///

This is a very simple and short tutorial, if you want to learn about databases in general, about SQL, or more advanced features, go to the <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel docs</a>.

## Install `SQLModel` { #install-sqlmodel }

First, make sure you create your [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install `sqlmodel`:

# 💪 - ℹ

## ℹ ❎ ⏮️ `PUT`

ℹ 🏬 👆 💪 ⚙️ <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/PUT" class="external-link" target="_blank">🇺🇸🔍 `PUT`</a> 🛠️.

👆 💪 ⚙️ `jsonable_encoder` 🗜 🔢 💽 📊 👈 💪 🏪 🎻 (✅ ⏮️ ☁ 💽). 🖼, 🏭 `datetime` `str`.

{* ../../docs_src/body_updates/tutorial001.py hl[30:35] *}

`PUT` ⚙️ 📨 💽 👈 🔜 ❎ ♻ 💽.

### ⚠ 🔃 ❎

👈 ⛓ 👈 🚥 👆 💚 ℹ 🏬 `bar` ⚙️ `PUT` ⏮️ 💪 ⚗:

```Python
{

supports pod priority and creation of PriorityClasses ([user doc](https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/))([design doc](https://github.com/kubernetes/community/blob/master/contributors/design-proposals/scheduling/pod-priority-api.md))

* [alpha] This version now supports priority-based preemption of pods ([user doc](https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/))([design doc](https://github.com/kubernetes/community/blob/master/...

# Testing a Database { #testing-a-database }

You can study about databases, SQL, and SQLModel in the <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel docs</a>. 🤓

There's a mini <a href="https://sqlmodel.tiangolo.com/tutorial/fastapi/" class="external-link" target="_blank">tutorial on using SQLModel with FastAPI</a>. ✨

cuda-libraries-dev-12-1
cuda-nvml-dev-12-1
libcufft-12-1
libcurand-12-1
libcusolver-dev-12-1
libcusparse-dev-12-1
libcublas-12-1
libcublas-dev-12-1
libnccl-dev=2.18.3-1+cuda12.1
libnccl2=2.18.3-1+cuda12.1
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.8.0.87-1

cuda-libraries-dev-12-3
cuda-nvml-dev-12-3
libcufft-12-3
libcurand-12-3
libcusolver-dev-12-3
libcusparse-dev-12-3
libcublas-12-3
libcublas-dev-12-3
libnccl-dev=2.19.3-1+cuda12.3
libnccl2=2.19.3-1+cuda12.3
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1

nvidia-cuda-cupti-cu12>=12.5.82,<13.0
nvidia-cuda-nvcc-cu12>=12.5.82,<13.0
nvidia-cuda-nvrtc-cu12>=12.5.82,<13.0
nvidia-cuda-runtime-cu12>=12.5.82,<13.0
# The upper bound is set for the CUDNN API compatibility.
# See
# https://docs.nvidia.com/deeplearning/cudnn/backend/latest/developer/forward-compatibility.html#cudnn-api-compatibility
nvidia-cudnn-cu12>=9.3.0.75,<10.0
nvidia-cufft-cu12>=11.2.3.61,<12.0
nvidia-curand-cu12>=10.3.6.82,<11.0

# Static Files - `StaticFiles`

You can use the `StaticFiles` class to serve static files, like JavaScript, CSS, images, etc.

Read more about it in the [FastAPI docs for Static Files](https://fastapi.tiangolo.com/tutorial/static-files/).

You can import it directly from `fastapi.staticfiles`:

```python
from fastapi.staticfiles import StaticFiles
```

### Revisa la documentación

Ahora puedes iniciar tu app e ir a <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

Verás que tu documentación tiene las *path operations* normales y ahora también algunos **webhooks**:

.ipynb_checkpoints
.mypy_cache
.vscode
__pycache__
.pytest_cache
htmlcov
dist
site
.coverage*
coverage.xml
.netlify
test.db
log.txt
Pipfile.lock
env3.*
env
docs_build
site_build
venv
docs.zip
archive.zip

# vim temporary files
*~
.*.sw?
.cache

# macOS