Taking Python to Production: A Professional Onboarding Guide

Install the Windows Subsystem for Linux (WSL2) to get a true Linux terminal on Windows, and install Ubuntu 20.04 via official docs to start using Linux tools for Python development.

Learn to integrate Visual Studio Code with Windows Subsystem for Linux using the official WSL extension, open an Ubuntu 20.04 session, and edit WSL workspaces from Windows.

Master the terminal essentials for Python development, demystifying shells like Bash, and setting up intuitive terminal features to streamline coding, file management, and running programs.

Switch from bash to the z shell and install oh my zsh to customize and streamline your terminal, using curl or wget with macOS or Ubuntu, while noting security considerations.

Navigate with zsh and oh my zsh, explore the plugins directory, and leverage auto-completion and a git-aware prompt to boost terminal productivity for Python development.

Learn to enable and disable zsh plugins via the zshrc, explore the all-in-one markdown extension, and use the web search plugin, plus basic python tooling like virtualenv and pip.

Master semantic versioning to communicate API changes, distinguish major, minor, and patch updates, and understand version pinning for backwards-compatible, faster, and secure Python libraries.

Learn to install and manage multiple python versions with pyenv, including mac brew installation, linux ubuntu setup, shell configuration, and switching versions across projects.

Learn how to manage uncommitted changes with git stash, temporarily saving work to switch commits or review history, and reapply changes with stash pop, while learning about potential merge conflicts.

Master git branching in VS Code by creating and switching branches like feature docs and fix performance, including adding a doc string and summing numbers, committing changes and using stash.

Resolve merge conflicts in git by merging master into performance, choosing between a docstring and a return, and completing a fast-forward merge into master.

Create a git repository on GitHub via the UI, select public or private visibility, optionally add a readme and license, and explore repository metadata and branches for remote collaboration.

Explore how code review works through pull requests in a GitHub workflow, from creating feature branches and committing changes to merging into main after reviewer feedback.

Refactor Python code to improve readability by applying pep8 and google python style guidelines, reducing global state, and using pure functions with well-named abstractions.

Speed up development by using continuous integration and automated code quality checks, keeping pull requests small to accelerate reviews and prevent stale pull requests.

Learn how auto formatting with Black and VS Code settings standardizes code style, reduces holy wars over formatting, and accelerates code reviews and continuous integration.

Configure Pylint with a config file and CLI arguments to tailor lint rules, disable certain messages, and generate a Pylint rc file, balancing consistency with practical exceptions.

Explore how Python type hints and type annotations boost readability, maintainability, and editor autocompletion, by contrasting static and dynamic typing and showing how typing enables scalable, production-ready code.

Explore typing in Python with type hints and static analysis using mypy, install it in a virtual environment, and enable VS Code integration to catch typing inconsistencies.

Explore Ruff, a fast rust-based Python linter that unifies Flake8 and Pylint rules. Learn its pyproject.toml config, --fix capabilities, and Python bindings via Pi three.

Build a bash script that runs code quality tools—black, pylint, flake8, rough, and eishort—against your codebase, using dot black dot toml and dot pylint rc for a unified workflow.

Enforce code quality with git hooks by running linting tools like Black, Pylint, and Flake8 in a pre-commit script, blocking commits on failures and enabling automation via GitHub actions.

Explore an advanced pre-commit config featuring isolated hooks for flake8, mypy, and pylint, with additional dependencies, and learn how to prevent merge conflicts, large files, and secrets.

Master how to create and run a GitHub Actions workflow that uses pylint to analyze Python code, with push triggers, checkout, setup Python 3.8, and handle non-zero exit statuses.

Fixing the build by resolving pylint errors and demonstrating pre-commit and GitHub Actions in CI.

Save build minutes by configuring GitHub Actions to trigger only on branches with open pull requests, using pull request events such as opened or reopened.