Getting Interesting and useful information from World Wide Web
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Updated
Dec 2, 2017 - Jupyter Notebook
Getting Interesting and useful information from World Wide Web
Web scrapping using beautiful soup
Assignment: Create a program to prompt for a URL, read the XML data from that URL using urllib and then parse and extract the comment counts from the XML data, compute the sum of the numbers in the file. The data consists of a number of <name>s and comment <count>s in XML. You are to look through all the <comment> tags and find the <count> value…
Scraping using Pyhton
Simple telegram bot that sends you schedule of anime from AniLibria site.
Detecting Malicious URLs using hybrid ensemble learning model
Program for getting weather update using Python
Assignment: Use urllib to read the HTML from the data files, and parse the data, extracting numbers and compute the sum of the numbers in the file.The file is a table of names and comment counts. You can ignore most of the data in the file except for lines like the following: “<tr><td>Modu</td><td><span class="comments">90</span></td></tr>.” You…
Assignment: Use urllib to read the HTML from the data file, extract the href= values from the anchor tags, scan for a tag that is in a particular position relative to the first name in the list, follow that link and repeat the process a number of times and report the last name you find. Use url: http://py4e-data.dr-chuck.net/known_by_Ritchie.html.…
These are my solutions to the Extracting Data from XML and JSON assignments for Chapter 13 of Python for Everybody
A python script which downloads all images of a given website(s)
Tracks Price of Item in www.amazon.in and sends emails after fixed intervals.
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