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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

QlikView Server vs Publisher Top Differences Really Useful to Your Project

The differences between QlikView Server and publisher, I have given for your reference. These are related to internally how differ each other.




QLIKVIEW SERVER


  • The QVS is a server-side product. It contains an in-memory analytics engine, which handles all client/server communication between a QlikView client (Desktop, IE plugin, AJAX, or Mobile) and the server.
  • The Administrator can have access to the management console to control all aspects of the server deployments (including security, clustering, distribution, etc.) 
  • It also includes a web server to provide front-end access to the documents within.
  • The web server’s user portal is known as Access Point. (It’s important to note that while the QVS contains its web server, one can utilize Microsoft IIS (Internet Information Server) for this purpose, too).
  • The QVS handles client authorization against existing directory providers (Microsoft Active Directory, eDirectory)
  • It also performs read and write to ACLs (access control lists) for QVW documents.



QlikView Server vs Publisher
Qlikview

QLIKVIEW PUBLISHER


  1. The QlikView Publisher is a server-side product.
  2. It can use to load data directly from data sources defined via connection strings in the source QVW files. 
  3. It is also used as a distribution service to reduce data and applications from source QVW files based on various rules (such as user authorization or data access privileges) and to distribute these newly-created documents to the appropriate QlikView Servers or as static PDF reports via email.
  4. Data sources that you can access in QlikView are standard ODBC (OLEDBcompliant databases), standard flat files ( Microsoft Excel and XML), and from systems such as SAP NetWeaver, Salesforce.com, and Informatica.

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