Python allows you to create enumerations that are also regular strings!

Previously, when working with APIs, JSON, and configurations, it was often necessary to manually extract the value from an Enum.

For example:

class Status(Enum):
    ACTIVE = "active"

When serializing, you would get an enumeration object:
Status.ACTIVE

rather than a regular string:
"active"

In Python 3.11, StrEnum was introduced to solve this problem.

from enum import StrEnum

class Status(StrEnum):
    ACTIVE = "active"
    BLOCKED = "blocked"

Now, the value can be used wherever a string is expected:

json.dumps({"status": Status.ACTIVE})

The result:
{"status": "active"}

At the same time, the advantages of enumerations are preserved:
Status.ACTIVE
Status.BLOCKED

You cannot accidentally pass an incorrect value:
Status("unknown")

will result in an error.

🔥 StrEnum allows you to combine the strict typing of enumerations with the convenience of regular strings, without manual conversion when working with APIs, JSON, and configurations.

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How to check if a string is printable in Python 🤯

>>> "123".isprintable()
True

>>> "abc".isprintable()
True

>>> "\t
".isprintable()
False

# Python string method .isprintable()
>>> "123".isprintable()
True
>>> "abc".isprintable()
True
>>> "\t
".isprintable()
False

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collections.ChainMap — a built-in Python class that combines multiple dictionaries or other mappings into a single, updatable view. 🧠

Instead of merging dictionaries and creating new data structures in memory, it links them by reference, allowing you to search and manage them as a single entity. 🔗

# Example usage of collections.ChainMap
from collections import ChainMap

dict1 = {'a': 1, 'b': 2}
dict2 = {'b': 3, 'c': 4}
combined = ChainMap(dict1, dict2)
print(combined['b'])  # Output: 2

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