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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

India is gearing for awesome Data Analytics Jobs

There is no surprise in India, all companies started building Data analytics team and infrastructure. With a lot of Indian companies building their data analytics team, the requirement in the domestic market for this skill will increase over the next couple of years.

The requirement for Data Analytics

  •  There will be an increased demand for data analytics professionals.
  • Industry experts believe that currently big data and analytics is one of the top three skills in demand in India. 
  • Organizations are looking at their internal set of data to understand the business better – as a result, there will be an explosion of various job opportunities in this area.
Top three segments where huge demand for data analytics engineers are Data Science, Statistics, Technical specialists with multiple skills.

Top Demand Roles in Data Analytics

  • Some of the requirements are for tech personnel, statistician, econometrician, data scientist, analytical consultant, functional consultant, etc. 
  • However, there is a short supply of data scientists, according to experts, followed by a functional consultant. 
  • Industries in Utilities and Manufacturing will be the next set to invest in Big Data.


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