| library(XML) | |
| #Import your list of IPs | |
| ip.addresses <- read.csv("ip-address.csv") | |
| #This is my API | |
| api.url <- "http://freegeoip.net/xml/" | |
| #Appending API URL before each of the IPs | |
| api.with.ip <- paste(api.url, ip.addresses$IP.Addresses ,sep="") |
| ###################################### Scraping Bdjobs.com ############################################## | |
| # For selecting css elements, I have used the Chrome Extension "SelectorGadget" along | |
| # with the "rvest" (version: 0.3.2) and "xml2" packages. | |
| # Machine Info : | |
| # R version 3.2.3 (2015-12-10) | |
| # Platform: x86_64-w64-mingw32/x64 (64-bit) | |
| # Running under: Windows 7 x64 (build 7600) | |
| # To check yours type version OR sessionInfo() |
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.
| pm2 start app.js --interpreter ./node_modules/.bin/babel-node |
| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
Install the React Developer Tools Chrome Extension.
Go to the egghead website, i.e. Getting Started with Redux
Click View -> Developer -> Javascript Console, then the React tab, then the <NextUpLessonList ...> tag.
Click back to the Console tab, then run:
With NLTK version 3.1 and Stanford NER tool 2015-12-09, it is possible to hack the StanfordNERTagger._stanford_jar to include other .jar files that are necessary for the new tagger.
First set up the environment variables as per instructed at https://github.com/nltk/nltk/wiki/Installing-Third-Party-Software
| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
Go to the egghead website, i.e. Building a React.js App
run
$.each($('h4 a'), function(index, video){
console.log(video.href);
});