guillaumegarcia13

HTML Forms

In order that you never go to W3Schools (never go there), here is a basic cheat sheet for writing simple HTML forms.

This is culled from a few sources, [the most important being MDN][MDN]. MDN (the Mozilla Developer Network) should be seen as "the docs" when you are having an issue with HTML.

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"];

slavikdev

Rails request path cheatsheet

Full path with query string

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

Virtual path without query string

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

jonathansick

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

joncardasis

Storing Images and Demos in your Repo

In this quick walkthough you'll learn how to create a separate branch in your repo to house your screenshots and demo gifs for use in your master's readme.

How to

1. Clone a fresh copy of your repo

In order to prevent any loss of work it is best to clone the repo in a separate location to complete this task.

2. Create a new branch

Create a new branch in your repo by using git checkout --orphan assets

pandafulmanda

Python3 Virtualenv Setup

Requirements

• Python 3
• Pip 3

$ brew install python3

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

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

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

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