Learn how to create a CI/CD pipeline that automatically deploys a web application to a staging environment using GitHub Actions and Azure Web Apps. This tutorial guides you through configuring a pipeline that integrates with a version control system, builds and tests the application, and deploys it to a staging environment. By the end of this lab, you'll have a working pipeline that automates web application deployment to a staging environment.

Automate your build process with the right triggers. Learn about the three types of build triggers - on-push, pull request, and scheduled builds - and how to configure them in popular CI tools like GitHub Actions, CircleCI, and Jenkins. Understand the practical applications of each trigger type to streamline your CI/CD pipeline.

This educational topic covers the process of exploratory data analysis (EDA) using real-world datasets and Python. Key steps in EDA discussed include loading and preprocessing data, calculating descriptive statistics, creating data visualizations, and performing correlation analysis. By completing these steps, data scientists can better understand their data and make informed decisions in their analysis or modeling.