Regular for-loops are versatile but not always optimal: they add extra interpreter overhead, which is especially noticeable on large data 🐍

In such cases, it's better to use standard Python tools, for example itertools ⚙️

For example, to get all unique pairs from a list, nested loops are not needed — just combinations():

from itertools import combinations

def get_unique_pairs(items):
    return list(combinations(items, 2))

print(get_unique_pairs(['A', 'B', 'C', 'D']))

# Output:
# [('A', 'B'), ('A', 'C'), ('A', 'D'), ('B', 'C'), ('B', 'D'), ('C', 'D')]

Conclusion: instead of manual loops, it's better to use ready-made tools from the standard library — it's cleaner and more efficient 🚀

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5 More Must-Know Python Concepts 🐍

Let's take a look at five more fundamental concepts that every Python developer should have in their toolkit. 🛠️

Read: https://www.kdnuggets.com/5-more-must-know-python-concepts 🔗

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The ternary operator in Python looks appealing, but it's easy to overdo it with it ::

'A' if s>=90 else 'B' if s>=80 else 'C' if s>=70 else 'F'

Just because the code can be compressed into one line, doesn't mean it's a good idea for readability.

When the logic starts to branch out (3+ conditions) — the usual if-elif-else becomes much more understandable and easier to maintain.

It's better to leave the ternary operator for simple and short cases:
• compact expressions in comprehensions
• small lambda functions
• simple one-line returns

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👍 Fluent Python — practical examples from one of the best Python books!

Here, the language's capabilities are explained, which many only know superficially. The material focuses not on basic syntax, but on a deep understanding and proper use of its capabilities in real projects. There are many examples of working with objects, collections, functions, decorators, generators, async code, and Python's internal logic.

I'll leave a link: https://github.com/fluentpython/example-code-2e

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✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
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Python there is a small convenience that not everyone knows about: in startswith and endswith you can pass an tuple of values directly

This allows you to check multiple options with one call, without long conditions and unnecessary code

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What's the difference between is and == in Python?

The == operator checks whether the values of two objects are equal. In contrast, is determines whether variables refer to same object in memory. That is, == compares the content, while is checks the identity of the objects 🐍🔍

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💡 Replacing if-else with Match-Case

Starting with Python 3.10, we have a powerful tool: Structural Pattern Matching (match-case). This is not just an analog of switch-case from other languages; it's much more flexible. 🚀

Imagine you're writing a command handler for a bot. 🤖

❌ How NOT to do it:

def handle_command(command):
    if command == "start":
        return "Hello! I'm a bot."
    elif command == "help":
        return "Here's a list of available commands..."
    elif command == "stop":
        return "Goodbye!"
    else:
        return "Unknown command."

⚡ How to do it properly:

def handle_command(command):
    match command:
        case "start":
            return "Hello! I'm a bot."
        case "help":
            return "Here's a list of available commands..."
        case "stop":
            return "Goodbye!"
        case _:  # The underscore symbol catches everything else (default)
            return "Unknown command."

The code looks like a clear table, and your eye doesn't get caught up in a bunch of elif statements. 🧐
You can pass data structures in the case statements and check their structure and content on the fly. 🔍
It's easy to combine cases. 🧩

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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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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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Python Tip 🐍

In Python, you can unpack both a string and a list using the same code. ✨

# Example usage
text = "abc"
lst = [1, 2, 3]
# Unpacking works similarly for both
a, b, c = text
x, y, z = lst

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