Showing posts with the label Global job board

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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 | USA Jobs -

SrinimfJobs is a global leader in connecting people to jobs, wherever they are. For more than 6 years, SrinimfJobs has helped people improve their lives with better jobs, and employers find the best talent.  SrinimfJobs Today, the company offers services in more than 40 countries, providing some of the broadest, most sophisticated job seeking, career management, recruitment and talent management capabilities. SrinimfJobs continues its pioneering work of transforming the recruiting industry with advanced technology using intelligent digital, social and mobile solutions, including our flagship website and a vast array of products and services. SrinimfJobs pioneered the business of digital recruiting in 2014, and today we are the only online recruitment provider able to serve our customers on a truly global basis. In addition to our broad portfolio of global Web sites, Srinimfjobs offers valuable online advertising space on category leading properties.  As we