Yes setuptools can fully replace distutils for everything distutils.core.setup maps to setuptools.setup distutils.core.Extension maps to setuptools.Extension setuptools is not part of the standard library (hence its absence from the doc) but it is part of the standard python.org distribution. some distributions choose to separate setuptools and pip from the default python package because they don’t … Read more
You could try disabling transitive deps updates by passing –no-update-dependencies or –no-update-deps to conda install command. Ex: conda install –no-update-deps pandas.
That’s because you’re running uvicorn as your only server. uvicorn is not a process manager and, as so, it does not manage its workers life cycle. That’s why they recommend running uvicorn using gunicorn+UvicornWorker for production. That said, you can kill the spawned workers and trigger it’s shutdown using the script below: $ kill $(pgrep … Read more
Just don’t use the result of session.get() as a context manager; use it as a coroutine directly instead. The request context manager that session.get() produces would normally release the request on exit, but so does using response.text(), so you could ignore that here: @asyncio.coroutine def fetch(session, url): with aiohttp.Timeout(10): response = yield from session.get(url) return … Read more
Try this In Jupyter notebook first uninstall the existing numpy by using !pip uninstall numpy. Then install it !pip install numpy. Now restart the kernel (Python Notebook). It will work.
The main differences between them are: mysql-connector-repackaged: is old, do not use it mysql-connector-python 2.0.4: is the original uploaded by MySQL. But it has the problem that does not works with Django >= 1.8. MySQL did not upload yet their stable version 2.1.3 to this repo. mysql-connector-python-rf 2.1.3: is the solution to all your problems … Read more
You can use the typing module for Callable annotations. The Callable annotation is supplied a list of argument types and a return type: from typing import Callable def func_b(func: Callable[[int], int]) -> int: return func(3)
There are two meanings of “built-in” here, although they both mean “part of the interpreter”. The library reference uses it to indicate that a function is available without an import (it is “not part of a module”, although see builtins). The interpreter itself uses it to indicate that a function is implemented natively rather than … Read more
Taking a look at the cpython code on GitHub, we can get some intuition as to why it no longer works. The iterator that is returned essentially requires knowing the position of the last index and the length of the array. If the size of the array is changed, the iterator will no longer work. … Read more