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Scraping Website: How to Write a Script in Python

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

Data science these IT skills you need to learn to get job

The most lucrative analytics skills include MapReduce, Apache Pig, Machine Learning, Apache Hive and Apache Hadoop.

Machine learning, big data, and data science skills are the most challenging to recruit for and potentially can create the greatest disruption to ongoing product development and go-to-market strategies if not filled.
In demand IT skills
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Great in demand it skills...
  1. Big Data (Information Technology): 3,977%
  2. Node.js (Design): 2,493%
  3. Tableau (Research and Analysis): 1,581%
  4. NoSQL (Information Technology): 1,002%
  5. Apache Hadoop (Information Technology): 704%
  6. HTML5 (Information Technology): 612%
  7. Python (Research and Analysis): 456%
  8. Oracle (Sales): 382%
  9. JSON (Information Technology): 318%
  10. Salesforce CRM (Sales): 292%


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