| Published | 2022-05-27 |
| Platform | Udemy |
| Price | $24.99 |
| Subjects |
Make your career in Data Scientist, Data Analyst, Reporting Analyst and more!
Matplotlib is a low level graph plotting library in python that serves as a visualization utility. Matplotlib was created by John D. Hunter. Matplotlib is open source and we can use it freely.
Matplotlib is mostly written in python, a few segments are written in C, Objective-C and Javascript for Platform compatibility. If you want to Make your career in Data Scientist, Data Analyst, Reporting Analyst and more!. than you must enroll.
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
Create publication quality plots.
Make interactive figures that can zoom, pan, update.
Customize visual style and layout.
Export to many file formats .
Embed in JupyterLab and Graphical User Interfaces.
Use a rich array of third-party packages built on Matplotlib.
Much of working within the data science industry is learning different programming languages and data science tools. As one of the most popular data science tools, Python is one of the most-used programming languages within the field. It is helpful to learn more about the different Python libraries that are most effective when completing data science projects. In particular, the Matplotlib library is used within the data science industry to communicate the findings of a data analysis project through unique graphics and visualizations. you should add this Python library to your data science toolkit!
About the Instructor:
Sharad Khare is Data Intelligence Scientist and Fraud Analyst with 9+ years of Legal experience in the Global Safety and Investigative sectors with content policy, anti-abuse operations, Audit Intellectual Property violations, Anti-Fraud Operations and Investigation.
He is also the External Invitee Faculty of different different Education institutions for tutoring HTML, PHP, R Language, MYSQL, Python, JavaScript and Data science.