| import tweepy | |
| import csv | |
| import pandas as pd | |
| ####input your credentials here | |
| consumer_key = '' | |
| consumer_secret = '' | |
| access_token = '' | |
| access_token_secret = '' | |
| auth = tweepy.OAuthHandler(consumer_key, consumer_secret) |
If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?
I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:
| library(shiny) | |
| library(datasets) | |
| Logged = FALSE; | |
| PASSWORD <- data.frame(Brukernavn = "withr", Passord = "25d55ad283aa400af464c76d713c07ad") | |
| # Define server logic required to summarize and view the selected dataset | |
| shinyServer(function(input, output) { | |
| source("www/Login.R", local = TRUE) | |
| observe({ | |
| if (USER$Logged == TRUE) { |
| from PIL import Image | |
| from PIL.ExifTags import TAGS, GPSTAGS | |
| def get_exif_data(image): | |
| """Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags""" | |
| exif_data = {} | |
| info = image._getexif() | |
| if info: | |
| for tag, value in info.items(): | |
| decoded = TAGS.get(tag, tag) |
