Jaroslav Urbánek jurby

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jurby / Docker Compose + NATS example

Created September 13, 2016 12:14 — forked from wallyqs/Docker Compose + NATS example

NATS Docker blog post/HTTP Server

	FROM golang:1.6.2

	COPY . /go

	RUN go get github.com/nats-io/nats
	RUN go build api-server.go

	EXPOSE 8080
	ENTRYPOINT ["/go/api-server"]

jurby / .gitignore

Created September 21, 2016 15:40 — forked from karmi/.gitignore

Example Nginx configurations for Elasticsearch

jurby / FunctionClientCredentials.cs

Created July 4, 2017 12:06 — forked from ahelland/FunctionClientCredentials.cs

	#r "Newtonsoft.Json"
	#r "System.Configuration"
	#r "Microsoft.IdentityModel.Clients.ActiveDirectory.dll"

	using System.Net;
	using System.Configuration;
	using System.Security.Claims;
	using System.Net.Http.Headers;
	using Newtonsoft.Json;
	using Microsoft.IdentityModel.Clients.ActiveDirectory;

jurby / background.js

Created August 30, 2017 11:09 — forked from delfrrr/background.js

react-native requestAnimationFrame and d3-interpolate

	//this is an example of background animation from my weather comparsion app
	//you can get early build of app at http://zowni.com
	//full source of background.js below

	const React = require('react');
	const Svg = React.createFactory(require('react-native-svg').Svg);
	const {interpolate} = require('d3-interpolate');
	//...

	/**

jurby / gatsby_performance_build_script.sh

Created June 29, 2018 14:47 — forked from calcsam/gatsby_performance_build_script.sh

Build script used for Gatsby performance benchmarking

	export GITHUB_USER=freeCodeCamp
	export REPO=guide
	export COMMIT_HASH=6f35bcd61103545136a3ed130124da9822b761ed

	#export GITHUB_USER=calcsam
	#export REPO=gatsby-image-performance-benchmarking
	#export COMMIT_HASH=d2d358ed54ade68c057333666777fd56bef5ebf2
	#export COMMIT_HASH=f05103a1c3e0b25ea4beafd63b6df72953d657b2

	sudo -E su

jurby / config.json

Created June 19, 2019 15:57 — forked from Alxandr/config.json

jurby / microgpt.py

Created February 13, 2026 21:02 — forked from karpathy/microgpt.py

microgpt

	"""
	The most atomic way to train and inference a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp