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@vasanthk
vasanthk / System Design.md
Last active May 1, 2024 16:16
System Design Cheatsheet

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

  1. Clarify and agree on the scope of the system
  • User cases (description of sequences of events that, taken together, lead to a system doing something useful)
    • Who is going to use it?
    • How are they going to use it?
@lukas-h
lukas-h / license-badges.md
Last active May 1, 2024 10:20
Markdown License Badges for your Project

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)

@briandk
briandk / CONTRIBUTING.md
Created March 18, 2016 20:29
A basic template for contributing guidelines that I adapted from Facebook's open source guidelines

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

@fchollet
fchollet / classifier_from_little_data_script_1.py
Last active November 28, 2023 07:12
Updated to the Keras 2.0 API.
'''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
fchollet / classifier_from_little_data_script_2.py
Last active September 13, 2023 03:34
Updated to the Keras 2.0 API.
'''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
@pandafulmanda
pandafulmanda / Python3 Virtualenv Setup.md
Last active March 12, 2024 15:59 — forked from akszydelko/Python3 Virtualenv Setup.md
Setting up and using Python3 Virtualenv on Mac

Python3 Virtualenv Setup

Requirements
  • Python 3
  • Pip 3
$ brew install python3
@joncardasis
joncardasis / Storing-Images-On-Github.md
Last active February 2, 2024 02:30
Storing Images and Demos in your Repo

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

@jonathansick
jonathansick / query.graphql
Last active January 20, 2024 07:58
GitHub GraphQL repo commit history query
{
repository(name: "sickvim", owner: "jonathansick") {
ref(qualifiedName: "master") {
target {
... on Commit {
id
history(first: 5) {
pageInfo {
hasNextPage
}
@slavikdev
slavikdev / cheatsheet.md
Created March 16, 2017 17:54
Rails request path cheatsheet

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"
@hediet
hediet / main.md
Last active March 11, 2024 15:05
Proof that TypeScript's Type System is Turing Complete
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"];