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Lists of company wise questions. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of 20 Oct, 2025
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A curated list of Web Performance Optimization.
CSS talks you have to see covering CSS Grid, flexbox, custom variables, performance, frameworks, tooling, and more! 📺
Example of using SwiftUI to create a beautiful Liquid Swipe control
Collection of Event ID ressources useful for Digital Forensics and Incident Response
Example projects to help you get started with Hygraph
A curated list of awesome golang workshops.
Source code for the "Backbone.Marionette.js: A Gentle Introduction" book available at https://leanpub.com/marionette-gentle-introduction
Collection of applications based on a single C# .NET Standard project running in: Blazor Client (WebAssembly), Blazor Server, Electron, WPF, WinForms, Maui, WinUI3
Instructions for building an almost consumer hardware based prototype of a hearing aid
TranslatedA guide to avoiding scams in the human world: 373 scam breakdowns covering 16 categories, including fake-order task scams (刷单), pig-butchering scams (杀猪盘), AI face-swapping, and scams targeting the elderly; includes real case reports, everyday self-check lists, PDF/EPUB/Anki downloads, and a scam-avoidance mini-game with 12 rounds
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Generate, encode, and decode UUIDs v1 with fast or cryptographic-quality random node identifier.