Python

What type of programming language is Python? High-level, general-purpose programming language.

Python emphasizing code readability through indentation.

What programming paradigms does Python support? Multi-paradigm: object-oriented, structured, functional, and aspect-oriented programming (including metaprogramming and metaobjects). Many other paradigms are supported via extensions, including design by contract and logic programming.

How does Python handle memory management? Uses dynamic typing, reference counting, and cycle-detecting garbage collection.

What is Python’s name resolution method called? Dynamic name resolution (late binding), which binds method and variable names during program execution.

What functional programming features does Python have? It has filter, map and reduce functions; list comprehensions, dictionaries, sets, and generator expressions. The standard library has two modules (itertools and functools) that implement functional tools borrowed from Haskell and Standard ML.

Is Python weakly or strongly typed? Python is strongly, dynamically typed.

• Strong typing means that the type of a value doesn’t change in unexpected ways. A string containing only digits doesn’t magically become a number, as may happen in Perl. Every change of type requires an explicit conversion.
• Dynamic typing means that runtime objects (values) have a type, as opposed to static typing where variables have a type.

Zen of python describes the philosophy of Python.

This is most prioritized language for me. I learn it according to my roadmap.

Python is a high-level, general-purpose programming language.

One of key features of Python is attention to readability, by using indentation to delimit code blocks, rather than curly brackets or keywords.

Python is [dynamically typed] and [garbage-collected].

It supports any popular programming paradigm:

• structured
• procedural
• object-oriented
• functional

Rich stdlib, it’s “batteries included” language.

I use collection of code snippets related to Python.

Learning path

I learn Python according to customized amaargiru ¹ pyroad developer roadmap, I place links to my notes related to Python in special excalidraw whiteboard, aviable in the spoiler below:

High-level overview of Python

python high level overview.excalidraw

Python high-level overview

List of materials to review with my notation:

• Brownlee_-_Python_Asyncio_Jump-Start

• Pydantic

• Ruff

• Vulture - Find dead code

• Task manager for asyncio | Taskiq

• RedBeat Celery Beat Scheduler

• Flask

• FastAPI

• FastStream

• HTTPX

• Ultimate Python study guide

• roadmap.sh - Python.

• Python cheat sheets

• Python Cheatsheet

• Python cheatsheet, to dive in into language itself.

• Python Wiki

• Python concurency

• Python

• ⬛ Documentation

• ⬛ Python cheat-sheet

• ⬛ Official Python tutorial

Core

• CS50’s Introduction to Programming with Python | Harvard University

• FAQ

• Glossary

• Standart library

• Python Developer’s Guide

• How to learn Python programming | Guido van Rossum and Lex Fridman - YouTube

• Matthes-Python crash course

• Python для сетевых инженеров paradigms function, imperative, oop

• Python Introduction - Learn By Example

• Think Python — Think Python

• Ramalho-Fluent Python

• Slatkin-Effective Python, general tips to write good Python code

• Python Classes: The Power of OOP – Real Python

• Sets in Python – Real Python, research article.

• Set Difference Python: Intersection, union and difference of Sets in Python. - DEV Community

• python - Meaning of @classmethod and @staticmethod

• Thoughts On @staticmethod Usage In Python - Julius Seporaitis

• The Ultimate Guide to Error Handling in Python - miguelgrinberg.com

• The Python Square Root Function – Real Python

• Context Managers and Python’s with Statement – Real Python

• Python decorators, research a topic

• Raymond Hettinger - Beyond PEP 8 — Best practices for beautiful intelligible code - PyCon 2015 - YouTube

• PEP 8 – Style Guide for Python Code

• Recursion in Python: An Introduction – Real Python

• Практика программирования на Python.

• awesome-python-typing

• Python dataclasses will save you HOURS, also featuring attrs - YouTube

• Python Decorators 101 – Real Python

• string — Common string operations — Python 3.13.0 documentation

• PEP 498 – Literal String Interpolation | peps.python.org

• Python’s F-String for String Interpolation and Formatting – Real Python

• Refactoring Python Applications for Simplicity – Real Python

• Скучный Python: повышаем качество кода / Хабр

• The Hitchhiker’s Guide to Python!

• A Python Guide to the Fibonacci Sequence.

• Detailed Videos - PythonByteSize

• The origins of Python

• Python Monorepo

• Ned Batchelder - Facts and Myths about Python names and values - PyCon 2015 - YouTube

• А как в питоне пайпать? — Development — Форум

• Blog - Full Stack Python

• The Complete Python course

• 30 Days of Python

Libraries and frameworks

• review

• Python Packaging User Guide

• A curated list of awesome Python frameworks, libraries, software and resources

• Python

• JupyterLite and pandas intro

• scipy - Fundamental algorithms for scientific computing in Python

• numpy - the fundamental package for scientific computing with Python

• Performance analysis for Python snippets

• A platform-independent file lock for Python.

• mistletoe: markdown parser in pure Python.

Python internals

• Obi - Inside The Python Virtual Machine
• JIT-компилятор Python в 300 строк / Habr
• CPython’s Garbage Collector and its Impact on Application Performance
• Глобальная блокировка интерпретатора (GIL) и её воздействие на многопоточность в Python / Хабр

Web frameworks

• Lubanovic-FastAPI
• GitHub - vishyarjun/rate_limiter_fastapi: API Rate Limiter built in FastAPI Python Framework

Dev tools

• Python Module Dependency graphs
• Python Debugging With Pdb – Real Python

Computer Graphics

• Python CFFI bindings for Raylib

Footnotes

1. article - Python High-level essentials / Хабр, repository - Python developer roadmap ↩