Create Professional Plots with Python

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Create Professional Plots with Python

This course is part of Jupyter Python Visualization and Optimization Specialization

Instructor: EDUCBA

Included with Learn more

2 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Create professional plots using annotations, advanced axes, date formatting, Mathtext, LaTeX, contours, and image plotting.
Use HTML, JavaScript, widgets, magic commands, and configurations to customize interactive IPython workflows.
Create IPython kernels, execute functions, and apply unit testing for reliable and reproducible notebook applications.

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This course is part of the Jupyter Python Visualization and Optimization Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 2 modules in this course

Create professional plots and advanced IPython workflows for research, analytics, scientific visualization, and technical reporting. In this course, you will enhance graphs with annotations, arrows, and Pylab features; build visualizations with multiple, logarithmic, and shared axes; and format dates for clearer time-series analysis. You will also use Mathtext, LaTeX rendering, contour plots, and image plotting to communicate mathematical and scientific data effectively.

Beyond visualization design, you will explore advanced IPython functionalities that improve notebook productivity and interactivity. Learn to use built-in functions, render HTML and JavaScript, implement interactive widgets, work with magic commands, manage configurations and data, create kernels, execute functions, and apply unit testing for reliable, reproducible workflows. This course is designed for learners who want to move beyond basic graphs and develop professional notebook-based solutions. Its unique approach connects advanced plotting techniques with IPython development, showing how visualization and notebook functionality work together. Enroll to create clearer analytical visuals, customize interactive workflows, and build more dependable applications in IPython.

This module emphasizes advanced plotting skills, including annotations, multi-axis visualizations, and scientific plotting features. Learners will be able to design professional-quality graphs for analytical and presentation purposes.

What's included

13 videos4 assignments

13 videosTotal 121 minutes

Annotations and Texts11 minutes
Decorating Arrows10 minutes
Ipython Pylab9 minutes
PLotting Multiple Axes12 minutes
Logarithmic Axes8 minutes
Shared Axes12 minutes
Date Formatting with Matplotlib10 minutes
Date Formatting with Matplotlib Continues4 minutes
Date and Days Formatting10 minutes
Mathtext Module11 minutes
LaTex Renderers9 minutes
Contour Plotting8 minutes
Image Plotting8 minutes

4 assignmentsTotal 60 minutes

Professional Plotting Techniques30 minutes
Adding Meaning to Visualizations10 minutes
Complex Axes & Date Formatting10 minutes
Scientific & Mathematical Visuals10 minutes

This module explores advanced IPython features including HTML/JavaScript rendering, magic commands, and kernel management. Learners will also discover automated testing for reliable and reproducible workflows.

What's included

13 videos4 assignments

13 videosTotal 102 minutes

Built in Functions12 minutes
Java Script and HTML Rendering9 minutes
Using Java Script Widgets7 minutes
Using Java Script Widgets Continues7 minutes
CSV Magic7 minutes
More on CSV Magic6 minutes
IPython Configuration System6 minutes
Magic Commands8 minutes
Creating a Kernel in IPython10 minutes
Creating a Kernel in Ipython Continues9 minutes
Do Execute Function4 minutes
Automated Unit Testing10 minutes
Automated Unit Testing Continues8 minutes

4 assignmentsTotal 60 minutes

Advanced IPython Functionalities30 minutes
Boosting Productivity with Ipython10 minutes
Managing Data & Configurations10 minutes
Extending IPython with Kernels & Testing10 minutes

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Instructor

EDUCBA

1,744 Courses440,858 learners

Offered by

EDUCBA

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