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JupyterLab

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May 1, 2024 3 minute read

JupyterLab is an open-source, browser-based, and interactive development environment designed specifically for the Python language. It provides a wide range of features and tools that are essential for data science and machine learning tasks. JupyterLab's interface comprises notebook-style documents that combine live code, interactive visualizations, and explanatory text. These notebooks allow users to explore data interactively, perform data analysis, and build machine learning models through a series of executable code cells.

What is JupyterLab Used for?

JupyterLab is a versatile tool used in various domains, including:

Path to JupyterLab

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We've curated two courses to help you on your path to JupyterLab. Use these to develop your skills, build background knowledge, and put what you learn to practice.

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Tools for Data Science

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Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster

Omnibond: Creating an HPC Environment in Google Cloud...

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Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in JupyterLab.

Python Data Science Handbook

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Comprehensive guide to data science using Python, and it includes a section on using Jupyter Notebooks for data analysis and visualization.

Python Data Science Handbook: Essential Tools for...

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Python Data Science Handbook: Essential Tools for...

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Python pour la Data Science - Les meilleures outils...

Paperback

$$$

Python Data Science Handbook

Kindle Edition

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