The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
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chai aur react series on youtube
📈 A small, fast chart for time series, lines, areas, ohlc & bars
A CLI tool to run multiple npm-scripts in parallel or sequential.
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.
Cubism.js: A JavaScript library for time series visualization.
A series of web components examples, related to the MDN web components documentation at https://developer.mozilla.org/en-US/docs/Web/Web_Components.
Interactive visualizations of time series using JavaScript and the HTML canvas tag
A time based / event series interactive visualization using d3.js
Run a series of dependent gulp tasks in order
An intro to the Web Audio API by a series of self-guided workshops.
[A]synchronous Functional Programming
A free cartoon browser game about how the internet really works: lay fiber and subsea cables, peer at IXPs, bill on the 95th percentile and survive backhoes, sharks and route leaks on your way to Tier 1.
✨🐌 🐎✨ fastest npm scripts runner
Iterate over promises serially
Map over promises serially
t6 is a "Data-first" IoT platform to connect physical Objects with time-series DB and perform Data Analysis.
Repo to accompany the series "Build A Pet Management System With Remix, Prisma, and Postgres" https://www.youtube.com/watch?v=wqyHGQlZcws&list=PLTnRtjQN5ieYu9SdwLvzKYFVtfqySY7FT
mongodb-aggregate-adventure will run through a series of MongoDB aggregation workshops. Starting at a basic aggregation tasks and moving on to more advanced exercises about dealing with aggregation using MongoDB.