KaiLicht

vinayak-mehta

ipedrazas

kubectl get pods | grep Evicted | awk '{print $1}' | xargs kubectl delete pod

chriddyp

import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import pandas as pd

app = dash.Dash()

df = pd.read_csv(
    'https://gist.githubusercontent.com/chriddyp/'

chriddyp

# See official docs at https://dash.plotly.com
# pip install dash pandas

from dash import Dash, dcc, html, Input, Output
import plotly.express as px

import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv')

aparrish

jonathancallahan

#' @name logger.setup
#' @export
#' @title Set Up Python-Style Logging
#' @param traceLog file name or full path where \code{logger.trace()} messages will be sent
#' @param debugLog file name or full path where \code{logger.debug()} messages will be sent
#' @param infoLog file name or full path where \code{logger.info()} messages will be sent
#' @param warnLog file name or full path where \code{logger.warn()} messages will be sent
#' @param errorLog file name or full path where \code{logger.error()} messages will be sent
#' @param fatalLog file name or full path where \code{logger.fatal()} messages will be sent
#' @return No return value.

bluekvirus

How To Serve Flask Applications with uWSGI and Nginx on Ubuntu 14.04

@credit Yan Zhu (https://github.com/nina-zhu)

Introduction

Flask is a microframework for Python based on Werkzeug, Jinja 2 and good intentions, it can help you get your Python application or website off the ground. Flask includes a simplified development server for testing your code locally, but for anything even slightly production related, a more secure and powerful web server is required.

In this guide, we will demonstrate how to install and configure some components on Ubuntu 14.04 to support and serve Flask applications. We will configure the uWSGI application container server to interface with our applications. We will then set up Nginx to reverse proxy to uWSGI, giving us access to its security and performance features to serve our apps.

Prerequisites and Goals

rvanbruggen

//LOAD CSV script for GFTS data
create constraint on (a:Agency) assert a.id is unique;
create constraint on (r:Route) assert r.id is unique;
create constraint on (t:Trip) assert t.id is unique;
create index on :Trip(service_id);
create constraint on (s:Stop) assert s.id is unique;
create index on :Stoptime(stop_sequence);
create index on :Stop(name);

schema await

michael-erasmus

import os
import math
import re
import pandas as pd
from collections import Counter
from sklearn.datasets import fetch_20newsgroups

#get a subset of the dataset

categories = [