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Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

3 matches
Lists & loops easy

How to Flatten a Deeply Nested List in Python Recursively

A recursive function that flattens arbitrarily deep nested lists into a single flat list using isinstance checks.

recursion flatten lists
Python
def flatten(nested_list):
    if not nested_list:
        return []
    if isinstance(nested_list[0], list):
        return flatten(nested_list[0]) + flatten(nested_list[1:])
    return [nested_list[0]] + flatten(nested_list[1:])


if __name__ == "__main__":
    data = [1, [2, [3, [4, [5]]]], [6, [7, [8, [9]]]], 10]
 …
13 0 Open
Dictionaries & sets easy

How to Check Data Type and Inspect Dictionaries and Sets in Python

Inspect dictionaries and sets by printing their contents, types, and sizes using a small helper function.

dictionaries sets isinstance
Python
def check_data(data):
    """Helper to inspect dictionaries and sets."""
    if isinstance(data, dict):
        print(f"Dictionary with {len(data)} keys")
        for key, value in data.items():
            print(f"  {key}: {value} ({type(value).__name__})")
    elif isinstance(data, set):
        print(f"Set with {le…
13 0 Open
OOP & classes easy

How to Validate Data Types in Python with a Class

A beginner-friendly Python class that checks if a value is a string, integer, float, list, or empty, using simple methods and isinstance checks.

class validation type checking
Python
class DataValidator:
    """A simple data validation helper for beginners."""
    
    def __init__(self, data):
        self.data = data
    
    def is_string(self):
        return isinstance(self.data, str)
    
    def is_integer(self):
        return isinstance(self.data, int) and not isinstance(self.data, bool)
…
13 0 Open

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Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.