cjnolet

frankie567

import asyncio

import streamlit as st
from httpx_oauth.clients.google import GoogleOAuth2

st.title("Google OAuth2 flow")

"## Configuration"

client_id = st.text_input("Client ID")

lexnederbragt

Tools to generate Jupyter Notebooks from plain (markup) text files:

(Originally posted on twitter, here incorporating responses)

pandoc

As of version 2.6, there is provisional support for using pandoc using jupyter notebookss (.ipynb files) as input and output format.

Notedown

Markdown to Jupyter Notebook, and back https://github.com/aaren/notedown

seanjtaylor

DragonBe

I posted several talks about compiling PHP from source, but everyone was trying to convince me that a package manager like Homebrew was a more convenient way to install.

The purpose of Homebrew is simple: a package manager for macOS that will allow you to set up and install common packages easily and allows you to update frequently using simple commands.

I used a clean installation of macOS Sierra to ensure all steps could be recorded and tested. In most cases you already have done work on your Mac, so chances are you can skip a few steps in this tutorial.

Apache and PHP with homebrew

I’ve made this according to the installation instructions given on GetGrav.

stefansundin

# http://docs.python-requests.org/en/master/api/
import requests

class RequestsApi:
    def __init__(self, base_url, **kwargs):
        self.base_url = base_url
        self.session = requests.Session()
        for arg in kwargs:
            if isinstance(kwargs[arg], dict):
                kwargs[arg] = self.__deep_merge(getattr(self.session, arg), kwargs[arg])

smeschke

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import csv

#get list of temple name, location, dedication data, lat, and lon
path = '/home/sm/Desktop/temple_data.csv'
temples = [] #create a list to store the temple data from the spread sheet
with open(path, 'rb') as csvfile: #open the csv file
    temple_data = csv.reader(csvfile, delimiter=',', quotechar='"') #load temple data
    for temple in temple_data: #iterate through data to change year to int

paulirish

Option 1: Command-line download extension as zip and extract

extension_id=jifpbeccnghkjeaalbbjmodiffmgedin   # change this ID
curl -L -o "$extension_id.zip" "https://clients2.google.com/service/update2/crx?response=redirect&os=mac&arch=x86-64&nacl_arch=x86-64&prod=chromecrx&prodchannel=stable&prodversion=44.0.2403.130&x=id%3D$extension_id%26uc" 
unzip -d "$extension_id-source" "$extension_id.zip"

Thx to crxviewer for the magic download URL.

chrismdp

# You don't need Fog in Ruby or some other library to upload to S3 -- shell works perfectly fine
# This is how I upload my new Sol Trader builds (http://soltrader.net)
# Based on a modified script from here: http://tmont.com/blargh/2014/1/uploading-to-s3-in-bash

S3KEY="my aws key"
S3SECRET="my aws secret" # pass these in

function putS3
{
  path=$1

keithshep

#!/usr/bin/env python -O

import argparse
import sys
import numpy
import h5py
import csv

class ColType:
    UNKNOWN = 1