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Mastering flat_map in Python with List Comprehension

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Introduction In Python, when working with nested lists or iterables, one common challenge is flattening them into a single list while applying transformations. Many programming languages provide a built-in flatMap function, but Python does not have an explicit flat_map method. However, Python’s powerful list comprehensions offer an elegant way to achieve the same functionality. This article examines implementation behavior using Python’s list comprehensions and other methods. What is flat_map ? Functional programming  flatMap is a combination of map and flatten . It transforms the collection's element and flattens the resulting nested structure into a single sequence. For example, given a list of lists, flat_map applies a function to each sublist and returns a single flattened list. Example in a Functional Programming Language: List(List(1, 2), List(3, 4)).flatMap(x => x.map(_ * 2)) // Output: List(2, 4, 6, 8) Implementing flat_map in Python Using List Comprehension Python’...

5 Tableau Features Useful for Data Analytics

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Below are the top Tableau features for data analytics. Tableau 9 for Data Science engineers. CONNECTING TO LOCAL FILE  Tableau can connect to any local file or database such as Excel  Text File Access  Statistical File, or  Another Database file CONNECTING TO SERVER Tableau can connect to your data server too. It can connect to almost any type of data server. Below are some of the most popular databases that Tableau can connect: Tableau Server Google Analytics Google BigQuery Hortonworks Hadoop Hive MapR Hadoop Hive IBM DB2 IBM BigInsights IBM Netezza Microsoft SQL Server Microsoft Analysis Services Oracle Oracle Essbase MySQL PostgreSQL SAP While working on Tableau, data can have Live Connection where any change in the source data will be automatically updated in Tableau. On the other hand, data can be Extracted to the Tableau repository so that any change made here will not affect the original source data. CONNECTING TO EXCE...