Skip to content

Instantly share code, notes, and snippets.

View stevenferrer's full-sized avatar

Steven Ferrer stevenferrer

107 followers · 224 following
View GitHub Profile
@stevenferrer
stevenferrer / konsole_breeze_dark_tab.css
Last active July 10, 2019 08:23
Konsole breeze dark tab style
QTabBar::tab {
color: #808080;
background-color: #444c53;
font-size: 12px;
font-family: "Roboto";
height: 25px;
padding: 0px;
border: 1px;
}
@stevenferrer
stevenferrer / 01_basic.go
Created January 23, 2019 08:14 — forked from reagent/00_README.md
Custom HTTP Routing in Go
package main
import (
"io"
"log"
"net/http"
)
func main() {
@stevenferrer
stevenferrer / sqrt_approx.go
Created January 21, 2019 06:56
square root value approximation using newton's method
package main
import (
"fmt"
"math"
)
func Sqrt(x float64) float64 {
// starting value
var z float64 = x / 2
@stevenferrer
stevenferrer / keycloak.html
Created July 21, 2018 22:28 — forked from thomasdarimont/keycloak.html
Keycloak JS Only public client example
<html>
<head>
<script src="http://localhost:8081/auth/js/keycloak.js" type="text/javascript">
</script>
</head>
<body>
<h1>js-demo-app</h1>
@stevenferrer
stevenferrer / docker-compose.yaml
Created July 17, 2018 22:33 — forked from alpham/docker-compose.yaml
docker compose file to run odoo 11
version: "3"
services:
db:
image: postgres:9.4
deploy:
replicas: 1
volumes:
- pgsql_data:/var/lib/postgresql/data:rw,Z
environment:
@stevenferrer
stevenferrer / kmeans.py
Created February 13, 2018 05:37 — forked from mblondel/kmeans.py
Fuzzy K-means and K-medians
# Copyright Mathieu Blondel December 2011
# License: BSD 3 clause
import numpy as np
import pylab as pl
from sklearn.base import BaseEstimator
from sklearn.utils import check_random_state
from sklearn.cluster import MiniBatchKMeans
from sklearn.cluster import KMeans as KMeansGood
@stevenferrer
stevenferrer / numpy-opttheta.mat
Created February 12, 2018 06:03 — forked from hernamesbarbara/numpy-opttheta.mat
How to import structured matlab data into python with scipy | prototype | http://bit.ly/1cdqxQc
@stevenferrer
stevenferrer / kmeansExample.py
Created January 23, 2018 06:04 — forked from iandanforth/kmeansExample.py
A pure python implementation of K-Means clustering. Optional cluster visualization using plot.ly.
#############################################################################
# Full Imports
import math
import random
"""
This is a pure Python implementation of the K-Means Clustering algorithmn. The
original can be found here:
http://pandoricweb.tumblr.com/post/8646701677/python-implementation-of-the-k-means-clustering
@stevenferrer
stevenferrer / GitHub-Forking.md
Created January 10, 2018 07:44 — forked from Chaser324/GitHub-Forking.md
GitHub Standard Fork & Pull Request Workflow

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

@stevenferrer
stevenferrer / mongodb.md
Created October 7, 2017 07:06
#mongodb cheat sheet

MongoDB cheat sheet

Overview

Overview

MongoDB is a document database that provides high performance, high availability, and easy scalability.

  • Document Database