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Jupyter Open Source

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

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Divyank M.
DM
Divyank M.
10/10/2023
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Verified Current User
Review source: Organic

LG Ad Solutions

It helps to query data and get insights. Especially when you need any data on a custom bases
Neeraj K.
NK
Neeraj K.
Data Science || Machine Learning Enthusiast
10/03/2023
Validated Reviewer
Verified Current User
Review source: Organic

"My coding experince with The Jupyter Notebook"

I was new to coding 4 years ago and I spent almost 2 years at other coding platforms but I was not satisfied. because they do not fulfill my requirements to achieve the goal in the code. Then I came to know about The Jupyter Notebook, In The Jupyter Notebook we can run the code in one cell which is the best thing I really like. if you are working with Jupyter Notebook it's time efficient compiler for Python language. Jupyter Notebook may not require running the entire code and we can easily debug the code cell by cell. and you can easily work there with all Python libraries like Pandas, Numpy, Keras, TensorFlow, etc. if you are working with Python language I think Jupyter Notebook is the first for everyone. I am a data Analyst in my professional career. Now, I also working on Python Jupyter.
Manishwar T.
MT
Manishwar T.
Web Developer | Python || Django || S3 Bucket || Postgresql || AWS || EC2 || Rest API'S || Elastic search|| Web Scraping || Open to New Opportunities.
10/03/2023
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Verified Current User
Review source: G2 invite
Incentivized Review

Compatible Both Online And Offline Coding

The best thing about using The Jupyter Notebook is that it is compatible with both online and offline coding. Sharing the document that contain live coding makes it different from other softwares. It is mostly used for data science projects.

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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