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. Notebooks facilitate reproducible research by enabling users to document their workflows and results in a single, cohesive format. This versatility makes them valuable tools for both teaching and learning, as they can engage students in active exploration and experimentation while providing a structured environment for coding and analysis.

Jupyter-Notebook — The KILLER Of Portfolios

 Towards Data Science

Th e Notebook: The place where all modern scientific computers became comfortable with their discipline; A sanctuary, a place of peace. We all know the notebook as a fantastic tool that makes…

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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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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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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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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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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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Introducing Marimo Notebooks: The Reactive Notebook We’ve Been Waiting For…

 Python in Plain English

The Notebook Nightmare We All Know It’s 2 AM. You’ve restarted your Jupyter kernel for the Xth time, chasing phantom variables that shouldn’t exist. Your notebook outputs contradict themselves, plots ...

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Jupyter Notebook Essential Productivity Hacks

 Towards Data Science

Jupyter notebooks are a dynamic and popular tool that helps users create readable analyses while combining code, images, comments, formulas, and plots in one organized way. Formerly known as the…

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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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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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A Beginner’s Tutorial to Jupyter Notebooks

 Towards Data Science

A Jupyter Notebook is a powerful tool for interactively developing and presenting Data Science projects. Jupyter Notebooks integrate your code and its output into a single document. That document…

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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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