python-datascientist/index.qmd at master · daniel-odc/python-datascientist · GitHub

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---
toc: false
sidebar: false
title-block-style: none
css: homepage.css
listing:
    id: sample-listings
    contents: content/**/*.qmd
    type: grid
    sort: "number"
    categories: true
    #fields: [image, title, github, gitlab]
    #template: cards.ejs
---


::: {#hero-banner .column-screen}

:::: {.grid .column-page}

::::: {.headline .g-col-lg-6 .g-col-12 .g-col-md-12}

:::::: h1
Python pour la _data science_ {{< fa brands python >}}
::::::

:::::: h2
Lino Galiana
::::::

```{=html}
<a class="github-button" href="https://github.com/linogaliana/python-datascientist" data-icon="octicon-star" data-size="large" data-show-count="true" aria-label="Star this website on Github">Star this website on Github</a><script async defer src="https://buttons.github.io/buttons.js"></script>
```

<br>

Ce site web rend public le contenu du cours de deuxième année (Master 1) de l'ENSAE:
[*Python pour la data-science*](https://www.ensae.fr/courses/1425-python-pour-le-data-scientist)
<a href="https://github.com/linogaliana/python-datascientist" class="github"><i class="fab fa-python"></i></a>

Tout est présent sur ce site _web_ ! Des `Notebooks Jupyter` peuvent être récupérés pour s'exercer. L'ensemble des codes sources est stocké sur [Github](https://github.com/linogaliana/python-datascientist)
<a href="https://github.com/linogaliana/python-datascientist" class="github"><i class="fab fa-github"></i></a>

<br>


:::::

::::: {.g-col-lg-6 .g-col-12 .g-col-md-12}
![](./word.png)
:::::

::::

:::

<br>

## Thèmes en vrac {.unnumbered}

Pour découvrir `Python` {{< fa brands python >}} de manière thématique


::: {#sample-listings}
:::


```{python}
#| include: false
#| eval: false
import os
import glob
import yaml

list_files = glob.glob("./content/**/*.qmd", recursive=True)
posts = [l for l in list_files if l.endswith('.qmd') ]

def extract_slug_from_markdown(file_path):
    with open(file_path, 'r') as file:
        content = file.read()
        front_matter = yaml.safe_load(content.split('---', 2)[1])

        if isinstance(front_matter, dict) and 'slug' in front_matter:
            slug = front_matter['slug']
            return slug

        return None


# Extract the slugs
slugs = {post: extract_slug_from_markdown(post) for post in posts if extract_slug_from_markdown(post) is not None}

# Lines to insert in a Netlify _redirect file
redirects = [f"/{slug} /posts/{post}" for slug, post in zip(slugs, posts)]

# Write the _redirect file
with open("_site/_redirects", "w") as f:
    f.write("\n".join(redirects))

```