react-bits
papers-we-love
react-bits | papers-we-love | |
---|---|---|
7 | 70 | |
16,545 | 84,336 | |
- | 1.2% | |
3.3 | 4.1 | |
about 2 months ago | 8 days ago | |
Shell | ||
Creative Commons Attribution 4.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
react-bits
-
Ultimate Guide & Resources to Enhancing Your ReactJS Skills || 16 GitHub repositories
Master the art of React with these bite-sized React Bits - quick tips and tricks for efficient development.
-
16 Github Repos to master React
6-) Repo with small tricks and tips where experiences are transferred as well as learning by reading react-bits
-
100+ Must Know Github Repositories For Any Programmer
1. React Bits
-
10 GitHub repositories to Become a React Master 👨💻💯
Gitbook format: https://vasanthk.gitbooks.io/react-bits
- Good repository for Reference
-
Free 500+ books and learning resources for every programmer.
React-Bits (vasanthk)
papers-we-love
-
The Top 10 GitHub Repositories Making Waves 🌊📊
Papers We Love (PWL) is a community built around reading, discussing and learning more about academic computer science papers. This repository serves as a directory of some of the best papers the community can find, bringing together documents scattered across the web. You can also visit the Papers We Love site for more info.
- What led you to use Linux as your daily driver?
-
We have used too many levels of abstractions and now the future looks bleak
You might find the paper Out of the Tar Pit interesting if you haven't already read it: https://github.com/papers-we-love/papers-we-love/blob/main/d...
The ideas and approaches you talk about evoked some of the concepts from that paper for me. It talks a lot about separating accidental complexity and infrastructure so you can focus only on what is essential to define your solutions.
- Out Of The Tar Pit (2006) [pdf]
-
John McCarthy’s collection of numerical facts for use in elisp programs
Sure he was expecting a practical language and was designing one. Lisp was from day zero a project to implement a real programming language for a computer.
Earlier he experimented with IPL and also list processing programming on Fortran. The plan was to implement a Lisp compiler. At first the Lisp code McCarthy was experimenting with, was manually translated to machine code.
Then came up the idea to use EVAL as a base for an interpreter, which was implemented by manually translating the Lisp code to machine language. Around 1962 then a compiler followed.
https://github.com/papers-we-love/papers-we-love/blob/main/c...
-
Python: Just Write SQL
I'm in a 4th camp: we should be writing our applications against a relational data model and _not_ marshaling query results into and out of Objects at all.
Elaborations on this approach:
- https://github.com/papers-we-love/papers-we-love/blob/main/d...
- https://riffle.systems/essays/prelude/
- CS Journals and Magazines?
-
Ask HN: Incremental View Maintenance for SQLite?
The short ask: Anyone know of any projects that bring incremental view maintenance to SQLite?
The why:
Applications are usually read heavy. It is a sad state of affairs that, for these kinds of apps, we don't put more work on the write path to allow reads to benefit.
Would the whole No-SQL movement ever even have been a thing if relational databases had great support for materialized views that updated incrementally? I'd like to think not.
And more context:
I'm working to push the state of "functional relational programming" [1], [2] further forward. Materialized views with incremental updates are key to this. Bringing them to SQLite so they can be leveraged one the frontend would solve this whole quagmire of "state management libraries." I've been solving the data-sync problem in SQLite (https://vlcn.io/) and this piece is one of the next logical steps.
If nobody knows of an existing solution, would love to collaborate with someone on creating it.
[1] - https://github.com/papers-we-love/papers-we-love/blob/main/design/out-of-the-tar-pit.pdf
-
Good papers for high school students?
Here is a great Repo on GitHub named paers-we-love. You will surely find some great papers there and also some good other resources. Hope this helps.
-
I think Zig is hard but worth it
However, f and g are interchangeable anywhere else (this is not actually true because their addresses can be obtained and compared; showing that a C-like language retains its referential transparency despite the existence of so-called l-values was the point of what I think is the first paper to introduce the notion referential transparency to the study of programming languages: https://github.com/papers-we-love/papers-we-love/blob/main/l...)
What are some alternatives?
react - Cheatsheets for experienced React developers getting started with TypeScript
Crafting Interpreters - Repository for the book "Crafting Interpreters"
devdocs - API Documentation Browser
Flowgorithm-macOS - Flowgorithm for Mac OS
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
elm-architecture-tutorial - How to create modular Elm code that scales nicely with your app
clojure-style-guide - A community coding style guide for the Clojure programming language
lisp-koans - Common Lisp Koans is a language learning exercise in the same vein as the ruby koans, python koans and others. It is a port of the prior koans with some modifications to highlight lisp-specific features. Structured as ordered groups of broken unit tests, the project guides the learner progressively through many Common Lisp language features.
git-internals-pdf - PDF on Git Internals
Kalman-and-Bayesian-Filters-in-Python - Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
salsa - A generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.