mgramin

from flask import Flask, request
from flask_restful import Api, Resource
import osquery

class User(Resource):
    @staticmethod
    def get():
        instance = osquery.SpawnInstance()
        instance.open()
        query = request.args.get('query', default='', type=str)

abhioncbr

Apache Superset in the production environment

Visualising data helps in building a much deeper understanding of the data and fastens analytics around the data. There are several mature paid products available in the market. Recently, I explored an open-source product name Apache-Superset which I found a very upbeat product in this space. Some prominent features of Superset are:

• A rich set of data visualisations
• An easy-to-use interface for exploring and visualising data
• Create and share dashboards

After reading about Superset, I wanted to try it, and as Superset is a python programming language based project, we can easily install it using pip, but I decided to set it up as a container based on Docker. Apache-Superset GitHub Repo contains code for building and running Superset as a container. Since I wan

piyusht007

public class BaseQueryValidator {
    private static List<String> extractTableAliases(SqlNode node) {
        final List<String> tables = new ArrayList<>();

        // If order by comes in the query.
        if (node.getKind().equals(SqlKind.ORDER_BY)) {
            // Retrieve exact select.
            node = ((SqlSelect) ((SqlOrderBy) node).query).getFrom();
        } else {
            node = ((SqlSelect) node).getFrom();

hfs

import java.io.IOException;

import ucar.nc2.Attribute;
import ucar.nc2.Group;
import ucar.nc2.NetcdfFile;
import ucar.nc2.Variable;
import ucar.nc2.iosp.hdf5.H5iosp;
import ucar.nc2.util.DebugFlags;

/**

ambud

/**
 * Copyright 2016 Ambud Sharma
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 * 
 * 		http://www.apache.org/licenses/LICENSE-2.0
 * 
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

bdkosher

package bdkosher.datetime;

import java.util.Calendar;
import static java.util.Calendar.*;
import java.util.Date;
import java.util.Locale;
import java.util.SortedSet;
import java.util.TimeZone;
import java.util.TreeSet;

duncansmart

<textarea name="my-xml-editor" data-editor="xml" rows="15"></textarea>
...
<textarea name="my-markdown-editor" data-editor="markdown" rows="15"></textarea>
...

<script src="//d1n0x3qji82z53.cloudfront.net/src-min-noconflict/ace.js"></script>
<script>
    // Hook up ACE editor to all textareas with data-editor attribute
    $(function () {

signed0

'''Provides utility functions for encoding and decoding linestrings using the 
Google encoded polyline algorithm.
'''

def encode_coords(coords):
    '''Encodes a polyline using Google's polyline algorithm
    
    See http://code.google.com/apis/maps/documentation/polylinealgorithm.html 
    for more information.