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Keep learning, have fun, be kind!

Juan Carlos Quintero juancarlosqr

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@hlrd93
hlrd93 / React
Last active May 31, 2017 21:02
React
#**React:** *First episode*
###*Introduction*
React is a Javascript library focused on the development of user interfaces. This is the main work area, but with the whole ecosystem of applications and tools and components, with React we find an excellent partner to make all kinds of web applications, **SPA (Single Page Application)** or even mobile applications.
It is therefore a base on which you can build almost anything with Javascript and that facilitates much development, as it offers us many things already ready, in which we do not need to invest time to develop.
###*Configurar React*
*React* es una librería de ***JavaScript*** para crear interfaces de usuario, el primer paso es configurar el entorno.
@hugobowne
hugobowne / tweet_listener.py
Last active October 6, 2023 18:48
NOTE: this code is for a previous version of the Twitter API and I will not be updating in the near future. If someone else would like to, I'd welcome that! Feel free to ping me. END NOTE. Here I define a Tweet listener that creates a file called 'tweets.txt', collects streaming tweets as .jsons and writes them to the file 'tweets.txt'; once 100…
class MyStreamListener(tweepy.StreamListener):
def __init__(self, api=None):
super(MyStreamListener, self).__init__()
self.num_tweets = 0
self.file = open("tweets.txt", "w")
def on_status(self, status):
tweet = status._json
self.file.write( json.dumps(tweet) + '\n' )
self.num_tweets += 1
@subfuzion
subfuzion / curl.md
Last active July 25, 2024 08:53
curl POST examples

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

@curran
curran / README.md
Last active June 10, 2024 12:43
The Iris Dataset

This is the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot). Each row of the table represents an iris flower, including its species and dimensions of its botanical parts, sepal and petal, in centimeters.

The HTML page provides the basic code required to load the data and display it on the page (as JSON) using D3.js.

For a more up to date code example with React & D3, see (VizHub: Stylized Scatter Plot)[https://vizhub.com/curran/3d631093c2334030a6b27fa979bb4a0d?edit=files&file=index.js].

@CristinaSolana
CristinaSolana / gist:1885435
Created February 22, 2012 14:56
Keeping a fork up to date

1. Clone your fork:

git clone git@github.com:YOUR-USERNAME/YOUR-FORKED-REPO.git

2. Add remote from original repository in your forked repository:

cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream