Introducing Jupyter Notebook and Jupyter Lab

Fundamentals and practice in Jupyter Notebook and Jupyter Lab.

Jupyter notebook is an interactive environment for computation. It supports Julia, R, Python, and various other kernels. Jupyter Lab is a modular user interface.

• writing and running Jupyter Notebooks

Adding Kernels for Python, R, and Julia

Default kernel in JupyterLab is Python (ipykernel). You can run JupyterLab notebook in different kernels.

R

To install the kernel for R, use Anaconda Prompt command for an active environment, default is base (root):

conda install -c r r-essentials

Julia

For Julia kernel, create new Python environment (f.i. julia-env), change active environment activate julia-env.

Download and install the current version from https://julialang.org/downloads/.

Run Julia. In Julia command line enter:

using Pkg
Pkg.add("IJulia")

After installation, the kernel option will show in JupyterLab.

• enter Julia Pkg REPL-mode with [, exit with Backspace

Terminal commands

You can run terminal commands in a cell.

!conda --version
!conda --help

note

Goals.

info

Goals.

caution

Goals.

danger

Goals.

Use tabs in admonitions

Apple

This is an apple 🍎

npm run build

Orange

This is an orange 🍊

Banana

This is a banana 🍌

docs/hello.md

# Hello

This is my **first Docusaurus document**!

# Hello

This is my **first Docusaurus document**!

CLICK ME

yes, even hidden code blocks!

chaptertest

print("hello world!")

Em Dash (—) En Dash (–)

Ctrl+Alt+0

Soubor ‣ Nový ‣ Obecné. (File ‣ New ‣ General)