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    Jupyter Notebook is a web-based interactive computational environment for creating Jupyter notebook documents It supports several languages like Python (IPython), Julia, R etc and is largely used for data analysis, data visualization and further interactive, exploratory computing JupyterLab is the next-generation user interface including notebooks It has a modular structure, where you can
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    I am using Jupyter Notebook inside an Anaconda virtual environment and I have a notebook with multiple plots using matplotlib and pandas DataFrames with styled formatting
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    Jupyter Lab (I'd use it over Jupyter Notebook) is a great tool for experimenting with code, doing data visualization, data exploration, quick statistical analysis, and the such
  • Google Colab Vs Jupyter Notebook: Which Is Better For Data . . . - Reddit
    Jupyter is a web-based interface that allows editing, sharing, and executing documents with code cells Colab and Jupyter notebooks provide a nice user interface to write code, plot things or insert interactive plots, share online and collaborate with others The Jupyter notebook was implemented in JavaScript, and the code is available on GitHub
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    Strangely, I can see the two environments when I open the Conda tab on the front page of Jupyter But when I open the Files tab, and try to new a notebook, I still end up with only one kernel I looked at this question: Link Conda environment with Jupyter Notebook But there isn't such a directory as ~ Library Jupyter kernels on my computer!
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    I use Jupyter Notebook to make analysis of datasets There are a lot of plots in the notebook, and some of them are 3d plots I'm wondering if it is possible to make the 3d plot interactive, so I
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    3 To start Jupyter Notebook in Windows: open a Windows cmd (win + R and return cmd) change directory to the desired file path (cd file-path) give command jupyter notebook You can further navigate from the UI of Jupyter notebook after you launch it (if you are not directly launching the right file )





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