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Best Practices for Handling Duplicate Elements in Python Lists

Here are three awesome ways that you can use to remove duplicates in a list. These are helpful in resolving your data analytics solutions.  01. Using a Set Convert the list into a set , which automatically removes duplicates due to its unique element nature, and then convert the set back to a list. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = list(set(original_list)) 02. Using a Loop Iterate through the original list and append elements to a new list only if they haven't been added before. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = [] for item in original_list:     if item not in unique_list:         unique_list.append(item) 03. Using List Comprehension Create a new list using a list comprehension that includes only the elements not already present in the new list. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = [] [unique_list.append(item) for item in original_list if item not in unique_list] All three methods will result in uni

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.


  • 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


  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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