This goes a long way in encouraging best practices, and will save you massive headaches in the long run.
Conda install jupyter lab how to#
If that sounds attractive to you then this tutorial will show you how to install JupyterLab, set up your first virtual environment, and get Jupyter up and running.Īnaconda is not the only way to use Jupyter, but it has the massive advantage of easy to manage virtual environments. It doesn't take long to get comfortable with it though, and once you do you'll find it will improve your workflow from production to presentation. The only notable draw back is that the set up and learning curve is a bit more difficult than something like R studio. Industry standard computing environment for data science.High customization with single-click installation extensions.Makes presentation of code attractive and easy.Easy replication through virtual environments.Program in Python, R, Julia, Latex, and many other languages.Here's a quick look at some of the most significant advantages:
If you only use R, I recommend sticking with R studio. JupyterLab can replace these applications with a single platform that will streamline your work and make it easier to reproduce. I highly recommend JupyterLab for anyone that uses Python and R regularly. R studio for R, Spyder for Python, Overleaf for Latex, Atom for other languages, etc. Researchers often juggle a suite of software applications.
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