| import gym | |
| import numpy as np | |
| import random | |
| import math | |
| from time import sleep | |
| ## Initialize the "Cart-Pole" environment | |
| env = gym.make('CartPole-v0') |
| import requests | |
| import subprocess | |
| import json | |
| import sys | |
| import threading | |
| import time | |
| from Queue import Queue | |
| import urllib3 | |
| import urllib3.contrib.pyopenssl |
| <p class="love">Made with <i class="icon ion-heart"></i> by Brian Gardner</p> |
| from flask import Flask, request | |
| from nameko.standalone.rpc import ServiceRpcProxy | |
| app = Flask(__name__) | |
| @app.route('/') | |
| def task_list(): | |
| return """ | |
| <html> |
| --3demo | |
| --simple 3d demo | |
| -- Here is the data for the 3d model | |
| -- The first section is the 3d location | |
| -- of each point on the cube, and the | |
| -- second section is the lines that | |
| -- connect the points | |
| cube = {{{-1,-1,-1}, -- points | |
| {-1,-1,1}, |
| ''' | |
| You should try libtorrent (rasterbar). http://libtorrent.org | |
| If you want to write your client in python, on linux, install it with: | |
| sudo apt-get install python-libtorrent | |
| A very simple example of python code to use it to download a torrent: | |
| ''' | |
| import libtorrent as lt |
| <?php | |
| /** | |
| * Plugin Name: My Facebook Tags | |
| * Plugin URI: http://danielpataki.com | |
| * Description: This plugin adds some Facebook Open Graph tags to our single posts. | |
| * Version: 1.0.0 | |
| * Author: Daniel Pataki | |
| * Author URI: http://danielpataki.com | |
| * License: GPL2 | |
| */ |
| ''' | |
| Most heatmap tutorials I found online use pyplot.pcolormesh with random sets of | |
| data from Numpy; I just needed to plot x, y, z values stored in lists--without | |
| all the Numpy mumbo jumbo. Here I have code to plot intensity on a 2D array, and | |
| I only use Numpy where I need to (pcolormesh expects Numpy arrays as inputs). | |
| ''' | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| #here's our data to plot, all normal Python lists |
Cython has two major benefits:
Cython gains most of it's benefit from statically typing arguments. However, statically typing is not required, in fact, regular python code is valid cython (but don't expect much of a speed up). By incrementally adding more type information, the code can speed up by several factors. This gist just provides a very basic usage of cython.
Have you ever wanted to get a specific data from another website but there's no API available for it? That's where Web Scraping comes in, if the data is not made available by the website we can just scrape it from the website itself.
But before we dive in let us first define what web scraping is. According to Wikipedia:
{% blockquote %} Web scraping (web harvesting or web data extraction) is a computer software technique of extracting information from websites. Usually, such software programs simulate human exploration of the World Wide Web by either implementing low-level Hypertext Transfer Protocol (HTTP), or embedding a fully-fledged web browser, such as Internet Explorer or Mozilla Firefox. {% endblockquote %}
