pyc | Compile Python code to binary

I am working on a project that uses sensitive information (such as a password) and does something with it. The issue is that I do not want that information anywhere accessible on my computer. After doing much research I found the best few solutions here. Here are them in order

1. Its first recommendation is to encode your python file into pyc however "there are ready-made decompiler tools, and the cracking cost is low"

2. The other would be to obfuscate but I believe the password would still be in the file or at risk of being found out.

3. Then there is py2exe- however, I want it to have the ability to run on multiple platforms (macOS and Linux). It could also still be decompiled according to the website above.

4. The last would be to use cythonize which makes it difficult to crack however feels extremely convoluted- I would also have to recompile for Windows and Unix as well- but it works.

I also tried using input() in my code but I found that what you type in the console is stored as well as displayed on your screen.

Is Cythonize the only way to simply make the code encrypted? Or hide the password in some way?

I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

So I did the following:

1. write a simple meta.yaml so I could use conda-build to build jive locally
2. build jive with conda build .
3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
5. create a conda env using that environment.yml.

When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.) How can I fix the build/install so that this works?

Here is the meta.yaml, which lives in the jive project top level directory:

I'm having trouble importing test helpers into test code.

The project's python source code and test code directories are separate, but their structure parallels one another. In the test directory, I have some helper test code that I want to import into the actual tests. I am setting PYTHONPATH to include both the main src dir and the test dir (details below).

Command line:

For example, I have a Python file like this:

English is not my mother tongue, so there might be some grammatical errors in my question.
Sorry about that.
I git clone a project from github to my VScode. When I wanted to run demo code, a "ModuleNotFoundError" occured. I was confused about this error. Because I checked module and it did exit, I also haven't install same name module before.
Here is the project-tree of the project.(Only parts including "SLCT" are given)

I have deployed django application running on Linux (Ubuntu) in VirtualBox. The settings file database section looks like this.

We created a Composer v2 environment to migrate from Google Cloud Composer v1. All DAG code was adjusted and we are using the to this date newest available image composer-2.0.0-preview.5-airflow-2.1.4.

We noticed that even though the CPU is relaxed and memory is plenty, the Web server health is flaky (red / green alternating every couple of minute on the environment monitoring page).

For a test I removed the K8s health check on the webserver pod in K8s (and the startup probe as well). I then found that there is a call coming from the IP of the airflow-monitoring pod (10.63.129.6), and shortly thereafter the gunicorn process receives a HUP:

I've got two local branches, main and dev. When I try commiting and pushing changes from dev to main, it says everything is up to date and nothing actually happens. Additionally, my github repo does not reflect the latest changes in my local repo, even though I have tried pushing it up and it says it was successful. Commits are not showing on my new repo.

When I type "git remote show origin", this is the output:

 I'm trying to run my tests using python -m pytest but I get an error that ModuleNotFoundError: No module named 'sample' When using nosetests or anything else it works fine, but when trying to use pytest, it doesn't work. My tree looks like below, do you have any advice why it doesn't work?