Incluindo como manipular estado do lifespan que pode ser usado em outras áreas do seu código.

///

## Sub Aplicações

Including how to handle lifespan state that can be used in other areas of your code.

///

## Sub Applications

`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

Since any tenants or users providing models, graphs or checkpoints can execute

author_link: https://www.linkedin.com/in/shahriyar-rzayev/ link: https://www.azepug.az/posts/fastapi/#building-simple-e-commerce-with-nuxtjs-and-fastapi-series title: Building simple E-Commerce with NuxtJS and FastAPI - author: Rodrigo Arenas author_link: https://rodrigo-arenas.medium.com/ link: https://medium.com/analytics-vidhya/serve-a-machine-learning-model-using-sklearn-fastapi-and-docker-85aabf96729b title: "Serve a machine learning model using Sklearn, FastAPI and Docker" - author: Yashasvi Singh...

the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a
non-guaranteed backward compatible API for

* 📝 Add external link: Serve a machine learning model using Sklearn, FastAPI and Docker. PR [#2974](https://github.com/tiangolo/fastapi/pull/2974) by [@rodrigo-arenas](https://github.com/rodrigo-arenas).
* ✏️ Fix typo on docstring in datastructures file. PR [#2887](https://github.com/tiangolo/fastapi/pull/2887) by [@Kludex](https://github.com/Kludex).

nrstott, Nutti, Parag Jain, PeterLee, Philipp Jund, Rach L, Rafal Wojdyla,
Roland Zimmermann, Sergei Lebedev, SneakyFish5, Soila Kavulya, Sriram Veturi,
Steven Schmatz, Taehoon Lee, Tang, Wenyi, Taras Sereda, Ted Chang, Tim Zaman,
Tristan Rice, tucan, vchigrin, Vikram Tiwari, Vincent, WeberXie, William D.
Irons, Yan Facai (颜发才), Yong Tang, Yu Yi, Yuxin Wu, Zé ViníCius

# Release 1.9.0