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Languages & runtimes · #python
A failure needs to be narrowed down before settings are changed or operations retried. Which evidence best separates application errors from environment and dependency problems?
I'm trying to understand the new structural pattern matching syntax in Python 3.10. I understand that it is possible to match on literal values like this: def handle(retcode): match retcode: case 200: print('success') case 404: print('not found') case _: print('unknown') handle(404) # not found However, if I refactor and move these values to module-level var
I read on https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/chatgpt?pivots=programming-language-chat-completions : openai.api_version = "2023-05-15" and on https://learn.microsoft.com/en-us/answers/questions/1193969/how-to-integrate-tiktoken-library-with-azure-opena : openai.api_version = "2023-03-15-preview" This makes me wonder: How
Kaggle Notebooks enforce hard execution limits—typically 12 hours for CPU and 9 hours for GPU instances. When these limits are reached, or a session is manually cancelled, the kernel process terminates immediately, resulting in the loss of all volatile memory state not explicitly committed to the /kaggle/working directory. Because the environment may not rel
I have been having issues with openssl and python@2 with brew, which have explained here (unresolved) . The documented workaround to reinstall Python and openssl was not working, so I decided I would uninstall and reinstall Python. The problem is, when you try to install Python 2 with brew, you receive this message: brew install python@2 Error: No available
I've just upgraded from Fedora 32 to Fedora 33 (which comes with Python 3.9). Since then gcloud command stopped working: [guy@Gandalf32 ~]$ gcloud Error processing line 3 of /home/guy/.local/lib/python3.9/site-packages/XStatic-1.0.2-py3.9-nspkg.pth: Traceback (most recent call last): File "/usr/lib64/python3.9/site.py", line 169, in addpackage exec(line) Fil
I have a simple API function as below, from fastapi import FastAPI app = FastAPI() @app.get("/") async def read_root(): return {"Hello": "World"} I am starting the server using uvicorn command as, uvicorn main:app Since we are not calling any python file directly , it is not possible to call uvicorn command from Pycharm. So, How can I run the fast-api server
I am getting the error ImportError: cannot import name 'escape' from 'jinja2' When trying to run code using the following requirements.txt : chart_studio==1.1.0 dash==2.1.0 dash_bootstrap_components==1.0.3 dash_core_components==2.0.0 dash_html_components==2.0.0 dash_renderer==1.9.1 dash_table==5.0.0 Flask==1.1.2 matplotlib==3.4.3 numpy==1.20.3 pandas==1.3.4
I want to generate a list of dates between two dates and store them in a list in string format. This list is useful to compare with other dates I have. My code is given below: from datetime import date, timedelta sdate = date(2019,3,22) # start date edate = date(2019,4,9) # end date def dates_bwn_twodates(start_date, end_date): for n in range(int ((end_date
kaggle
homebrew
fedora
fastapi
pycharm
pandas