Pythonic

list comprehensions

• Provide a concise way to create lists base on existing list by applying expressions and filtering conditions
• list comprehension syntax

[ expression for item in iterable if condition ]

set comprehensions

• similar to list comprehensions but produces a set instead of list

{ expression for item in iterable if condition }

dictionary comprehensions

• similar to list and set, but you define both key and value for each element

{ key_expression: value_expression for item in iterable if condition }

• Refer Here for expressions

Exercise:

• Try to find all the files in your downloads folder which are greater than 1 MB (python)

path = Path(r"C:\Users\Dell\Downloads")
[ item for item in Path(r"C:\Users\Dell\Downloads").rglob("*") if  item.is_file() and item.stat().st_size > 1048576 ]

Type Hinting

• Type hinting uses the typing module to specify the expected types of function arguments and return values Refer Here for cheatsheet and Refer Here for article
• Refer Here for the jupyter notebook

Code coverage

• Refer Here for how to do code coverage
• Code coverage gives us metrics on how much of development code is covered by test code
• Refer Here for the changes

Building cli applications in Python

• lets use argparse module
• Refer Here for the cli application