This guide shows how to configure Cursor IDE specifically for efficient Java development, leveraging powerful AI assistance, optimal settings, and essential extensions.
Configure AI features via Command Palette (Cmd/Ctrl + K):
This guide shows how to configure Cursor IDE specifically for efficient Java development, leveraging powerful AI assistance, optimal settings, and essential extensions.
Configure AI features via Command Palette (Cmd/Ctrl + K):
brew reinstall pkg-config icu4c| 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) |
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:
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
| 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(); |
| 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; | |
| /** |
| /** | |
| * 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, |
| 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; |
| <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 () { |
| '''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. | |