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I want to build a python package using setuptools. The folder structure of the project is the following (some non-essential parts have been deleted):

energy-monitor
├── config
│ ├── config.yml
│ └── secrets.yml
├── data
│ └── cpu_tdp.json
├── energy_monitor
│ ├── core
│ │ ├── gui.py
│ │ ├── __init__.py
│ ├── data
│ │ └── tableExport.json
│ ├── __init__.py
│ ├── main.py
│ └── utils
│     ├── api_calls.py
│     └── __init__.py
├── energy-monitor.py
├── LICENSE
├── MANIFEST.in
├── pyproject.toml
├── README.md
└── requirements.txt

The content of the pyproject.toml file is the following (some non-essential parts have been deleted):

[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"

[project]
name = "energy_monitor"
version = "0.0.1"
description = "Energy monitor"
readme = "README.md"
requires-python = ">=3.11"
license = {text = "GPLv3"}
classifiers = [
  "Programming Language :: Python :: 3",
  "Operating System :: OS Independent",
]
dynamic = ["dependencies"]

[tool.setuptools.dynamic]
dependencies = {file = ["requirements.txt"]}

[tool.setuptools]
packages = [
  "energy_monitor", 
  "energy_monitor.core", 
  "energy_monitor.utils"
]
include-package-data = true

[project.scripts]
energy-monitor = "energy_monitor.main:main"

Finally, the content of the MANIFEST.in file is the following:

include README.md
include LICENSE
graft config

I generate the package with python -m build and install the .tar.gz archive with pipx. According to setuptools documentation, I expect to find my config folder, together with README and LICENSE in the interpreter directory (site-packages) after the installation. However, this doesn't happen and I cannot run the app becase it complains that it doesn't find the config. What am I missing?

I'm learning C++ and as starting project I'd like to build a simple TUI program, something like neofetch. Do you have any suggestions of a good library I can use to manage the TUI? After some research I sumbled upon ncurses, which seems quite old tho, and notcurses, which to me looks quite cool. Which of the two would you recommend? Are there any better libraries? I thought that maybe, being quite widely used, ncurses is more worth learning, but I'm open to different opinions.

I don't have a CS background (I graduated in Neuroscience) but now I decided I want to attempt a carrer in software development. When I looked at the possible different types of software developer I felt that the one I was most attracted to was desktop developer or system developer. In general, I like creating programs than run offline on a local machine, or even dealing with the low level operating system stuff.

I altready know how to program in Python so I decided to start learning C++ as well since it feels like exactly the language that can be used for developing desktop apps or working with kernels. In general, I like the level of abstraction at which C++ works and I would like to keep working at that level.

However, when looking around for some jobs or in general talking with people who work in the IT field, I feel like most of the work of a developer is polarised between two extremes: either creating web apps using tons of different front-end and back-end frameworks, or working with embedded systems for different kind of electronic devices. C++ specifically seems to be used nothing more than for gaming and embedded systems nowadays (according to my very subjective impression ofc).

So my question is: is it still possible to find a job were the main task is to develop and/or maintain desktop apps? And if so, is C++ (or other languages that work at the same abstraction level like Rust) the right language to do this? Or maybe, given my lack of a CS education, it's easier to start as a webdev and maybe change later?

Sorry if I said some nonsense or trivial stuff but I just started to enter the IT world and I still don't have a clear idea on how the job market for SWD works.

I'm writing a python package that I would like to distribute as a standalone terminal app. The structure of the project folder is the following:

energy-monitor/
-- config/
-- doc/
-- tests/
-- energymonitor/
---- init.py -> (empty)
---- main.py -> def main()
---- data/
---- ..other packages..
-- project.toml

I'm using setuptools to generate a .tar.gz archive, some relevant parts of the project.toml file are:

[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"

[project]
name = "energy-monitor"
version = "0.0.1"

...

[tool.setuptools.packages.find]
where = ["energymonitor"]

[tool.setuptools.package-data]
data = ["data/*"]

[project.scripts]
energy-monitor = "energymonitor.main:main"

I generate the .tar.gz and the .whl files with the command python -m build, then I run pipx install path/to/energy-monitor.tar.gz. The installation is succesful, but when calling energy-monitor from the command line I get:

Traceback (most recent call last):
  File "/home/mattia/.local/bin/energy-monitor", line 5, in <module>
    from energymonitor.main import main
ModuleNotFoundError: No module named 'energymonitor'

Why is this happening? I was not able to find any helpful solution online. It's the first that I build a python package so sorry if the issue is trivial.

• python version: 3.11.3

Hi, I'm trying to save a plotly image as a static .svg file using kaleido. I have kaleido-0.2.1 installed, but when I run this code on jupyter: fig1.write_image("../figures/supp1A.svg", format="svg", engine="kaleido")
I get this error:

ValueError: 
Image export using the "kaleido" engine requires the kaleido package,
which can be installed using pip:
    $ pip install -U kaleido

Why does this happens even tho kaleido is installed?

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