> For the complete documentation index, see [llms.txt](https://report.pytogo.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://report.pytogo.org/pycon-togo-2025-post-conference-report/fr/contexte-de-la-conference/sessions.md).

# Sessions

PyCon Togo 2025 proposait **13 sessions au total**, conçues pour offrir à la fois un apprentissage technique et un engagement communautaire :

* **Ateliers (2)**: Sessions pratiques animées par Denis Akpagnonité (DevOps) et Serge Koudoro (Ingénierie des systèmes intelligents).
* **Conférences standard (9)**: Couvrant un large éventail de sujets tels que l'ingénierie logicielle, la science des données, le machine learning, l'IA/l'IA générative, la contribution au logiciel libre, l'éducation et le développement communautaire.
* **Table ronde (1)**: Un échange interactif sur la technologie, l'entrepreneuriat et l'innovation en Afrique.
* **Présentation éclair (1)**: Une présentation courte et percutante sur la HealthTech par Koami Afantchao Aziabou.

Ensemble, ces sessions ont offert aux participants une **expérience complète**, alliant compétences pratiques, profondeur technique et discussions tournées vers l'avenir.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://report.pytogo.org/pycon-togo-2025-post-conference-report/fr/contexte-de-la-conference/sessions.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
