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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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Real thoughts on IBM power8 servers to use on analytics

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All About IBM Big data Server Models

IBM Servers

International Business Machines Corp, in its latest attempt at reviving demand for its hardware products, is launching high-end system servers that it says are 50 times faster than its closest competitor at analysing data. 

  • The POWER8 servers, the product of a $2.4 billion, three-year investment, are part of the company's decade-long shift to higher-value hardware technology.  
  • IBM said the machines are 50 times faster than the low-end x86-based servers it sold to Chinese PC maker Lenovo Group Ltd in January. 
  • The technology services provider said on Wednesday it hopes the servers, designed for large-scale computing, will appeal to clients looking to manage new types of social and mobile computing and mass amounts of data.
Last week, the company reported its lowest quarterly revenue in five years, weighed down by falling demand for its storage and server products.

IBM dominates the higher-end server market with 57 percent market share, according to research firm Canalys. "For IBM customers in particular the POWER8 represents a generational jump forward so far as overall performance and system capacity goes," said Charles King, an analyst at Pund-IT in California.

"POWER8 should help IBM move forward in this very cloud-centric, analytic path that it has been working on," he said. Read more

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