python-getting-started
fastapi
python-getting-started | fastapi | |
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37 | 471 | |
827 | 71,659 | |
0.5% | - | |
6.0 | 9.8 | |
9 days ago | 5 days ago | |
Python | Python | |
- | MIT License |
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python-getting-started
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FastAPI Got Me an OpenAPI Spec Really... Fast
For those of you who are new to Python (as I am), I used the Getting Started on Heroku with Python documentation as a helpful guide.
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LangChain, Python, and Heroku
After setting up a Heroku account, we’re nearly ready to deploy. Let’s walk through the steps.
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Having issues with static file storage when deploying a django 4.2 project
I did set that as the video tutorial from codemy.com that I was watching instructed to do so. But I was able to solve this issue I believe by following the settings.py file on this Github repo (which included moving the whitenoise middleware after the security middleware) and adding STATICFILES_DIRS = BASE_DIR / 'static' (along with deleting the old syntax that I had commented out) while following the steps (including manually running 'python manage.py collectstatic') on this Stack Overflow answer. Now time will tell if the static files will persist or if I will run into an issue when the Heroku dyno restarts.
- Good free tier deployment apps for Django and sqllite3 ?
- My first python project and my friends don't care and dont want to open it
- what is needed next to deploy my django webapp?
- How to use heroic for excel python app
- python script host
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How to deploy
Here's Heroku's own guide to hosting a python site: https://devcenter.heroku.com/articles/getting-started-with-python
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Error trying to install Postgres for python (psycopg2)
(venv)avlahop@apostolos-laptop:~/development/django/rhombus-dental$ sudo pip install psycopg2Downloading/unpacking psycopg2,Downloading psycopg2-2.5.2.tar.gz (685kB): 685kB downloadedRunning setup.py egg_info for package psycopg2Installing collected packages: psycopg2 Running setup.py install for psycopg2 building 'psycopg2.\_psycopg' extension x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall Wstrict-prototypes -fPIC -DPSYCOPG_DEFAULT_PYDATETIME=1 -DPSYCOPG_VERSION="2.5.2 (dt dec pq3 ext)" -DPG_VERSION_HEX=0x09010D -DPSYCOPG_EXTENSIONS=1 -DPSYCOPG_NEW_BOOLEAN=1 -DHAVE_PQFREEMEM=1 -I/usr/include/python2.7 -I. -I/usr/include/postgresql -I/usr/include/postgresql/9.1/server -c psycopg/psycopgmodule.c -o build/temp.linux-x86_64-2.7/psycopg/psycopgmodule.o -Wdeclaration-after-statement In file included from psycopg/psycopgmodule.c:27:0: ./psycopg/psycopg.h:30:20: fatal error: Python.h: Δεν υπάρχει τέτοιο αρχείο ή κατάλογος #include ^ compilation terminated. error: command 'x86\_64-linux-gnu-gcc' failed with exit status 1 Complete output from command /usr/bin/python -c "import setuptools;\_\_file\_\_='/tmp/pip\_build\_root/psycopg2/setup.py';exec(compile(open(\_\_file\_\_).read().replace('\r\n', '\n'), \_\_file\_\_, 'exec'))" install --record /tmp/pip-SgfQCA-record/install-record.txt --single-version-externally-managed:running installrunning buildrunning build_pycreating buildcreating build/lib.linux-x86_64-2.7creating build/lib.linux-x86_64-2.7/psycopg2copying lib/pool.py -> build/lib.linux-x86_64-2.7/psycopg2copying lib/errorcodes.py -> build/lib.linux-x86_64-2.7/psycopg2copying lib/__init__.py -> build/lib.linux-x86_64-2.7/psycopg2copying lib/_json.py -> build/lib.linux-x86_64-2.7/psycopg2copying lib/_range.py -> build/lib.linux-x86_64-2.7/psycopg2copying lib/extensions.py -> build/lib.linux-x86_64-2.7/psycopg2copying lib/psycopg1.py -> build/lib.linux-x86_64-2.7/psycopg2copying lib/tz.py -> build/lib.linux-x86_64-2.7/psycopg2copying lib/extras.py -> build/lib.linux-x86_64-2.7/psycopg2creating build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/testconfig.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopyng tests/test_bug_gc.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_dates.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_copy.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_cancel.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_bugX000.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_extras_dictcursor.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_psycopg2_dbapi20.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_types_basic.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_async.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_lobject.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_cursor.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_with.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/__init__.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_types_extras.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/testutils.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_notify.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_green.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_quote.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_connection.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_transaction.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/dbapi20.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/test_module.py -> build/lib.linux-x86_64-2.7/psycopg2/testscopying tests/dbapi20_tpc.py -> build/lib.linux-x86_64-2.7/psycopg2/testsrunning build_extbuilding 'psycopg2.\_psycopg' extensioncreating build/temp.linux-x86_64-2.7creating build/temp.linux-x86_64-2.7/psycopgx86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -DPSYCOPG_DEFAULT_PYDATETIME=1 -DPSYCOPG_VERSION="2.5.2 (dt dec pq3 ext)" -DPG_VERSION_HEX=0x09010D -DPSYCOPG_EXTENSIONS=1 -DPSYCOPG_NEW_BOOLEAN=1 -DHAVE_PQFREEMEM=1 -I/usr/include/python2.7 -I. -I/usr/include/postgresql -I/usr/include/postgresql/9.1/server -c psycopg/psycopgmodule.c -o build/temp.linux-x86_64-2.7/psycopg/psycopgmodule.o -Wdeclaration-after-statementIn file included from psycopg/psycopgmodule.c:27:0:./psycopg/psycopg.h:30:20: fatal error: Python.h: No such file or directory #include ^compilation terminated.error: command 'x86\_64-linux-gnu-gcc' failed with exit status 1----------------------------------------Cleaning up...Command /usr/bin/python -c "import setuptools;\_\_file\_\_='/tmp/pip\_build\_root/psycopg2/setup.py';exec(compile(open(\_\_file\_\_).read().replace('\r\n', '\n'), \_\_file\_\_, 'exec'))" install --record /tmp/pip-SgfQCA-record/install-record.txt --single-version-externally-managed failed with error code 1 in /tmp/pip_build_root/psycopg2Traceback (most recent call last): File "/usr/bin/pip", line 9, in load_entry_point('pip==1.4.1', 'console\_scripts', 'pip')() File "/usr/lib/python2.7/dist-packages/pip/\_\_init\_\_.py", line 148, in main return command.main(args[1:], options) File "/usr/lib/python2.7/dist-packages/pip/basecommand.py", line 169, in main text = '\n'.join(complete_log)UnicodeDecodeError: 'ascii' codec can't decode byte 0xce in position 54: ordinal not in range(128) I also get errors trying to install gunicorn. I followed this example here but nothing. My virtual environment was created using the --no-site-packagesflag. I use ubuntu 13.10 and greek environment. Maybe it's that?
fastapi
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Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
What are some alternatives?
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AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
sample-django-docker - A sample of using Django with Docker and docker-compose
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elastic-beanstalk-roadmap - AWS Elastic Beanstalk roadmap
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
landing-django
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
heroku_ebooks - An archive of a script to generate Markov chains and to post to an _ebooks account on Twitter using Heroku. No longer actively supported.
Flask - The Python micro framework for building web applications.
nyc311_housing_buildings_analysis - NYC311 Housing and Buildings Complaint Analysis
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.