python-package | Template to create Python packages

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 process could help as solve it in short time.

currently in order to get this extension work you need to do the following steps(as mentioned here):

1. download the compiled tkdnd files for your os. now go to your base interpreter directory/tcl and copy this folder under. for example:

I am learning Python specifically for data science and have little programming language although I'm a bit more familiar with R.

I installed some modules e.g. pandas and matplotlib, using the code:

I have a requirement for inserting SVG file into Word. Since, we cannot do this directly I am planning to convert SVG to EMF and insert it. Conversion from SVG to EMF works fine using the inkscape. However, I am unable to come up with right code for inserting it into Word. I followed the steps explained the the person Alvaro in this post. Have shown the steps followed in the attached file -

This is my code -

However, when I run the code shown in the attachment - It still throws docx.image.exceptions.UnrecognizedImageError. The Contributor of the library on github claims that this library addresses this issue. If so then please let me know if I am missing anything.

I am able to insert the EMF file successfully manually. Attaching the doc by inserting the EMF. This EMF was downloaded from the internet for testing.

I need to have private Python packages in GCP usable in multiple projects. I haven't tried the Artifact Registry since that's still in alpha, so right now I've been trying with simple repositories, but I'm open to alternatives.

I have a Python package source code in a GCP Repository in Project A, and I have a cloud function in a repository also in Project A. In this cloud function I import the mentioned package by adding git+https://source.developers.google.com/p/project-a/r/my-python package in my requirements.txt file.

If I deploy this cloud function in Project A via gcloud functions in my terminal, specifying --source=https://source.developers.google.com/projects/project-a/repos/my-cloud-function and --project=project-a, it works fine, and the function can successfully import the elements from the package when I call it, but if I deploy this function in Project B instead, I get the following error:

I'm trying to add mecab library to aws lambda layer but it didn't work.

What I want is to tokenize Japanese and Korean languages. Tokenizing is enough.

Here's what I have done. (I referred to this site: https://towardsdatascience.com/how-to-install-python-packages-for-aws-lambda-layer-74e193c76a91 for installing python packages for aws lambda layers)

1. AWS EC2 docker installation.

2. Build docker file

I followed the instructions here to set up and remove a python lambda function (and associated AWS resources).

When I try to clean up the function, role-policy and role, the instructions failed because the CLI does not manage to find the attached role policies. In particular, if I run:

I have a python package, and I am using poetry for dependency management and packaging.

In my local environment, I am using tox to test the package in multiple python version.

How can I use GitHub actions to test my package, everytime there is a push or pull request ?

Things that I have tried:

• https://github.com/actions/starter-workflows/blob/main/ci/python-package.yml (this official action installs via pip and requirements.txt, but I am using poetry)
• https://github.com/abatilo/actions-poetry (this action, can install poetry, but using pip, which is not recommended by poetry, as it can cause conflict with my application dependencies, see issue )
• https://github.com/ymyzk/tox-gh-actions (should I use this ? why not rather run pytest in every matrix (of github actions), this action seems to defeat the purpose of tox)

I want to test my python code in gh-actions.

in my situation, what should I actually use ?

what are the best practices ? and most optimum tool

I'm trying to use the code from this repository. The problem is that it isn't a package (I think?) because it can't be found on PyPI and there's no setup.py file (so I can't use pip install git+). How would I then be able to use this code in my project?

I've already read this question, which also involved not having a setup.py file, but the answer seems unsatisfactory to me. I'm under the impression that it wouldn't allow my project to be run on someone else's pc without them also manually installing the code from the aforementioned repo.

I've also thought about just downloading the code and adding a setup.py myself, but I think that would produce the same problem.

I'm clearly a little unclear on this subject and I can't find any explanation/solution anywhere else.

After referring to this link I was able to successfully implement incremental learning using XGBoost. I want to build a classifier and need to check the predict probabilities i.e. predict_proba() method. This is not possible if I use XGBoost. While implementing XGBClassifier.fit() instead of XGBoost.train() I am not able to perform incremental learning. The xgb_model parameter of the XGBClassifier.fit() takes the XGBoost while I want to provide an XGBClassifier.

Is it possible to perform incremental learning of XGBClassifier since I need to make use of predict_proba() method?

Working Code: