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Scraping Website: How to Write a Script in Python

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Here's a python script that you can use as a model to scrape a website. Python script The below logic uses BeautifulSoup Package for web scraping. import requests from bs4 import BeautifulSoup url = 'https://www.example.com' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') # Print the title of the webpage print(soup.title.text) # Print all the links in the webpage for link in soup.find_all('a'):     print(link.get('href')) In this script, we first import the Requests and Beautiful Soup libraries. We then define the URL we want to scrape and use the Requests library to send a GET request to that URL. We then pass the response text to Beautiful Soup to parse the HTML contents of the webpage. We then use Beautiful Soup to extract the title of the webpage and print it to the console. We also use a for loop to find all the links in the webpage and print their href attributes to the console. This is just a basic example, but
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Industrial IoT what GE says to improve Productivity

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GE is once a top company in Heavy Engineering. This is to say items related to Thermal Power plants, Turbines, and maintenance.

GE had always believed that since it knew the materials and the physics of its jet engines and medical scanners, no one could best it in understanding those machines.

GE Industrial Internet

 The aim is it should not share its data to third parties.
  1.    GE sets up its own IoT center.
  2.    GE is in IoT mood.
  3.    GE can improve operational efficiency by studying data from its machines like situated India and Russia. This is just an example.
Asset classification in analytics

 GE is Targetting for Predictive Maintenace

  • Improves industrial productivity
  • Based on criticality productivity will zoom if maintenance carried in-time.

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