David Ervideira dvdme

## group_json_by_key.py
"""
Example usage of the function `group_json_by_key`
"""
import json

JSON_EXAMPLE_STR = """
{
    "color": {
        "0": "yellow",
        "1": "red"

## install-docker-18.04.sh
#!/bin/bash

 # Install with instructions from Docker
apt-get remove docker docker-engine docker.io containerd runc
apt-get update
apt-get install \
    apt-transport-https \
    ca-certificates \
    curl \
    gnupg-agent \

## Flatten.cs
public static class ListExtension
{
    /// <summary>
    /// Creates a single flat list from a list of lists input.
    /// </summary>
    /// <typeparam name="T"></typeparam>
    /// <param name="inListOfLists"></param>
    /// <returns>A single flatten list from a list of lists input</returns>
    public static List<T> Flatten<T>(this List<List<T>> inListOfLists)
    {

## PyFor.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                dvdme
                / PyFor.md
            
            
              Last active
              September 3, 2016 16:17
            
          
    External modules, requests, json, list comprehension and (simple) webservers


In this part we will talk about how to install external modules, installing and using
one of the most popular ones, requests, that is used to make http requests.

Install the requests module
pip install requests

  
## past_weather_data.py
from forecastiopy import *

apikey = 'YOUR_APY_KEY'

Lisbon = [38.7252993, -9.1500364]
Madrid = [40.383333, -3.666667]
Paris = [48.866667, 2.332778]


def print_icon(lat, lon):

## forecastiopy-daily-example.py
from forecastiopy import *

apikey = 'YOUR_API_KEY'

Lisbon = [38.7252993, -9.1500364]

# 'units', 'lang' and 'exclude' options are optional but it is nice to ensure that
# the reply comes in correct language and unit. Setting the 'exclude' option
# reduces the reply size. If ou don't need the data, don't ask for it.

## forecastiopy-daily-example2.py
from forecastiopy import *

apikey = 'YOUR_APY_KEY'

Lisbon = [38.7252993, -9.1500364]

# 'units', 'lang' and 'exclude' options are optional but it is nice to ensure that
# the reply comes in correct language and unit. Setting the 'exclude' option
# reduces the reply size. If ou don't need the data, don't ask for it.
	"""
	Example usage of the function `group_json_by_key`
	"""
	import json

	JSON_EXAMPLE_STR = """
	{
	"color": {
	"0": "yellow",
	"1": "red"
	#!/bin/bash

	# Install with instructions from Docker
	apt-get remove docker docker-engine docker.io containerd runc
	apt-get update
	apt-get install \
	apt-transport-https \
	ca-certificates \
	curl \
	gnupg-agent \
	public static class ListExtension
	{
	/// <summary>
	/// Creates a single flat list from a list of lists input.
	/// </summary>
	/// <typeparam name="T"></typeparam>
	/// <param name="inListOfLists"></param>
	/// <returns>A single flatten list from a list of lists input</returns>
	public static List<T> Flatten<T>(this List<List<T>> inListOfLists)
	{
	from forecastiopy import *

	apikey = 'YOUR_APY_KEY'

	Lisbon = [38.7252993, -9.1500364]
	Madrid = [40.383333, -3.666667]
	Paris = [48.866667, 2.332778]


	def print_icon(lat, lon):
	from forecastiopy import *

	apikey = 'YOUR_API_KEY'

	Lisbon = [38.7252993, -9.1500364]

	# 'units', 'lang' and 'exclude' options are optional but it is nice to ensure that
	# the reply comes in correct language and unit. Setting the 'exclude' option
	# reduces the reply size. If ou don't need the data, don't ask for it.