<h1 id="2024-03-01"><a aria-hidden="true" class="anchor-heading icon-link" href="#2024-03-01"></a>2024-03-01</h1>
<h1 id="pamreins-daily-open-notebook-commons-lab"><a aria-hidden="true" class="anchor-heading icon-link" href="#pamreins-daily-open-notebook-commons-lab"></a>PAMREIN's daily Open Notebook (COMMONS Lab)</h1>
<h2 id="todo---check-github"><a aria-hidden="true" class="anchor-heading icon-link" href="#todo---check-github"></a>Todo - <a href="https://github.com/orgs/commons-research/projects/2/views/1">Check Github</a></h2>
<p>-[]</p>
<h2 id="meetings"><a aria-hidden="true" class="anchor-heading icon-link" href="#meetings"></a>Meetings</h2>
<p>None</p>
<h2 id="daily-report-what-did-i-learn"><a aria-hidden="true" class="anchor-heading icon-link" href="#daily-report-what-did-i-learn"></a>Daily report (What did I learn?)</h2>
<p>Which prog language is the best?<br>
Does it depends on the usage or other stuff?
Marco showed me today rust. It looks very easy to use and they have a lot of implemented tools, which are very useful.
Like Julia, it can also work with other packages which increases the possibilties of the language.
<a href="https://survey.stackoverflow.co/2023/">https://survey.stackoverflow.co/2023/</a></p>
<p>polars is a package for python. It is 30x faster than pandas for data wrangling and analysis. It is very useful for data science tasks like feature engineering, data cleaning, etc.
Because the LOTUS dataset is very big, the table of polar has to be increased too. <code>data = pl.read_csv(path_to_file, separator=",", infer_schema_length=1000000)</code></p>
<p>Pickaxe removes stereochemistry by default.
Compounds (SMILES) -> reaction rules (SMARTS - based on JN1224min) -> compounds, reactions, reaction rules, and target molecules (Systems Biology Markup Language (SBML)).</p>
<h3 id="poetry-program-private"><a aria-hidden="true" class="anchor-heading icon-link" href="#poetry-program-private"></a>Poetry <a title="Private" href="https://wiki.dendron.so/notes/hfyvYGJZQiUwQaaxQO27q.html" target="_blank" class="private">#program (Private)</a></h3>
<p>poetry show : shows all available packages in this environment</p>
<h2 id="future-perspective"><a aria-hidden="true" class="anchor-heading icon-link" href="#future-perspective"></a>Future perspective</h2>
<h2 id="keywords"><a aria-hidden="true" class="anchor-heading icon-link" href="#keywords"></a>Keywords</h2>
<p><a href="/commons-dws-public/notes/3ca85tg6eqf78kgql1mj3vl">Abbreviations</a></p>

PAMREIN's daily Open Notebook (COMMONS Lab)

2024-03-01

Concrete steps to access and contribute to the DBGI Dendron


![](/assets/images/allard-lab.jpg)

Welcome the the COMMONS Lab Open Dendron !

In the [COMMONS Lab](https://www.unifr.ch/bio/en/groups/allard/) we intent to follow the [Open Notebook Science](https://en.wikipedia.org/wiki/Open-notebook_science) approach to document our research.

For this we use the [Dendron](https://www.dendron.so/) system as a mean to efficiently capture notes and publish them.

## What is this note

This note is a succinct tutorial note aiming to get you started in the use of the COMMONS Lab Dendron.

## Tutorial

### Dendron. 

#### What is Dendron ?

> Dendron is an open-source, local-first, markdown-based, note-taking tool. Think of it as a cache for everything that you care about - if you've spent more then five minutes solving a problem, you should never spent any more time solving the same exact problem.
> 
> Dendron is a knowledge base built by and for developers and integrates natively with IDEs like VS Code and VSCodium.

#### Where to get more info on Dendron ?

- You can get more information in the Dendron system at the official website www.dendron.so
- All the Dendron documentation is hosted here https://wiki.dendron.so/. It is, obviously, a Dendron itself.

#### Concrete steps to access and contribute to the DBGI Dendron

1. Install [VSCode](https://code.visualstudio.com/download)
2. Install [Dendron](https://marketplace.visualstudio.com/items?itemName=dendron.dendron) from the VSCode marketplace 
3. Clone the COMMONS Dendron repo

    In your terminal
    ```
    git clone https://github.com/commons-research/commons-dws-public.git
    ```
4. In VSCode open (File/Open) the cloned repository.
5. Voila ! You should now be in the COMMONS Lab Open Dendron.

Feel free to explore and contribute.
A first, important step could be to configure VSCode so that you can easily add a daily note. See steps described at [[open-notebook.commons.setup]]


## Questions, comments, suggestions ?

Feel free to contribute here https://github.com/orgs/commons-research/discussions



2024-03-01

PAMREIN's daily Open Notebook (COMMONS Lab)

Todo - Check Github

Meetings

Daily report (What did I learn?)

Poetry #program (Private)

Future perspective

Keywords