、智能净值反向推算,并内置防御级三级缓存架构。
Machine Learning Project to Compare and Evaluate Text Summarization Algorithms Using SpaCy, NLTK, Gensim, and Sumy.
Open source implementation of Sova - RAG-based Web search engine using power of LLMs. Using Langchain, Ollama, HuggingFace Embeddings and scraping google search results.
Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)
Materials to reproduce findings in our story, "Google’s Top Search Result? Surprise! It’s Google"
Building a Concurrent Web Scraper with Python and Selenium
collection of 100k+ audio books, radio porgrams, music etc from archive.org in a easy to listen m3u playlist format
Extract HTML elements from the command line using CSS selectors or XPath. Pipe-friendly Python CLI.
The browser engine for agents. HTML in, Semantic Object Model out. 10x token compression, V8 JS rendering, CDP compatible. Apache-2.0.
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