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Jupyter Open Source

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245 reviews
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4.6
Serving customers since
2014

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Jupyter Open Source Reviews

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Profile Name
Star Rating
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1
Kapil K.
KK
Kapil K.
Graduate Data Engineer at CTM
09/09/2023
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Most convenient to write python code

Most helpful feature of jupyter notebook I liked is it maintains cell level execution, making it easier to run the code line by line or function by function. It's really heplful in machine learning as it maintains the cell level execution and it's easier for me to check the data while loading and while testing. And as it supports multiple languages that makes it easier for me access database using SQL.
Verified User in Computer Software
UC
Verified User in Computer Software
09/04/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Best tool for running code snippets

Jupyter notebook is used to run small code snippets. We can tryout code and run on this instead of running whole application to test our code. Data can be visualised on it. Best suitable for data analysis and research applications.
Prajakta A.
PA
Prajakta A.
08/29/2023
Validated Reviewer
Review source: Organic

Jupyter notebook is the web applications.in that we write code, equation,text.

Jupyter notebook is the free web application.so for me it is the best application for the developer.in that we can write our code,we implemented lot of problems regarding our project and it is very helpful for me in my project.and it is open source application.so i recommended that go for this app, because for me it gives very good experience.

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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