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docs/en/docs/alternatives.md
Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask. !!! check "Inspired **FastAPI** to" Be a micro-framework. Making it easy to mix and match the tools and parts needed. Have a simple and easy to use routing system.
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tests/test_security_oauth2_optional.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 10.8K bytes - Viewed (0) -
docs/en/docs/tutorial/security/oauth2-jwt.md
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tests/test_security_oauth2.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 10.7K bytes - Viewed (0) -
docs/en/docs/tutorial/query-params-str-validations.md
## Add regular expressions You can define a <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">regular expression</abbr> `pattern` that the parameter should match: === "Python 3.10+" ```Python hl_lines="11" {!> ../../../docs_src/query_params_str_validations/tutorial004_an_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="11"
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tests/test_security_oauth2_optional_description.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 10.9K bytes - Viewed (0) -
docs/en/docs/tutorial/security/simple-oauth2.md
Let's put that data in the Pydantic `UserInDB` model first. You should never save plaintext passwords, so, we'll use the (fake) password hashing system. If the passwords don't match, we return the same error. #### Password hashing "Hashing" means: converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.
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docs/en/docs/async.md
That, plus the simple fact that Python is the main language for **Data Science**, Machine Learning and especially Deep Learning, make FastAPI a very good match for Data Science / Machine Learning web APIs and applications (among many others). To see how to achieve this parallelism in production see the section about [Deployment](deployment/index.md){.internal-link target=_blank}.
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scripts/docs.py
content = en_index.read_text("utf-8") match_pre = re.search(r"</style>\n\n", content) match_start = re.search(r"<!-- sponsors -->", content) match_end = re.search(r"<!-- /sponsors -->", content) sponsors_data_path = en_docs_path / "data" / "sponsors.yml" sponsors = mkdocs.utils.yaml_load(sponsors_data_path.read_text(encoding="utf-8")) if not (match_start and match_end):
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