Gabriela de Queiroz gdequeiroz

## screenshot-paste-to-folder.sh
# Paste the clipboard contents (screenshot) and save it as a PNG image
pbpaste | screencapture -i screenshot.png

## PIP instalation.md

      
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                gdequeiroz
                / PIP instalation.md
            
            
              Created
              December 8, 2022 18:20
            
          
    When trying to install pandas via pip, I got this:

zsh:1: command not found: pip

The work around was to do:

echo "alias python=/usr/bin/python3" >> ~/.zshrc

Source: https://stackoverflow.com/a/71621142

  
## forking.md

      
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                gdequeiroz
                / forking.md
            
            
              Created
              January 29, 2019 00:21
            
              
                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


## general-resources.md

      
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                gdequeiroz
                / general-resources.md
            
            
              Last active
              October 19, 2018 17:40
            
              
                General Resources
              
          
    Datasets:


https://toolbox.google.com/datasetsearch
http://course.fast.ai/datasets
Simulating Supervised Learning Data: https://github.com/andrebleier/Xy
Conceptual Captions: A New Dataset and Challenge for Image Captioning: https://ai.googleblog.com/2018/09/conceptual-captions-new-dataset-and.html

Production:


Jupyter notebook to use in Production: https://medium.com/netflix-techblog/notebook-innovation-591ee3221233


## Adding Images to markdown files in Gist.markdown

      
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                gdequeiroz
                / Adding Images to markdown files in Gist.markdown
            
            
              Created
              July 7, 2018 23:11
                — forked from kannankumar/Adding Images to markdown files in Gist.markdown
            
          
    How To - Upload and add Images to markdown files in Gist

Markdown files allow embedding images in it.
However it requires the image to be hosted at some location and we can add the url of the image to embed it.
Example:
![Alternate image text](https://someurl/imagelocation/image.png)
We can use services like imgur or other services to host the images and use the hosted URL.

  
## file17cc0744a370.R
suppressPackageStartupMessages(library(selfscoRe))

## Fixed-field is our preferred file format

## Experian fields:
## First_Name
## Middle_Name
## Last_Name
## Addr1_Line1
## Addr1_Line2

## rladies_map.R
#27 groups + new logo

library(leaflet)
Rlogo <- makeIcon(iconUrl = "data:image/svg+xml;base64,PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjwhLS0gR2VuZXJhdG9yOiBBZG9iZSBJbGx1c3RyYXRvciAxOS4yLjEsIFNWRyBFeHBvcnQgUGx1Zy1JbiAuIFNWRyBWZXJzaW9uOiA2LjAwIEJ1aWxkIDApICAtLT4NCjxzdmcgdmVyc2lvbj0iMS4xIiBpZD0iTGF5ZXJfMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIiB4bWxuczp4bGluaz0iaHR0cDovL3d3dy53My5vcmcvMTk5OS94bGluayIgeD0iMHB4IiB5PSIwcHgiDQoJIHZpZXdCb3g9IjAgMCA0MDAgNDAwIiBzdHlsZT0iZW5hYmxlLWJhY2tncm91bmQ6bmV3IDAgMCA0MDAgNDAwOyIgeG1sOnNwYWNlPSJwcmVzZXJ2ZSI+DQo8c3R5bGUgdHlwZT0idGV4dC9jc3MiPg0KCS5zdDB7ZmlsbDp1cmwoI1NWR0lEXzFfKTt9DQoJLnN0MXtmaWxsOnVybCgjU1ZHSURfMl8pO30NCjwvc3R5bGU+DQo8bGluZWFyR3JhZGllbnQgaWQ9IlNWR0lEXzFfIiBncmFkaWVudFVuaXRzPSJ1c2VyU3BhY2VPblVzZSIgeDE9Ii00MzguMzQzNSIgeTE9IjYwMC40NTA2IiB4Mj0iLTQzNy44ODY2IiB5Mj0iNTk5Ljk5MzciIGdyYWRpZW50VHJhbnNmb3JtPSJtYXRyaXgoNzIxLjA5NCAwIDAgLTQ4Mi45MzcgMzE2MTIyLjE1NjMgMjkwMDQ5LjE1NjMpIj4NCgk8c3RvcCAgb2Zmc2V0PSIwIiBzdHlsZT0ic3RvcC1jb2xvcjojQ0FDRENGIi8+DQoJPHN0b3AgI

## json.py
import json
json.loads(pclick_samples[0]).keys()
# Out[223]: [u'timestamp', u'logger', u'data', u'appVersion', u'level']
#
for i in pclick_samples[0:5]:
  print json.loads(i)['data']['pclick']
# 0.00533626494896
# 0.00451090461716
# 0.00265758681441
# 0.00276519885403

## s3.r
library(httr)
library(digest)
library(XML)

s3_request <- function(verb, bucket, path = "/", query = NULL,
                       content = NULL, date = NULL) {
  list(
    verb = verb,
    bucket = bucket,
    path = path,

## gist:91ddcf6e4d0defa0c421
// in the spark shell here i load the file from S3
val myFile = sc.textFile("s3://some-s3-bucket/us-constitution.txt")

// Classic wordcount
val counts = myFile.flatMap(line => line.toLowerCase().replace(".", " ").replace(",", " ").split(" ")).map(word => (word, 1L)).reduceByKey(_ + _)

// create tuples for the words
val sorted_counts = counts.collect().sortBy(wc => -wc._2)

// print out a sample of 10 to see results
	# Paste the clipboard contents (screenshot) and save it as a PNG image
	pbpaste \| screencapture -i screenshot.png
	suppressPackageStartupMessages(library(selfscoRe))

	## Fixed-field is our preferred file format

	## Experian fields:
	## First_Name
	## Middle_Name
	## Last_Name
	## Addr1_Line1
	## Addr1_Line2
	#27 groups + new logo

	library(leaflet)
	Rlogo <- makeIcon(iconUrl = "data:image/svg+xml;base64,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
	import json
	json.loads(pclick_samples[0]).keys()
	# Out[223]: [u'timestamp', u'logger', u'data', u'appVersion', u'level']
	#
	for i in pclick_samples[0:5]:
	print json.loads(i)['data']['pclick']
	# 0.00533626494896
	# 0.00451090461716
	# 0.00265758681441
	# 0.00276519885403
	library(httr)
	library(digest)
	library(XML)

	s3_request <- function(verb, bucket, path = "/", query = NULL,
	content = NULL, date = NULL) {
	list(
	verb = verb,
	bucket = bucket,
	path = path,
	// in the spark shell here i load the file from S3
	val myFile = sc.textFile("s3://some-s3-bucket/us-constitution.txt")

	// Classic wordcount
	val counts = myFile.flatMap(line => line.toLowerCase().replace(".", " ").replace(",", " ").split(" ")).map(word => (word, 1L)).reduceByKey(_ + _)

	// create tuples for the words
	val sorted_counts = counts.collect().sortBy(wc => -wc._2)

	// print out a sample of 10 to see results