DevOps Tutorials
DevOps provides a structured approach to learning modern software development and IT operations practices. Whether you're a beginner or an experienced professional, our DevOps tutorials offer a systematic exploration of key concepts and tools. With free labs and practical code examples, you'll develop skills in continuous integration, deployment, and infrastructure management. Our DevOps playground enables real - time experimentation with various tools and workflows.
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Publishing Test Reports and Build Notifications
Create a Jenkins Freestyle job from the dashboard, publish JUnit test results, and configure build email notifications.
Jenkins
Using Jenkins Shared Libraries
Create a local Jenkins shared library, register it from the dashboard, and call it from a Pipeline job.
Jenkins
Initializing a Jenkins Controller
Start an isolated Jenkins controller, retrieve the initial admin password, create a real administrator, confirm the initialized dashboard, and clean up the temporary controller.
Jenkins
Writing Scripted Jenkins Pipelines
Create and run a Jenkins scripted Pipeline job with node, stage, shell steps, and Groovy control flow.
Jenkins
Triggering Jenkins Builds with Webhooks
Simulate a repository webhook with curl, pass branch and commit data into a Jenkins job, and verify the triggered build log.
Jenkins
Configuring Tools and Labeled Agents
Configure a Jenkins node label, a local Git tool, and a Freestyle job from the Jenkins dashboard.
Jenkins
Backing Up and Restoring Jenkins Configuration
Back up a Jenkins job configuration, delete it, restore it from an archive, and verify the restored job.
Jenkins
Storing Credentials in Jenkins
Create, inspect, and update a Jenkins username/password credential from the Jenkins dashboard.
Jenkins
Creating Multibranch Pipelines
Create a local two-branch Git repository, configure a Jenkins Multibranch Pipeline from the dashboard, and compare branch builds.
Jenkins
Running Pipelines on Container Agents
Run a Jenkins Pipeline in the container-backed Jenkins environment and capture container execution evidence.
Jenkins
Scikit-learn Installation and Setup
In this lab, you will learn how to verify your scikit-learn installation, import necessary modules, and load a sample dataset to get started with machine learning in Python.
Python
Matplotlib Basic Line Plots
In this lab, you will learn the fundamentals of creating a basic line plot using Matplotlib. You will prepare data, plot it, add labels to the axes, and save the final plot as an image file.
Python
Matplotlib Installation and Import
In this lab, you will learn the fundamental steps to get started with Matplotlib, including installation, importing the library, and creating your first empty plot.
Python
Scikit-learn KNN Classification
In this lab, you will learn how to use scikit-learn to build a K-Nearest Neighbors (KNN) classifier, train it on the Iris dataset, and make predictions on new data.
Python
Matplotlib Pie Charts
In this lab, you will learn how to create and customize pie charts using Matplotlib, a popular data visualization library in Python.
Python
Matplotlib Histograms
In this lab, you will learn how to create and customize histograms using Matplotlib, a powerful plotting library in Python.
Python
Matplotlib Customizing Line Plots
In this lab, you will learn how to customize various aspects of line plots in Matplotlib, including color, markers, line style, titles, and axis limits to create more informative and visually appealing graphs.
Python
Matplotlib Bar Charts
In this lab, you will learn how to create and customize vertical and horizontal bar charts using Matplotlib, a powerful plotting library in Python.
Python
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