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argenisleon / 0_reuse_code.js
Last active August 29, 2015 14:13
Here are some things you can do with Gists in GistBox.
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console
@argenisleon
argenisleon / gist:46ce70b16cbe9b6ebe4613bb1a2148ed
Created March 18, 2018 22:58
Prueba de concepto de Bigchain
var orm = require('bigchaindb-orm');
const driver = require('bigchaindb-driver')
const bip39 = require('bip39')
var express = require('express');
var router = express.Router();
/* GET home page. */
router.get('/', function(req, res, next) {
res.render('index', { title: 'Express'});
var express = require('express');
var router = express.Router();
const series = require('async/series')
const IPFS = require('ipfs')
module.exports = router;
# Foot switch driver http://software.pcsensor.com/pc_en.html
# Key mapper https://autohotkey.com/
# Now create a new script
1.Right-Click on your desktop.
2.Find "New" in the menu.
3.Click "AutoHotkey Script" inside the "New" menu.
4.Give the script a new name. It must end with a .ahk extension. For example: MyScript.ahk
5.Find the newly created file on your desktop and right-click it.
@argenisleon
argenisleon / Basic_Pandas_vs_Spark_Optimus.md
Last active August 24, 2018 16:40
Basic Operations Pandas Vs Spark Vs Optimus
Operation Pandas Spark Optimus
Create Dataframe pd.Dataframe spark.createdataframe() op.create.df()
Append Column df.join(), pd.concat() df.withColumn() df.cols.append()
Append Row df.append() df.union() df.rows().append()
Filter Column df.filter(axis=1) df.select() df.cols.select()
Filter Row df.filter() df.filter() df.rows.select()
Apply df.apply() fn = F.udf(labmbda x:x+1, DoubleType()) df.withColumn('disp1', fn(df.disp)) df.cols.apply()
Drop Column df.drop(axis=1) df.drop() df.cols.drop()
Drop Row df.drop() df.filter() df.rows.drop()
Description Pandas Spark Optimus
Read csv file pd.read_csv() spark.read.csv() op.read.csv()
Create Dataframe pd.Dataframe df.createdataframe() op.create.df()
Append Row df.append df.union() df.row().append()
Column Mean df.mean df1.agg({"x": "max"}) df.cols().mean()
Show Rows from Dataframe df.head() df.show() df.show()
Drop Columns df.drop() df.drop() df.cols().drop()
Sum all values in a Column df.sum() df1.agg({"x": "sum"}) function df.cols().sum()
Save Dataframe to csv df.to_csv() df.write.csv() df.save().csv()
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{
"columns": {
"escuelas_cercanas": {
"column_type": "bool",
"dtypes_stats": {
"bool": 21,
"date": 0,
"float": 0,
"int": 0,
"missing": 0,
{
"columns": {
"GeoLocation": {
"column_type": "categorical",
"frequency": [
{
"count": 1,
"percentage": 0.00219,
"value": "(-31.416670, -60.666670)"
},
df = op.create.df(
[
("names", "str", True),
("height", "float", True),
("function", "str", True),
("rank", "int", True),
],
[
("bumbl#ebéé ", 17.5, "Espionage", 7),
("Optim'us", 28.0, "Leader", 10),