I want to create a scheduler that will run every hour in my Flask application. To do this, I use the APScheduler library. Here is the most basic source code I could find online: When I try to run my application, I get the following error: After a bit of research, I found that other people on python 3.9 have
import local package during poetry run
I just transitioned from pipenv to poetry and I’m having trouble importing a package from a local package I’m developing in a few of my scripts. To make this more concrete, my project looks something like: Within myscript.py, I import mypackage. But when I poetry run bin/myscript.py I get a ModuleNotFoundError because the PYTHONPATH does not include the root of
Combination of pair elements within list in a list
I’m trying to obtain the combinations of each element in a list within a list. Given this case: my_list [[‘A’, ‘B’], [‘C’, ‘D’, ‘E’], [‘F’, ‘G’, ‘H’, ‘I’]] The output would be: 0 1 0 A B 1 C D 2 C E 3 D E 4 F G 5 F H 6 F I 7 G H 8 G
python function that logs time & error when a script failed
I’m using python3. I want to print the time a script fails, as well as the corresponding exception in one line. Referring to this link & this one, I tried something like this, but the function didn’t execute. Am I doing something wrong here? Would appreciate suggestions. Answer Your script has multiple problems. (datetime not imported, useless try/except in f_log,
Azure KeyVault: how to retrieve clientId, clientSecret and the tenantId for an existing Service Principal?
The cloud engineer in my organization has set up an Azure KeyVault and a Service Principal. I know the id of this Service Principal, but I also need clientId, clientSecret, and tenantId. The documentation shows that these variables are exposed to you when you create a Service Principal using Azure CLI, but in my case, there is one already. I
Gradient Accumulation with Custom model.fit in TF.Keras?
Please add a minimum comment on your thoughts so that I can improve my query. Thank you. -) I’m trying to train a tf.keras model with Gradient Accumulation (GA). But I don’t want to use it in the custom training loop (like) but customize the .fit() method by overriding the train_step.Is it possible? How to accomplish this? The reason is
tkinter inter-windows drag and drop support
I’m trying to help the owner of tkdnd generate a wheel and distribute it to Pypi so users could simply install the tkdnd extension with a simple pip install TkinterDnD2. I’m after this ‘challange’ for the last two days but could not solve it by myself so far, but I’m sure someone with a deep understanding python packaging and installing
How do I construct an incidence matrix from two dataframe columns using scipy.sparse.coo_matrix((data, (i, j)))?
I have a pandas DataFrame containing two columns [‘A’, ‘B’]. Each column is made up of integers. I want to construct a sparse matrix with the following properties: row index is all integers from 0 to the max value in the dataframe column index is the same as row index entry i,j = 1 if [i,j] or [j,i] is a
How do I write a snakemake input when not all jobs successfully output files from previous rule?
Basically, I have three snakemake rules (other than rule all) and cannot figure this problem out, despite the checkpoint resources. Rule one has my first and only file that I start with. It will have x outputs (the number varies depending on the input file). Each of those x outputs needs to be processed separately in rule 2, meaning that
score calculation takes too long: avoid for loops – python
I am new to python and I need your kindly help. I have three matrices, in particular: Matrix M (class of the matrix: scipy.sparse.csc.csc_matrix), dimensions: N x C; Matrix G (class of the matrix: numpy.ndarray), dimensions: C x T; Matrix L (class of the matrix: numpy.ndarray), dimensions: T x N. Where: N = 10000, C = 1000, T = 20.