Welcome to the 'DevOps' learning path on LabEx! In the fast-paced world of software development, DevOps isn't just a buzzword; it's a philosophy that bridges the gap between development and operations, fostering collaboration and efficiency. This path is meticulously designed for beginners, offering a structured journey to master modern practices and essential tools. You'll systematically build your understanding of continuous integration, delivery, and deployment, gaining practical skills through hands-on exercises and real-world scenarios. But what does this journey truly entail? Let's explore how a series of seemingly simple visualization labs can lay a crucial foundation for your DevOps mastery.
Matplotlib Visualization Tutorial
Difficulty: Beginner | Time: 30 minutes
This tutorial will guide you through creating a simple plot using Python's Matplotlib library. Matplotlib is a data visualization library widely used in scientific computing to create static, animated, and interactive visualizations in Python.
Practice on LabEx → | Tutorial →
Matplotlib Animated Scatter Plot
Difficulty: Beginner | Time: 25 minutes
This lab is designed to teach you how to create an animated scatter plot using Python's Matplotlib library. We will cover everything from setting up the plot to saving the animation as a GIF. By the end of this lab, you will have a working animated scatter plot that you can use to visualize your data.
Practice on LabEx → | Tutorial →
Simple Matplotlib Axisline
Difficulty: Beginner | Time: 30 minutes
In this lab, we will learn how to create a simple axis line using Matplotlib. We will use the mpl_toolkits.axisartist.axislines library to create an axis line with x and y axis labels, and a y2 axis label on the right side. We will also learn how to hide the top and right axes, and make the x axis line visible at y=0.
Practice on LabEx → | Tutorial →
Simple Axis Tickel and Tick Directions
Difficulty: Beginner | Time: 30 minutes
This lab will guide you on how to create simple axis tick labels and tick directions using Matplotlib. The code will help you move the tick labels and ticks to inside the spines.
Practice on LabEx → | Tutorial →
Create Dual-Axis Matplotlib Plot
Difficulty: Beginner | Time: 40 minutes
This tutorial will guide you through the steps of creating a simple plot using Matplotlib, a Python library used for data visualization. We will be using the host_subplot module to create a plot with two y-axes.
Practice on LabEx → | Tutorial →
Embark on this exciting journey with LabEx. Each lab is a stepping stone, building your confidence and practical skills. Don't just read about DevOps; experience it, visualize it, and master it. Your path to becoming a DevOps pro starts here!
Top comments (0)