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Notebooks

Notebooks, particularly Jupyter Notebooks, are interactive computing environments that allow users to create and share documents containing live code, equations, visualizations, and narrative text. They are widely used in data science, machine learning, and academic research for their ability to combine code execution with rich media. This versatility makes notebooks an effective tool for teaching and learning, as they facilitate active engagement with content through hands-on coding and experimentation. By enabling users to document their thought processes alongside their code, notebooks promote a deeper understanding of complex concepts and enhance collaboration among peers.

Jupyter Notebooks

 Python Like You Mean It

Jupyter Notebooks  In recent years, the Jupyter Notebook has become a massively popular tool for doing research-oriented work in Python and other languages alike. Its emergence marked a paradigm shif...

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Chapter 3 Notebooks in teaching and learning

 Teaching and Learning with Jupyter

Jupyter notebooks are a valuable tool for teachers, but their value can only be leveraged if you apply them correctly within the context of your course. In this chapter, you will learn how teachers ca...

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The notebook-induced regression

 Towards Data Science

Opinion How massive adoption of notebooks is negatively affecting quality of code in data science Photo by Lorenzo Herrera on Unsplash Every data scientist is familiar with the definition of notebook...

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On writing clean Jupyter notebooks

 Towards Data Science

Notebooks are a magnificent tool to explore data, but such a powerful tool can become hard to manage quickly. Ironically, the ability to interact with our data rapidly (modify code cells, run, and…

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Jupyter Notebook

 Full Stack Python

Jupyter Notebook, formerly named iPython Notebook, is a powerful Python code execution environment often used for data analysis.

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Jupyter Notebook

 Codecademy

Jupyter Notebook (sometimes called IPython Notebook) is a popular way to write and run Python, R, or Julia code, especially for data analysis, data science and machine learning. Jupyter Notebooks are ...

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No-Hassle Machine Learning Experiments with Azure Notebooks

 Towards Data Science

Jupyter Notebooks are a gift from God to those who work with data. They allow us to do quick experiments with Julia, Python, R, and more (hence JuPytR). It also mixes live code and documentation…

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Why (and how) to put notebooks in production

 Towards Data Science

Putting notebooks and production in the same sentence is a sure way to trigger a heated online debate. This topic comes up frequently, and it’s common to hear that teams completely dismiss notebooks…

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Announcing Consumer Notebook!

 Daniel Roy Greenfeld Blog

Announcing Consumer Notebook! December 16, 2011 This was originally posted on blogger here . Need a Python programming language book? Want to see a comparison of the ones I own and use? Check out my M...

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Everything You Need To Know About Jupyter Notebooks!

 Towards Data Science

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Its uses include data…

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How to Create a Docker Image with Jupyter Notebook and Kotlin

 Towards Data Science

Computational Notebooks or simply Notebooks are a flexible and interactive tool that allows scientists to combine software code, computational output and explanatory resources (like text, charts and…

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Elegant CICD with Databricks notebooks

 Towards Data Science

Notebooks are the primary runtime on Databricks from data science exploration to ETL and ML in production. This emphasis on notebooks calls for a change in our understanding of production quality…

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