Curated coding interview preparation materials for busy software engineers
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Curated coding interview preparation materials for busy software engineers
A collection of (mostly) technical things every software developer should know about
📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors
List of Data Science Cheatsheets to rule the world
TranslatedGitHub 漫游指南 (Manyou Zhinan, "Roaming Guide")- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
This is the new home of the original DDD Sample app (previously hosted at sf.net)..
A selection of state-of-the-art research materials on trajectory prediction
Complete working example of using Domain Driven Design (DDD), Hexagonal Architecture, CQRS, Event Sourcing (ES), Event Driven Architecture (EDA), Behaviour Driven Development (BDD) using TypeScript and NestJS. Like what you see? Don't forget to star! ⭐ ^^^
:alien: A curated list of functional programming resources such as blog posts, communities, discussion topics, wikis and more.
List of resources related to LD_PRELOAD, a mechanism for changing application behavior at run-time
✅ List of Automated Testing (TDD/BDD/ATDD/SBE) Tools and Frameworks for .NET
Roadmap to becoming a Vue.js developer in 2019
learning maths again
common creational, behavioural and structural patterns implemented in go 🤩
A legacy refactor kata, focused on the violation of the tell don't ask principle and anemic domain model