indiesquidge

Advanced React by React Training

Personal notes while working through Advanced React: https://courses.reacttraining.com/p/advanced-react

Granted this is a contrived example, but it's still something I took notice to: in those "Advanced React" videos I've been watching, Ryan Florence codes very slowly, and does not make one quick change and jump back to the browser to see what changed.

He stops and thinks. He asks himself (or the viewer) questions. He wonders what

jonathansick

{
  repository(name: "sickvim", owner: "jonathansick") {
    ref(qualifiedName: "master") {
      target {
        ... on Commit {
          id
          history(first: 5) {
            pageInfo {
              hasNextPage
            }

hediet

type StringBool = "true"|"false";


interface AnyNumber { prev?: any, isZero: StringBool };
interface PositiveNumber { prev: any, isZero: "false" };

type IsZero<TNumber extends AnyNumber> = TNumber["isZero"];
type Next<TNumber extends AnyNumber> = { prev: TNumber, isZero: "false" };
type Prev<TNumber extends PositiveNumber> = TNumber["prev"];

pandafulmanda

Python3 Virtualenv Setup

Requirements

• Python 3
• Pip 3

$ brew install python3

emeeks

The range sliders at the top change the values for the force-directed algorithm and the buttons load new graphs and apply various techniques. This will hopefully serve as a tool for teaching network analysis and visualization principles during my Gephi courses and general Networks in the Humanities presentations.

Notice this includes a pretty straightforward way to load CSV node and edge lists as exported from Gephi.

It also includes a pathfinding algorithm built for the standard data structure of force-directed networks in D3. This requires the addition of .id attributes for the nodes, however.

Now with Clustering Coefficients!

Also, it loads images for nodes but the images are not in the gist. The code also refers to different network types but the data files on Gist only refer to the transportation network.

briandk

Contributing to Transcriptase

We love your input! We want to make contributing to this project as easy and transparent as possible, whether it's:

• Reporting a bug
• Discussing the current state of the code
• Submitting a fix
• Proposing new features
• Becoming a maintainer

We Develop with Github

slavikdev

Rails request path cheatsheet

Full path with query string

>>  request.url
=> "http://localhost:3000/ask-help.amp?hui=pizda"

Virtual path without query string

>>  request.path
=> "/ask-help.amp"

jFransham

Achieving warp speed with Rust

Contents:

• Number one optimization tip: don't
• Never optimize blindly
• Don't bother optimizing one-time costs
• Improve your algorithms
• CPU architecture primer
• Keep as much as possible in cache
• Keep as much as possible in registers

lukas-h

Markdown License badges

Collection of License badges for your Project's README file.
This list includes the most common open source and open data licenses.
Easily copy and paste the code under the badges into your Markdown files.

Notes

• The badges do not fully replace the license informations for your projects, they are only emblems for the README, that the user can see the License at first glance.

Translations: (No guarantee that the translations are up-to-date)

• 🇫🇷 Cette liste en français

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats