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Updated in [July 27th, 2023]
This Learning Path is designed to help new learners understand the Jupyter Notebook, an open-source web application that supports more than 40 programming languages. It will teach learners how to integrate the Jupyter system with different programming languages, such as R, Python, JavaScript, and Julia. Learners will also learn how to use interactive widgets, namespaces, and work with Jupyter in the multiuser mode. Additionally, learners will learn how to share their Notebook with colleagues and access Big Data using Jupyter. By the end of the Learning Path, learners will be able to write code, compute mathematical formulae, create graphics, and view the output, all in a single document and web browser.
This course is authored by Dan Toomey, who has over 20 years of experience developing applications and has worked in a variety of industries and companies in roles from the sole contributor to VP/CTO level.
Course Syllabus
Jupyter Notebook for All – Part I
Jupyter Notebook for All – Part II