ldong

Download videos from egghead

Go to the egghead website, i.e. Building a React.js App

run

$.each($('h4 a'), function(index, video){
  console.log(video.href);
});

rluts

from channels.auth import AuthMiddlewareStack
from rest_framework.authtoken.models import Token
from django.contrib.auth.models import AnonymousUser
from django.db import close_old_connections


class TokenAuthMiddleware:
    """
    Token authorization middleware for Django Channels 2
    """

iHassan

 
=============================
**http://kickass.to/infiniteskills-learning-jquery-mobile-working-files-t7967156.html
**http://kickass.to/lynda-bootstrap-3-advanced-web-development-2013-eng-t8167587.html
**http://kickass.to/lynda-css-advanced-typographic-techniques-t7928210.html
**http://kickass.to/lynda-html5-projects-interactive-charts-2013-eng-t8167670.html
**http://kickass.to/vtc-html5-css3-responsive-web-design-course-t7922533.html
*http://kickass.to/10gen-m101js-mongodb-for-node-js-developers-2013-eng-t8165205.html
*http://kickass.to/cbt-nuggets-amazon-web-services-aws-foundations-t7839734.html

chetanppatil

#!/bin/bash

# Download Postman
cd /tmp || exit
echo "Downloading Postman..."
wget -q https://dl.pstmn.io/download/latest/linux?arch=64 -O postman.tar.gz

# Extract and install Postman to /opt
echo "Extracting and installing to /opt..."
sudo tar -xzf postman.tar.gz -C /opt/

paduvi

import torch
import torch.nn as nn
import torch.nn.init as init

dropout_prob = 0.5


class FlatCnnLayer(nn.Module):
    def __init__(self, embedding_size, sequence_length, filter_sizes=[3, 4, 5], out_channels=128):
        super(FlatCnnLayer, self).__init__()

zacstewart

import os
import numpy
from pandas import DataFrame
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn.pipeline import Pipeline
from sklearn.cross_validation import KFold
from sklearn.metrics import confusion_matrix, f1_score

NEWLINE = '\n'

bistaumanga

# -*- coding: utf-8 -*-
"""
Created on Sat May  3 10:21:21 2014

@author: umb
"""

import numpy as np
    
class GMM:

eamartin

anchetaWern

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 %}

rednafi

import json
import os
import sys
from datetime import timedelta

import httpx
import redis
from dotenv import load_dotenv
from fastapi import FastAPI
from asgiref.sync import sync_to_async