toolz | A functional standard library for Python | Functional Programming library

The error error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' was caused by py2app trying to build the program bundle using a non-existent interpreter. This means that even if you try to uninstall a manager like Anaconda, it still has option logs somewhere on your mac.

The fix:

1. Open the terminal and type the command type -a python.

• You will see similar lines

Streamlit share runs the app in a linux environment meaning there is no pywin32 because this is for windows.

Delete the pywin32 from the requirements file and also the pywinpty==1.1.6 for the same reason.

After deleting these requirements re-deploy your app and it will work.

This solves fine (), but is indeed a complex solve mainly due to:

• underspecification
• lack of modularization

This particular environment specification ends up installing well over 300 packages. And there isn't a single one of those that are constrained by the specification. That is a huge SAT problem to solve and Conda will struggle with this. Mamba will help solve faster, but providing additional constraints can vastly reduce the solution space.

At minimum, specify a Python version (major.minor), such as python=3.9. This is the single most effective constraint.

Beyond that, putting minimum requirements on central packages (those that are dependencies of others) can help, such as minimum NumPy.

I assume the name "devenv" means this is a development environment. So, I get that one wants all these tools immediately at hand. However, Conda environment activation is so simple, and most IDE tooling these days (Spyder, VSCode, Jupyter) encourages separation of infrastructure and the execution kernel. Being more thoughtful about how environments (emphasis on the plural) are organized and work together, can go a long way in having a sustainable and painless data science workflow.

The environment at hand has multiple red flags in my book:

• conda-build should be in base and only in base
• snakemake should be in a dedicated environment
• notebook (i.e., Jupyter) should be in a dedicated environment, co-installed with nb_conda_kernels; all kernel environments need are ipykernel

I'd probably also have the linting/formatting packages separated, but that's less an issue. The real killer though is snakemake - it's just a massive piece of infrastructure and I'd strongly encourage keeping that separated.

You can check this link for the correct installation

https://chain.link/bootcamp/brownie-setup-instructions

Try installing Cython first with pip install Cython and see if it solves the problem.

Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to

By looping through all my installed fonts I was able to find a font that displays the correct character. In my case it was "Segoe UI Symbol".

I'd probably call the first two mapAndFold and mapAndReduce (though I agree that mapFold and mapReduce would be good names if they were not already taken). Alternatively, I'd go with mapThenFold (etc.), which is perhaps more explicit, but it reads a bit cumbersome.

For the more complex ones, reduceBy and foldBy sound good. The issue is that this would not work if you also wanted a version of those functions that do not do the mapping operation. If you wanted that, you'd probably need mapAndFoldBy and mapAndReduceBy (as well as just foldBy and reduceBy). This gets a bit ugly, but I'm afraid that's the best you can do.

More generally, the issue when comparing names with Python is that Python allows overloading whereas F# functions do not. This means that you need to have a unique name for functions that would have multiple overloads. This means that you just need to come up with a consistent naming scheme that will not make the names unbearably long.

(I experienced this when coming up with names for the functions in the Deedle library, which is somewhat inspired by Pandas. You can see for example the aggregation functions in Deedle for an example - there is a pattern in the naming to deal with the fact that each function needs a unique name.)

EDIT: a streamlit example was added to the examples of pynsist repo. There you can find a minimal and refined example of a working application (which also includes plotly).

ORIGINAL ANSWER

Finally I get it to work. In my last attempt, I made a mistake by setting --server.headless=false, while it must be true instead. I found that an additional flag to the streamlit run command is needed: --global.developmentMode=false. This make the deploy work, even if I could not find any reference to this configuration in the streamlit configurations.

Working code follows.

Project structure

Are you sourcing your venv before running test.py?

If so, then try this,