✨ Unpacking the remaining elements 🧩

Sometimes you need to extract the first and last elements from a list, while grouping everything in the middle separately. Instead of struggling with slicing ([1:-1]), use the asterisk (*). ⭐️

data = ["CEO", "Middle Python Dev", "Junior Dev", "QA", "HR"]

# The asterisk automatically collects everything "extra" into a separate list.
boss, *team, hr = data

print(boss)    # CEO
print(team)    # ['Middle Python Dev', 'Junior Dev', 'QA']
print(hr)      # HR

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Cheat sheet on Python Frameworks:

Django: A full-featured web framework with built-in ORM, admin panel, and security features.

Flask: A lightweight microframework with a minimal set of features and high flexibility.

ORM & Admin: Built-in to Django, but need to be connected separately in Flask.

Security: Django has built-in security mechanisms, while in Flask, they need to be configured manually.

Testing: Django offers built-in testing tools, while Flask relies on third-party libraries.

Use Cases: Django is suitable for large and complex projects, while Flask is better for small applications, APIs, and prototypes.

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🐱 Awesome Python Typing — Everything for Learning Typing in Python! 🐍✨

If you want to understand type annotations in Python, this repository is definitely worth saving. It contains the best articles, books, tools, libraries, and other materials dedicated to typing and its use in real-world projects. 💻📚

Here's the link: GitHub 📱
https://github.com/typeddjango/awesome-python-typing

https://github.com/typeddjango/awesome-python-typing

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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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Function

pprint()
pprint()

is designed for pretty-printed, formatted output in Python. 🐍

It automatically formats complex data structures, such as nested lists, dictionaries, and tuples, by adding indentation and line breaks for improved readability. ✨

Features:
• Supports customization of the output width for convenient formatting.
• Includes depth and compact parameters to control the level of nesting and display compactness.
• Available through the standard pprint module in the Python library. 💻

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httptap

This is a command-line tool that breaks down an HTTP request into individual stages: DNS resolution, TCP connection, TLS handshake, and data transfer.

It generates a detailed waterfall timeline, which allows you to quickly identify which stage of the request is causing the delay.

📁 Language: #Python 99%

⭐️ Stars: 526

More: https://github.com/ozeranskii/httptap

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