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.gitignore
.idea .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
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docs/en/docs/contributing.md
Once you are done, you can also test it all as it would look online, including all the other languages. To do that, first build all the docs: <div class="termy"> ```console // Use the command "build-all", this will take a bit $ python ./scripts/docs.py build-all Building docs for: en Building docs for: es Successfully built docs for: es ``` </div>
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docs/em/docs/contributing.md
👈, 🥇 🏗 🌐 🩺: <div class="termy"> ```console // Use the command "build-all", this will take a bit $ python ./scripts/docs.py build-all Updating es Updating en Building docs for: en Building docs for: es Successfully built docs for: es Copying en index.md to README.md ``` </div> 👈 🏗 🌐 🩺 `./docs_build/` 🔠 🇪🇸. 👉 🔌 ❎ 🙆 📁 ⏮️ ❌ ✍, ⏮️ 🗒 💬 👈 "👉 📁 🚫 ✔️ ✍". ✋️ 👆 🚫 ✔️ 🕳 ⏮️ 👈 📁.
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docs/en/docs/benchmarks.md
* **Starlette**: * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code. * But it provides you the tools to build simple web applications, with routing based on paths, etc. * If you are comparing Starlette, compare it against Sanic, Flask, Django, etc. Web frameworks (or microframeworks). * **FastAPI**:
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docs/en/docs/alternatives.md
## Previous tools ### <a href="https://www.djangoproject.com/" class="external-link" target="_blank">Django</a> It's the most popular Python framework and is widely trusted. It is used to build systems like Instagram. It's relatively tightly coupled with relational databases (like MySQL or PostgreSQL), so, having a NoSQL database (like Couchbase, MongoDB, Cassandra, etc) as the main store engine is not very easy.
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docs/fr/docs/deployment/docker.md
* Allez dans le répertoire du projet (dans lequel se trouve votre `Dockerfile`, contenant votre répertoire `app`). * Construisez votre image FastAPI : <div class="termy"> ```console $ docker build -t myimage . ---> 100% ``` </div> ## Démarrer le conteneur Docker * Exécutez un conteneur basé sur votre image : <div class="termy"> ```console
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docs/it/docs/index.md
</p> <p align="center"> <a href="https://travis-ci.com/tiangolo/fastapi" target="_blank"> <img src="https://travis-ci.com/tiangolo/fastapi.svg?branch=master" alt="Build Status"> </a> <a href="https://codecov.io/gh/tiangolo/fastapi" target="_blank"> <img src="https://img.shields.io/codecov/c/github/tiangolo/fastapi" alt="Coverage"> </a>
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docs/en/docs/advanced/generate-clients.md
This also means that if something changed it will be **reflected** on the client code automatically. And if you **build** the client it will error out if you have any **mismatch** in the data used.
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docs/pl/docs/index.md
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docs/ru/docs/deployment/docker.md
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