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Best tools for Jupyter notebooks


The jupyter notebook is now a default format for scripting in many areas of computer engineering and education like data science, machine learning, and artificial intelligence. But what are the most efficient practices to work with Jupyter notebooks to get the most out of this technology? In this talk Dmitry Trofimov, team lead of PyCharm IDE, will show how different tools help you solve your daily tasks using Jupyter notebooks: JupyterLab, Hydrogen plugin for Atom, VS Code, and PyCharm (all tools are open-sourced). We will discuss their pros and cons and look at them in action.


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