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Jupyter Open Source

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231 reviews
  • 1 profiles
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4.6
Serving customers since
2014
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Jupyter Open Source Reviews

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Patrick R.
PR
Patrick R.
Data Science
01/30/2018
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Verified Current User
Review source: G2 invite
Incentivized Review

A useful tool for nearly every analytics task

Jupyter offers multiple kernel environments, and with its numerous magic commands, I can perform nearly every aspect of your data science project in a single environment. I can load data the database management system of my choice, perform transformations, explore and analyze the data, and create a final pdf or html report, all without leaving the Jupyter platform.
Sharon L.
SL
Sharon L.
Associate Consultant at Amazon Web Services (AWS)
01/23/2018
Validated Reviewer
Review source: G2 invite
Incentivized Review

Love jupyter

Ability to re-run pieces of script Connection to anaconda root
Dustin F.
DF
Dustin F.
Data Scientist
01/23/2018
Validated Reviewer
Review source: G2 invite
Incentivized Review

Easy way to create code documentation.

I like how easy it is to mix long text descriptions, LaTEX formulas, and graphs within the code. In the field of data science, work is often presented so this is my go-to tool when using python.

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What is Jupyter Open Source?

Project Jupyter is a set of open-source software tools for interactive and exploratory computing. Developed by a community of worldwide contributors, these tools support reproducible and collaborative scientific computing and data science across a wide range of programming languages (Python, Julia, R, etc.). The Jupyter Notebook, a web-based, interactive computing platform that allows users to perform data cleaning, data analysis, statistical modeling, numerical simulation, and data visualization, has over two million worldwide users across every imaginable technical field. To learn more visit www.jupyter.org.

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Year Founded
2014