- Overview
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What is Jupyter Notebook and JupyterLab? 00:06:16
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Getting Started with a Jupyter Notebook and JupyterLab 00:07:04
- Best Practices
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Jupyter Notebook Basics 00:02:02
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Jupyter Notebook Setup 00:02:30
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Get Started with Anaconda and Jupyter 00:07:54
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Writing Notebook Best Practices 00:08:25
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Notebook Debugging 00:04:44
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Notebook Debugging Demo 00:09:14
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Jupyter Notebook Extensions 00:04:29
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Anaconda Notebook Service Demo + Conclusion 00:02:19
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End of Course Survey
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Course Completion
Jupyter Notebook Basics
Tips for productivity and best practices. (Retiring August 30, 2024)
Note: This course is no longer available for registration. You may register for the revised and enhanced Jupyter Notebook Basics.
With Jupyter Notebook, you can create and share documents containing live code, equations, and visualizations. In this course, you’ll get an intro to Jupyter Notebooks, as well as tips for reproducibility, revision control, and debugging. Learn about useful extensions that help you format your code, merge and export your notebooks, and more. Plus, get an overview of Anaconda's notebook service.
To open Anaconda Notebooks:
- Go to https://anaconda.cloud
- Click on 'Notebooks' from the top navigation menu
- Create an account or login if you already have one
About the Instructor
Albert DeFusco is a data scientist who also does some development, analytics, DevOps, predictive modeling, and MLOps. He specializes in scientific and high-performance computing and has taught introductory and advanced data science topics, using Anaconda products and open-source packages in many different industries and sectors. He holds a Ph.D. in theoretical chemistry.
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