Taking Python to Production: A Professional Onboarding Guide

🌟 Taking Python to Production: A Professional Onboarding Guide 🌟

Course Headline:

Data scientists, analysts, and beginner devs: it's time to transition from "coder" to "software engineer" and learn to ship code! 🚀

Course Description:

This isn't just another Python programming course. It's a comprehensive guide designed to equip you with the tools and knowledge necessary to develop and "ship" production-ready software using Python. As an MLOps engineer, I understand the challenges that data scientists, analysts, and junior engineers face when transitioning to full-fledged software engineers. That's why this course bridges the gap between coding and engineering by covering a mix of foundational tools, engineering practices, and career advice essential for a smooth onboarding into a software engineering team.

Why This Course?

• You'll gain insights into the workings of both closed-source and open-source projects, learning how to effectively run your own.
• The focus is on the non-coding aspects of software engineering, the ones that make you an effective and integral member of a team.
• While we'll touch upon code here and there, this course emphasizes understanding the ecosystem around Python development, making your coding practices more impactful.

What You Will Learn:

• Setting up a professional Python development environment tailored for productivity and efficiency.
• Mastering a professional workflow for Python development with Visual Studio Code, especially its powerful autocompletion features.
• Command over git, GitHub, branching strategies, and integrating them seamlessly with VS Code and the terminal.
• Writing clean, maintainable code, ensuring all contributions are of high quality through testing, linting, formatting, type checking, documentation, and more.
• Publishing production-quality software for a wide audience using packaging, versioning, continuous integration, and continuous delivery tools like pre-commit, GitHub Actions, and PyPI.
• Creating new high-quality Python projects in seconds with effective templating strategies.

Course Highlights:

✅ Professional Development Setup - Tailor your environment for productivity.

✅ Advanced Visual Studio Code Usage - Get the most out of VS Code's autocompletion features.

✅ Git & GitHub Mastery - Understand branching strategies and integrate them into your workflow.

✅ Quality Assurance - Learn about testing, linting, formatting, type checking, documentation, and more to ensure high-quality code.

✅ Production Deployment - Package, version, and deploy software using CI/CD best practices.

✅ Project Templating - Save time by creating new projects with ease.

Before making a decision, we encourage you to sample the preview lectures. This will give you a firsthand look at the course material and help you determine if it's the right fit for your career aspirations.

Join us in this transformative journey and elevate your Python skills from coding to production-ready engineering! 🐍🚀

See you in the course, Eric Riddoch 👋