DevOps and Build Automation with Python

Go to Course: https://www.coursera.org/learn/devops-build-automation-python

Introduction

# Course Review: DevOps and Build Automation with Python on Coursera ## Overview "DevOps and Build Automation with Python" is the concluding course in a comprehensive series designed to equip learners with the skills needed to thrive as programmers in today’s tech landscape. This course focuses on automation concepts within the realm of DevOps, all through the lens of Python programming. With a blend of in-depth lectures and hands-on lab sessions, students have the opportunity to apply the learned material to practical applications—essential for reinforcing theoretical knowledge and bridging the gap to real-world usage. ## Detailed Syllabus Breakdown ### Package Managers The course kicks off with an essential module on Package Managers. Here, learners dive into PIP, the de facto package management system for Python. This module is crucial as it lays the foundation for managing libraries—an essential skill for any developer. By understanding how to effectively install and utilize packages, students will be prepared to handle numerous libraries that can enhance their programming tasks. ### Testing Testing is a critical element of software development, and this course dedicates a substantial module to it. Students will explore both automated and manual testing with a specific focus on Python, essential for maintaining code quality and reliability. The discussions around unit tests and integration testing ensure that learners can perform comprehensive testing on their programs. By the end of this module, students will even write their own unit tests, cementing their understanding of testing frameworks in Python. ### Browser Automation In the ever-evolving world of software development, browser automation is becoming increasingly important. This module introduces students to using Python to script web browsers, using the Python port of the Puppeteer JavaScript library—pyppeteer. This hands-on approach enables learners to automate web interactions, a valuable skill for developing web applications and conducting web scraping. ### Containers for Development The final module revolves around the concept of containers, specifically the use of Docker in development workflows. By understanding containers, developers can replicate environments for testing and deployment, ensuring that applications run smoothly regardless of where they are hosted. The focus on container automation with Python empowers students to streamline their development processes and create more efficient workflows. ## Why You Should Take This Course 1. **Comprehensive Learning Path**: This course is the last piece in a structured series, making it ideal for those who have completed the foundational prerequisites. If you’re looking to gain hands-on experience in automation, this is a perfect fit. 2. **Practical Labs**: The integration of practical labs allows you to put theoretical knowledge into action, which is essential for reinforcing learning. You’ll be able to see firsthand how automation concepts apply to real-world scenarios. 3. **In-demand Skills**: DevOps and automation skills are highly sought after in the tech industry. By completing this course, you will be well-equipped to tackle challenges in modern software development environments. 4. **Expert-Led Instruction**: Coursera often collaborates with leading universities and organizations, ensuring that the course content is delivered by experts in the field. 5. **Flexibility**: As part of a recognized online platform, you can learn at your own pace and on your own schedule, making it easier to balance your education with personal or professional commitments. ## Conclusion "DevOps and Build Automation with Python" is an exceptional course that not only teaches fundamental concepts of DevOps and automation but also prepares you for real-world application of these concepts. Whether you are taking your first steps into programming or looking to enhance your skills for a career in software development, this course should be on your radar. With its well-structured modules, practical applications, and focus on in-demand skills, it's a highly recommended option for aspiring programmers. Don’t miss out on this opportunity to elevate your coding capabilities and prepare for future challenges in technology!

Syllabus

Package Managers

In this module, we look at how we can install and utilize PIP to manage library packages.

In this module, we look at how to utilize Python for Testing. We will discuss automated and manual testing. We will discuss unit tests and integration testing. We will conclude with a look at writing unit tests.

In this module, we extend our toolset of Python by looking at utilize Python to script the web browser. We look at the Python port of the puppeteer JavaScript headless library to Python in the library named pyppeteer.

In this module, we look at containers. Containers allow developers to have a control environment to test and deploy their applications. We will specifically look at Docker and container automation with Python.