Ctrl+K

Build Part 2: User dsci

Build Part 2: User dsci#

Already done: installation of the basic system, see Build Part 1: user install.

This section: user defined software and configurations.

The user dscidsci deliberately is not part of the sudo group. In order to install some software you need to know the password of the user install.

customize background image#

copy your user definded background image into /usr/share/xfce4/backdrops/

select image in Whisker-Menue > Settings > LightDM GTK+ Greeter

  • enter install password

  • select background image

(Mini-)Conda#

https://docs.conda.io/projects/conda/en/stable/user-guide/install/linux.html

Miniconda Installer: https://docs.conda.io/projects/miniconda/en/latest/ > Quick command line install:

mkdir -p ~/miniconda3
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3
rm -rf ~/miniconda3/miniconda.sh
~/miniconda3/bin/conda init bash

==> For changes to take effect, close and re-open your current shell. <==

Why close and open? In an earlier step you have installed conda. Conda puts an extra virtual environment layer over the standard Python installation, so we can work with multiple Python configurations in parallel. To learn more about virtual environments:

Your termial command line now should start with (base), which is the name of your current virtual environment:

(base) dsci@dsci-lab-ss24:~$

Keep conda current:

conda update --all

(Note:Instead of installing miniconda you instead want to install anaconda (https://www.anaconda.com/products/individual). Anaconda is much more complete than miniconda, but IMHO fo “fat”. In our dsci-lab we prefer a lightweight system. This allows you to look more easily “under the hood”, to understand what’s going on, and to maintain the whole system - the dependencies in our setup are complex enough anyhow.)

Install python packages into the virtual conda environment base#

As said: Conda is minimalistic. Tus we have to install some modules by ourselfes.

Some important ones are:

pip install pandas numpy matplotlib scikit-learn seaborn rdflib owlrl markdownify lxml markdown python-slugify jupyter-book  jupytext

Notes:

  • We do install these packages into the virtual conda environment base. If we decide to create another virtual conda environment, it will be empty again, and we have to populate it with libraries again. This is the reason (a) why we prefer lightweight environments, and (b) why we want to learn how to install libraries by ourselfes.

  • Caveat: Install Conda not with sudo, but instead with the role of a normal user. Every user and every virtual conda environment are completely independent from each other. There is no system-wide installation.

Jupyterbook#

Test the jupyterbook installation: Build the book according to https://jupyterbook.org/start/build.html

mkdir -p ~/c
cd ~/c
jb create jupyterbook-test

build html:

jb build test
firefox test/_build/html/index.html &

build pdf via LaTeX:

jb build test --builder pdflatex
atril test/_build/latex/book.pdf &

vscode#

As of 2024 we recommend Microsoft Visual Studio Code (aka VS Code) https://code.visualstudio.com/docs/python/python-tutorial:

snap install code --classic

spaCy (not used in 2024)#

https://spacy.io/usage :

  • Linux, X86, conda, CPU

  • NO virtual env

  • Trained pipelines: English, German

conda install -c conda-forge spacy
python -m spacy download en_core_web_sm
python -m spacy download de_core_news_sm

PyCharm (not used in 2024)#

Warning: PyCharm is HUGE, we do not use it. (Rather try Visual Studio Code). However, if you want to play with PyCharm:

https://www.jetbrains.com/help/pycharm/installation-guide.html:

  • RAM: 4 GB (min), 8 GB (recommended)

  • Disk space: 2.5 GB and another 1 GB for caches (min), SSD drive with at least 5 GB of free space (recommended)

  • how to install: Standalone installation > Linux > Install using snap packages > Community Edition (same as https://snapcraft.io/install/pycharm-community/ubuntu)

sudo snap install pycharm-community --classic

get started with PyCharm: https://www.jetbrains.com/help/pycharm/quick-start-guide.html

Run pycharm-community in the Terminal.

TBD: initially configure PyCharm

  • point to our conda virtual environment, including python 3.9 interpreter

Zotero#

siehe r_zotero

mystmd#

Install and init mystmd according to https://mystmd.org/guide/quickstart:

conda install -c conda-forge 'nodejs>=20,<21'
conda install mystmd -c conda-forge
git clone https://github.com/executablebooks/mystmd-quickstart.git
cd mystmd-quickstart
myst init

Some frequently useful commands:

Start local server:

myst start

Build static html: https://mystmd.org/guide/deployment#creating-static-html:

myst build --html

Build pdf via LaTeX (and yes, LaTeX is already installed to work with myst): https://mystmd.org/guide/creating-pdf-documents#exporting-to-pdf

myst build my-document.md --pdf
Contents