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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’...
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Python Syntax Errors Cheat Sheet

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Here's is the Python syntax errors cheat sheet. In Python, you can avoid errors, if you know syntax rules. These are missing semicolons, adding extra commas, and extra spaces. Further Python is case sensitive. So using the wrong identifier also will give error.

Python syntax cheat sheet


Python Syntax Errors Cheat Sheet

Indentation is unique to Python. You cannot find strict indentation in any other programming language. You need to focus on the three areas while writing a Python program. To avoid errors you need to learn indentation rules.

  • Indentation or Syntax Errors
  • Exceptions
  • Handling Exceptions

1: Indentation

If you do not follow the proper order, you will get an error. The details of one block shroud follow in one vertical line.

The sub-block should be inside of that. In if loop, the IF, ELIF, and ELSE should have the same indentation. Not only, but the statement inside of them should also have the same indentation.

Best Examples

Understand these examples a good material on indentation for you.

2: Exceptions


Python raises an exception, when it encounters an error. These are called system errors.

Python has many built-in exceptions. One best example is ZeroDivisionError

More exceptions all list in one place.

3: Handling Exceptions


To handle exception you need two blocks which are Try and Except. Try Block is the block where you can give your code. Except is the Block where your exception message comes here.

Python Syntax Example:

try:
d = int(20)
f = str
g = d + f
except TypeError:
  print('This is TypeError Exception')
else :
  print('No exception happened')

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