Jupyter Notebook Description
The Jupyter Notebook is a web-based open-source tool that enables users to create and distribute documents featuring live code, visualizations, equations, and written explanations. Its applications are diverse and encompass tasks such as data cleaning and transformation, statistical modeling, numerical simulations, data visualization, machine learning, among others, showcasing its versatility in various fields. Additionally, it serves as an excellent platform for collaboration and sharing insights within the data science community.
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Jupyter Notebook User Reviews
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Fantastic coding suite Date: Jun 15 2021
Summary: Very positive experience using this. Jupyter is a fantastic coding tool for zero to low experienced coders.
Positive: Step-by-step casual coders like me dream of such a simple software. I use the tool to execute simple Python scripts and Jupyter is far easier to code on that Visual Studio or even the Python shell itself. Keyboard shortcuts make it even easier to use.
Negative: Would be better if installation is easier. I had to watch a few YouTube videos to understand how to start installation.
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Best notebook for Python Edited: Aug 26 2020
Summary: I use Jupyter for practicing python codes for Machine Learning, and I love it so far. Apart from the initial load time, and the unimpressive interface, it is an excellent tool for writing and debugging code.
Positive: • It is web-based, so saves you a lot of space.
• Allows you to import your own code in many formats.
• You can also work with visuals and charts.
• I like that you can code line-by-line or all at once with ctrl + Enter shortcut, which is very useful for debugging.
• Mostly, I like that it is also a great tool for teaching and practicing machine learning.Negative: • It gets buggy at times, and takes some time to load initially.
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• Can be slow even on high speed networks.
• The interface is pretty old fashioned.
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