Overview
MongoDB is a document database that provides high performance, high availability, and easy scalability.
- Document Database
package main | |
import ( | |
"log" | |
"net/http" | |
"net/http/httputil" | |
) | |
func main() { | |
http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) { |
package main | |
import ( | |
"fmt" | |
"time" | |
) | |
func main() { | |
ints := []int{} |
package main | |
import ( | |
"fmt" | |
"strings" | |
) | |
type Decorator func(string) string | |
func Upper() Decorator { |
package main | |
import ( | |
"io/ioutil" | |
"log" | |
"strings" | |
"net/http" | |
"encoding/json" | |
"fmt" | |
"time" |
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.
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
############################################################################# | |
# 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 |
# 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 |
version: "3" | |
services: | |
db: | |
image: postgres:9.4 | |
deploy: | |
replicas: 1 | |
volumes: | |
- pgsql_data:/var/lib/postgresql/data:rw,Z | |
environment: |