Showing posts with the label teradata

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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

Teradata: Key Role in Telecommunication Analytics

Teradata, a US analytics solutions and applications provider, has said that there is a growing market for next-generation analytics in India amid intense competition among telcos and growing mobile phone penetration. Insights Carriers with increasing consumer focus require next-generation analytics to unify data from both the traditional and Big Data environments and transform it into meaningful insights - on how subscribers are consuming their services and in turn how they can improve their marketing tactics for upselling, customer retention, and loyalty. And ever since mobile number portability ( MNP) - a facility that allows subscribers to retain their numbers despite switching operators - was introduced late 2010 in India, customer retention has become a key imperative for service operators such as Vodafone India, Idea Cellular, and Bharti Airtel. Telecom Analytics "With rising teledensity, ensuing competition, and falling average revenue-per-user, telcos will have to look b