Python

Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. Created by Guido van Rossum and first released in 1991, Python emphasizes code readability with its clean, easy-to-understand syntax, making it ideal for both beginners and experienced developers. Python supports multiple programming paradigms, including object-oriented, procedural, and functional programming, and has a vast ecosystem of libraries and frameworks that extend its functionality.

Tool/Framework	Description
Dynaconf	Configuration Management for Python
CrytoLens	License and sell your software securely
Locust	An open source load testing tool
Pipdeptree	Display dependencies tree
Databases	Async database support for Python
Vulture	Find dead Python code
Hatch	Modern, extensible Python project management
Towncrier	Manage the release notes for your project
Gitlint	Linting for your git commit messages
License-check	Check python packages from requirement.txt and report issues
Pip-licenses	Dump the license list of packages installed with pip
Pycln	A formatter for finding and removing unused import statements
Typeshed	Collection of library stubs for Python, with static types
Safety	Checks Python dependencies for known security vulnerabilities
Orjson	Fast, correct Python JSON library
Pympler	Development tool to measure, monitor and analyze the memory behavior
Loguru	Python logging made simple
Debugpy	An implementation of the Debug Adapter Protocol for Python
Hey	HTTP load generator, ApacheBench (ab) replacement
Perfect	Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines
Rich	Rich is a Python library for rich text and beautiful formatting in the terminal
Schedule	Python job scheduling for humans
Scalene	High-performance, high-precision CPU, GPU, and memory profile
Memray	Memory profiler
Jellyfish	Library for approximate and phonetic matching of strings
Dask	Parallel computing with task scheduling
Msgspec	A fast serialization and validation library
Attrs	Python Classes Without Boilerplate
Kivy	Open source UI framework
Griptape	Modular Python framework for AI agents and workflows with chain-of-thought reasoning
GSQuant	Python toolkit for quantitative finance
Quix	Python stream processing for Kafka
cuDF	cuDF - GPU DataFrame Library
pygwalker	Turn your pandas dataframe into an interactive UI
FastCRUD	FastCRUD offer a robust async CRUD operations and flexible endpoint creation utilities.
Ormar	Python async orm with fastapi in mind and pydantic validation
Logfire	Uncomplicated Observability for Python and beyond
Pathway	Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG
Markitdown	Python tool for converting files and office documents to Markdown
VPS-audit	Lightweight, dependency-free bash script for security, performance auditing and infrastructure monitoring of Linux servers
Dependency Injector	Dependency injection framework for Python
Litestar	Production-ready, Light, Flexible and Extensible ASGI API framework

Articles/Talks

• Libraries - Best of Python
• Python Packaging for Scientists
• Top Python libraries of 2022
• Say Goodbye to Loops in Python, and Welcome Vectorization!
• No really, Python’s pathlib is great
• Building Beautiful Command Line Interfaces with Python
• Using Alpine can make Python Docker builds 50× slower
• Leveraging Docker multi-stage builds in Python development
• Create a Multi-Stage Docker Build for Python Flask and Postgres
• Production-ready Docker packaging for Python developers
• Faster Docker builds with pipenv, poetry, or pip-tools
• Elegantly activating a virtualenv in a Dockerfile
• Multi-stage builds #2: Python specifics
• What to Do When Your Data Is Too Big for Your Memory?
• Google Python Style Guide

Inspired repositories

• All Algorithms implemented in Python ⇒ Algorithms
• Data-centric declarative deep learning framework ⇒ Structure, classes and decorators
• Petastorm⇒ Parquet, ML and more
• Python DDD Example and Techniques
• Python Wheel to Debian package converter

Installation previous versions

• Example in Debian/Ubuntu

# install repository
sudo apt-get install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
# python 3.X substitute for the version needed
sudo apt install python3.9 python3.9-venv python3.9-dev -y

Use

Pipx

• Install pipx for isolated environments and Apps to use in general context, for example Hatch or PDM.
• Select which python use.

pipx install hatch uv pip-tools --python python3.11

Hacth

• Create a project using Hatch.

hatch new --init

• Create environment using UV.

hatch env create

• Activate venv

hatch shell

• Build project

hatch build

UV

• Create env with uv

uv venv --python 3.11 

• Compile requirements

uv pip compile requirements/requirements.in -o requirements/requirements.txt
uv pip install -r requirements/requirements.txt

Libraries

Pydantic

• Pedantic Configuration Management with Pydantic
• Use Pydantic BaseSettings for config settings

Pytest

• HTML report pytest-html-reporter.
• Coverage test pytest-cov.
• Understanding fixtures.
• Scopes fixtures.

# list fixtures availables
pytest --fixtures
# run single function
pytest test_mod.py::test_func
 
# Marker tests
@pytest.mark.unit
def test_get()
pytest -m unit -v
 
# coverage instructions
--cov package --cov-branch --cov-report term-missing

Setuptools

• Building and Distributing Packages with Setuptools
• Setup with CMake
• Classifiers por pytroject.toml and display in Pypi

Sphinx

• Best Sphinx extensions list
• Autobuild sphinx documentation

sphinx-autobuild docs/source docs/build/html

MKdocs

• mkdocs-material
• My markdown knowledge base stack with mkdocs and Obsidian

Pre-commit

pre-commit run --files client/example.py

Alembic

alembic revision --autogenerate -m "New revision"
alembic upgrade head
alembic check

JWT

# pip install pyjwt
import jwt
encoded_jwt = jwt.encode({'some': 'payload'}, 'secret', algorithm='HS256')

Commands

• List dependencies.

pip install pipdeptree 

pipdeptree > result.txt

• List licenses.

pip install pip-licenses

pip-licenses --from=classifier --with-description --order=license --format=html --output-file=/result.html

# show pip config
pip config list -v
 
# FLASK
flask routes

00-python-path.py
 
echo ''import sys; sys.path.append('your-packages-route') ' > /home/ipython.profile_default/startup/00-python-path.py

Understanding Python Execution Flow

• Python Execution

Web-GUIs

Tool/Framework	Description
Dash	Data Apps & Dashboards for Python. No JavaScript Required.
Streamlint	A faster way to build and share data apps.
Gradio	Build and share delightful machine learning apps
Solara	A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
ReactPy	It’s React, but in Python
Voila	Voilà turns Jupyter notebooks into standalone web applications
Reflex	Web apps in pure Python
Backstage	Backstage is an open framework for building developer portals
Mesop	Rapidly build AI apps in Python
Nicegui	Create web-based user interfaces with Python