#### Option A: Reference colab notebooks

1)  Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.

| 3.x     | ❌ Ended 2021-12-31 | Android 2.3+ (API level 9+) and Java 7+.     |


## Reporting a Vulnerability

Square recognizes the important contributions the security research community
can make. We therefore encourage reporting security issues with the code
contained in this repository.

If you believe you have discovered a security vulnerability, please follow the

cff-version: 1.2.0
message: "If you use TensorFlow in your research, please cite it using these metadata. Software is available from tensorflow.org."
title: TensorFlow, Large-scale machine learning on heterogeneous systems

Serious about security
======================

Square recognizes the important contributions the security research community
can make. We therefore encourage reporting security issues with the code
contained in this repository.

If you believe you have discovered a security vulnerability, please follow the

Çeşitli fikirleri en popüler Python editörlerinde test ettim: PyCharm, VS Code, Jedi tabanlı editörler.

Bu test, en son <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python Developer Survey</a>'ine göre, kullanıcıların yaklaşık %80'inin kullandığı editörleri kapsıyor.

Ich habe mehrere Ideen in den beliebtesten Python-Editoren getestet: PyCharm, VS Code, Jedi-basierte Editoren.

Laut der letzten <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python-Entwickler-Umfrage</a>, deckt das etwa 80 % der Benutzer ab.

Я проверил несколько идей на самых популярных редакторах кода среди Python-разработчиков: PyCharm, VS Code, Jedi.

Данные по редакторам я взял из <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">опроса Python-разработчиков</a>, который охватываает около 80% пользователей.

## 🔧

⤴️ 👤 💸 🕰 🔧 👩‍💻 "🛠️" 👤 💚 ✔️ 👩‍💻 (👩‍💻 ⚙️ FastAPI).

👤 💯 📚 💭 🏆 🌟 🐍 👨‍🎨: 🗒, 🆚 📟, 🎠 🧢 👨‍🎨.

🏁 <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">🐍 👩‍💻 🔬</a>, 👈 📔 🔃 8️⃣0️⃣ 💯 👩‍💻.

---

## 디자인

그 후, **FastAPI** 사용자가 될 개발자로서 사용하고 싶은 개발자 "API"를 디자인했습니다.

[Python Developer Survey](https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools)에 따르면 약 80%의 Python 개발자가 PyCharm, VS Code, Jedi 기반 편집기 등에서 개발합니다. 이 과정에서 여러 아이디어를 테스트했습니다.

대부분의 다른 편집기도 유사하게 동작하기 때문에, **FastAPI**의 이점은 거의 모든 편집기에서 누릴 수 있습니다.

J'ai testé plusieurs idées dans les éditeurs Python les plus populaires : PyCharm, VS Code, les éditeurs basés sur Jedi.

D'après la dernière <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Enquête Développeurs Python</a>, cela couvre environ 80% des utilisateurs.