Taking Python to Production: A Professional Onboarding Guide
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Data scientists, analysts, and beginner devs: transition from “coder” to “software engineer” and learn to ship code
Taking Python to Production Course Overview
Udemy Course: Taking Python to Production: A Professional Onboarding Guide
This is a course about transitioning from a “coder” to a “software engineer”. It specifically covers the tools needed to develop and “ship” production-ready software with Python. As an MLOps engineer, my role is to help enable data scientists, analysts, and junior engineers become more self-sufficient at bringing products to production.
This course covers a mix of foundational tools, engineering practices, and career advice that new engineers should be given during the onboarding process when they join a team (but they often don’t get guidance!). By the end of this course, you should feel confident contributing to complex software projects in a team setting, whether open-source or at a company (or please request a refund within 30 days!). You will understand how closed- and open-source projects are run and how to run your own.
In the Best Python Course we write very little code and instead focus on the non-coding aspects of software engineering that make you an effective member of the software engineering community. That said, you should have a solid grasp of Python fundamentals (loops, functions, classes, etc.) before taking this course.
What you’ll learn
- Set up a professional Python development environment – Visual Studio Code, pyenv, git, autocompletion
- Learn the professional git workflow with GitHub and CI/CD with GitHub Actions
- Make the terminal more intuitive with ZSH and plugins
- Version and package Python software and publish it for the community
- Setup automated code quality checks (testing, linting, documentation, type checking, etc.)
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Python Course Information
- Instructor: Eric Riddoch
- Duration: 28 hours
- Language: English [Auto], Korean [Auto]
- Source: Udemy
