Looking up, Jim Fenwick (because)
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Kiana Khansmith

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@leonardofsales
Looking up, Jim Fenwick (because)
Não é verdade que tá quente em Brasília (em Condominio Ecológico Parque do Mirante)
O sol de Brasília.
Dona gata Amélie.
(via Data-Science-Periodic-Table.png (7150×3475))
Hello, Ada!
Sorting algorithms. Apparently there are an endless number of ways to visualize them in various contexts, and somehow it never gets old. Here sorting in the context of books on a shelf.
(via Getting Up Close and Personal with Algorithms)
Usando a API GeoJSON
In this assignment you will write a Python program somewhat similar to http://www.pythonlearn.com/code/geojson.py. The program will prompt for a location, contact a web service and retrieve JSON for the web service and parse that data, and retrieve the first place_id from the JSON. A place ID is a textual identifier that uniquely identifies a place as within Google Maps.
import urllib import json
serviceurl = 'http://python-data.dr-chuck.net/geojson?'
while True: address = raw_input('Enter location: ') if len(address) < 1 : break
url = serviceurl + urllib.urlencode({'sensor':'false', 'address': address}) print 'Retrieving', url uh = urllib.urlopen(url) data = uh.read() print 'Retrieved',len(data),'characters'
try: js = json.loads(str(data)) except: js = None if 'status' not in js or js['status'] != 'OK': print '==== Failure To Retrieve ====' print data continue
placeid = js["results"][0]["place_id"]
print placeid
Projeto guiado: mortes por arma nos Estados Unidos
A série de códigos a seguir descreve métodos de análise da base de dados coletada pela turma do FiveThirtyEight com a quantidade de mortes por armas de fogo nos Estados Unidos, entre os anos 2012 e 2014. É um projeto guiado em curso no Dataquest sobre ciência de dados, com uso de Python, Pandas e NumPy.
Nina, abril de 2016.
Mirante, 2016.
Olá, broto.
Nina.
Degelo. A série completa tem aqui: https://500px.com/leonardofsales/galleries/degelo-7
Na Sé paulistana.