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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’...

Excel: 10 Key Topics You Need to Learn

The below-listed topics help you get a solid footing in Excel Analytics. Just practice these 10 topics step by step and by completing all, you will be an expert in Excel.

Topics you need to learn in Excel
10 Top Excel Topics

  1. Tables in Excel 
  2. Grabbing data from external sources 
  3. Cleaning data with functions 
  4. Working with Pivot tables 
  5. Writing Formulae for Pivot tables 
  6. Pivot Charts 
  7. How to use database functions 
  8. How to use statistics 
  9. Inferential Statistics 
  10. Descriptive statistics

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