Treeki

#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>

// munged from https://github.com/simontime/Resead

namespace sead
{
class Random
{

DGrady

Query Oracle databases with Python and SQLAlchemy

N.B. SQLAlchemy now incorporates all of this information in its documentation; I’m leaving this post here, but recommend referring to SQLAlchemy instead of these instructions.

Install requirements

1. We’ll assume you already have SQLAlchemy and Pandas installed; these are included by default in many Python distributions.
2. Install the cx_Oracle package in your Python environment, using either pip or conda, for example:

harshavardhana

How to configure static website using Nginx with MinIO ?

1. Install nginx

2. Install minio

3. Install mc client

4. Create a bucket:

$ mc mb myminio/static
Bucket created successfully ‘myminio/static’.

oliveratgithub

<!-- Example #1 - no styling -->
Made with ❤ in Switzerland
Made with ♥ in Switzerland
Made with ♡ in Switzerland
Made with ❤️ in Switzerland
Made with ♥️ in Switzerland

<!-- Example #2 - inline-styled ❤ -->
Made with <span style="color: #e25555;">&#9829;</span> in Switzerland
Made with <span style="color: #e25555;">&hearts;</span> in Switzerland

spalladino

# Backup
docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql

# Restore
cat backup.sql | docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE

Nemitek

import pandas as pd  
from random import random

flow = (list(range(1,10,1)) + list(range(10,1,-1)))*1000  
pdata = pd.DataFrame({"a":flow, "b":flow})  
pdata.b = pdata.b.shift(9)  
data = pdata.iloc[10:] * random()  # some noise  

import numpy as np

bonzanini

curl -XPOST http://localhost:9200/test/articles/1 -d '{
    "content": "The quick brown fox"
}'
curl -XPOST http://localhost:9200/test/articles/2 -d '{
    "content": "What does the fox say?"
}'
curl -XPOST http://localhost:9200/test/articles/3 -d '{
    "content": "The quick brown fox jumped over the lazy dog"
}'
curl -XPOST http://localhost:9200/test/articles/4 -d '{

LeCoupa

// Restify Server CheatSheet.
// More about the API: http://mcavage.me/node-restify/#server-api
// Install restify with npm install restify


// 1.1. Creating a Server.
// http://mcavage.me/node-restify/#Creating-a-Server


var restify = require('restify');

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

davharris

set.seed(1)

# Create fake data
x = runif(100, 0, 5)
y = .25 * x^3 - x^2 + rnorm(length(x))
data = data.frame(x = x, y = y)

# Identify 500 points to include in the plots
x.sequence = seq(0, 5, length = 500)