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    What module would you use if you wanted to parse command-line arguments to your Python script?

    The argparse module. For example:

    import argparse
parser = argparse.ArgumentParser(description='Process some integers.')
parser.add_argument('integers', metavar='N', type=int, nargs='+', help='an integer for the accumulator')
parser.add_argument('--sum', dest='accumulate', action='store_const', const=sum, default=max, help='sum the integers (default: find the max)')
args = parser.parse_args()

    What module would you use if you wanted to manually trigger a garbage collection to free up memory?

    The gc module. For example:

    import gc

gc.collect()

    What module would you use if you wanted to terminate a script prematurely?

    The sys module. For example:

    import sys
sys.exit()

    What module would you use if you wanted to get a list of all Mondays in a month?

    The calendar module. For example:

    >>> import calendar
>>> year = 2023
>>> month = 4
>>> ndays = calendar.monthrange(year, month)[1]
>>> mondays = [
>>>     day
>>>     for day in range(1, ndays + 1)
>>>     if calendar.weekday(year, month, day) == calendar.MONDAY
>>> ]
>>> print(mondays)
[3, 10, 17, 24]

    What module would you use if you wanted to analyze a script to find the set of modules imported by it?

    The modulefinder module. For example:

    from modulefinder import ModuleFinder
finder = ModuleFinder()
finder.run_script('your_script.py')
print('Loaded modules:', finder.modules)

    What module would you use if you wanted to determine the execution time of a small code snippet?

    The timeit module. For example:

    import timeit
timeit.timeit('char in text', setup='text = "sample text"; char = "e"', number=10000)

    What module would you use if you wanted to define a named, unique set of values to represent states, types, settings, etc.?

    The enum module. For example:

    from enum import Enum
class Color(Enum):
    RED = 1
    GREEN = 2
    BLUE = 3

    What module would you use if you wanted to verify that a function returns expected results for given inputs?

    The unittest module. For example:

    import unittest

class TestSum(unittest.TestCase):
    def test_sum(self):
        self.assertEqual(sum([1, 2, 3]), 6, "Should be 6")

if __name__ == '__main__':
    unittest.main()

    What module would you use if you wanted to hint that a variable could either be an integer or None?

    The typing module. For example:

    from typing import Optional

number: Optional[int] = None

    What module would you use if you wanted to securely hash passwords for storage in a database?

    The hashlib module. For example:

    import hashlib

password = 'secret_password'.encode()
hashed_password = hashlib.sha256(password).hexdigest()

    However, rolling your own solution for password storage is generally discouraged. Check the OWASP guidelines if that's what you want to do it.



    The decks

    A Tour of the Standard Library (285 cards)
    Free

    The Python standard library is big, but how big is it? Did you know you can do low-level network communications with socket? And measure the execution time of code with timeit? Have you ever analyzed the syntax tree of a Python code with ast or drawn a plot with turtle? It even has a full sqlite3 implementation!

    Get a grasp of all the functionality just one import away.

    pathlib in depth (137 cards)
    $ 9.99

    The pathlib library offers the most convenient way of managing files and file paths in Python. Learn its full power and master its API.

    Peter Norvig's pytude tricks
    Coming soon

    If you have ever read Peter Norvig's code from his pytudes, you will agree that his code is odd, surprisingly clear and insultingly concise.

    In this deck, we have collected dozens of tricks in Pytudes so you can come closer to his genius.

    Nomenclature
    Coming soon

    Learn the concepts and words of Python: type hints, context managers, methods, comprehensions, generic functions…

    Knowing the words is a first step towards a complete mental model of Python.

    Built-ins
    Coming soon

    Built-in functions are always available in Python without needing to import them. We are talking about print, range, enumerate, but also isinstance, map and staticmethod.

    The list is short, but holds huge power.

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