The course is part of this learning path
This overview introduces the Pythonic Programming learning path.
- [Jeremy] Hello and welcome to the Pythonic Programming Learning Path presented to you by Cloud Academy. In this quick course, we'll review the learning path contents, intended audience, learning objectives and prerequisites. Before we start, I would like to introduce myself. My name is Jeremy Cook. I'm one of the trainers here at Cloud Academy, specializing in DevOps. Feel free to connect with either myself or the wider team here at Cloud Academy regarding anything presented within this learning path. You can email us at email@example.com. The Pythonic Programming Learning Path consists of a blend of instructional courseware, together with hands on labs where you get to put into practice writing Pythonic code. The intended audience for this learning path includes: software developers interested in learning how to write Python code in a Pythonic manner, Python junior level developers interested in advancing their Python skills and anyone with an interest in Python and how to use Python to write concise and elegant scripts for general purpose tasks. By completing this learning path, you will: understand how to write and develop with Python using Pythonic principles, understand the benefits of using Python and associated best practices to build software which is considered Pythonic and be able to exploit the Python language features to write clean, readable and maintainable code. The following prerequisites will be both useful and helpful for this learning path. A basic understanding of software development and a basic understanding of Python and related coding tools Okay, the learning path introduction has now been completed. Go ahead and close this and we'll see you shortly in the first course.
Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.
He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, GCP, Azure), Security, Kubernetes, and Machine Learning.
Jeremy holds professional certifications for AWS, GCP, and Kubernetes.