Learning overview
- Estimated time
- 4 minutes
- Difficulty
- Beginner
- Prerequisites
- No prior experience required
- Learning outcome
- Explain python using a clear mental model · Apply python in practical Python work
- Last updated
- July 18, 2026
Definition of Python
Python is a high-level, general-purpose programming language known for readable syntax, dynamic typing, automatic memory management, and a broad standard library.
Python source uses indentation to define blocks. Names refer to objects, and every object has a type and identity. The language supports procedural, functional, and object-oriented styles. CPython is the most common implementation, but Python language guarantees should be distinguished from CPython-specific behavior.
Python collection example
This example filters a list of dictionaries, extracts names, and joins the result using direct, readable collection operations.
courses = [
{"name": "Python", "published": True},
{"name": "Data Science", "published": False},
]
published_names = [
course["name"]
for course in courses
if course["published"]
]
print(", ".join(published_names))Output
Python
What to remember
Think in terms of names and objects rather than boxes that contain values. Assignment binds a name; mutation changes an object; copying creates another object according to shallow or deep semantics.
Frequently asked questions
Is Python interpreted or compiled?
Python implementations typically compile source to an intermediate form and execute it in a runtime. The exact pipeline depends on the implementation.
Is Python dynamically typed?
Yes. Objects have types, while names can be rebound to objects of different types. Optional type hints support static analysis without changing that core model.
What is CPython?
CPython is the reference and most widely used Python implementation, written primarily in C. Other implementations may make different runtime choices.
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