Python

Python is a programming language that lets you work quickly and integrate systems more effectively.

Best practices for installing and creating virtual environments to work with Python.

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New tools

TIP

I've been experimenting with UV recently, so this is still a WIP.

UV

An extremely fast Python package and project manager, written in Rust.

Github

Install

curl -LsSf https://astral.sh/uv/install.sh | sh

Manage Python

# show installed version
uv python list

# install python version
uv python install 3.11.9

Manage Project and Env

# Init project and set  minimum supported Python version
uv init --python 3.9

# Create virtual env with specific python version
uv venv --python 3.9.916

# Activate virtual env
source edai-0001/bin/activate

Install Packages

uv add package

Run Python

uv run script.py

Consolidated tools

TIP

How most of my projects used to be structured.

PyEnv

Pyenv lets you easily switch between multiple versions of Python. It's simple, unobtrusive, and follows the UNIX tradition of single-purpose tools that do one thing well.

PyEnv - Github

How to install PyEnv

# Install PyEnv
brew install pyenv

How to use PyEnv

# Install PyEnv
brew install pyenv

# Install python version
pyenv install 3.9.11

# Set global python version
pyenv global 3.9.11

# Set local python version
pyenv local 3.9.11

Poetry

Poetry - Github

Poetry - Installations Methods

Install poetry

curl -sSL https://install.python-poetry.org | python3 -

Poetry commands

# Create new project
poetry new my-folder --name my-package

# Init poetry in existing project
poetry init

# Install package = (pip install)
poetry add django

# Access virtual env
poetry shell

# Update package to specific version
poetry add django@2.2.19

# Set python version
poetry env use python3.7

## If above command fails, try this
poetry env use $(pyenv which python)

Generate requirements.txt

poetry export --without-hashes --format=requirements.txt > requirements.txt