I'm (re-)starting python track, independent mode ... I'm running on Pop!_OS, the System76 derivative of Ubuntu. I have not installed any kind of pip. I installed pytest directly with "apt install python-pytest", that worked. I have completed the hello-world, and tested it successfully.
Now, I'm looking at the python "how to do tests" page ( https://exercism.io/tracks/python/tests ), and it's telling me I need to install pip and/or pip3 before I can install pytest.
Meanwhile, on the actual pip site ( https://pip.pypa.io/en/stable/installing/ ), I'm told that if I'm running python >=2.7.9 and/or python >=3.4 (both true on my system), then I already auto-have pip installed, and do not need to install it.
... and yet, pip --version (and sundry variations) gives me a "command not found" error.
Danke, y gracias.
Python came pre-installed with the Linux distro.
Same result? Maybe the distro included pip, maybe not?
Safe to assume that I do not have pip installed, and I can go ahead and install it (as needed)?
@NobbZ thanks ... but now, further warnings on the "how to install pip" site has led me to (re-)learning virtual environments for python. Since much of my actual OS relies on (presumably) specific versions of python and python-add-ons, it seems prudent to do any python dev-work (including exercism practice) in python sandboxes.
Hopefully/Presumably system-required python-stuff is already segregated from my student-fumbling ... but, y'know, just in case.
@NobbZ Now ... I'm trying to find guidance on preferred naming and/or management conventions for multiple python virtual environments (venv vs pyenv vs pyenv-virtualenv). For the moment, I'm sure venv is plenty, but soon enough, I'll need python2/python3 differentiation so ...
To start with, do I just turn the ~/exercism/python/ directory into a python venv, and then activate it? Is that the best/simplest way?
-- afk for a bit. Thanx in advance.
Just use
venv module that comes with python 3 to switch environments based on your current project.
specifically, I want to rename each exercise to auto-sort in the order I complete them, so I'm trying to rename them to, eg, 001_hello-world, 002_two-fer, etc.
But then 'exercism submit' freaks out with "The exercise directory does not match exercise slug in metadata" error message.
Can I retool the metadata, or am I wandering down a messy trail here?
I mean, I can easily enough edit the ".exercism/user.json" file to match my new directory name ... but is that going to start screwing up other exercism functionality?
Is there any reason not to apply Git tracking to either the individual exercises, or to the entire exercism/python directory?
Any recommendations on what (if anything) should be added to a .gitignore?
And of course you can use
git to track your stuff, some of us do and even have their repositories publicly available.
You can find an example of a polyglot-mono-repo at https://gitlab.com/NobbZ/exercism-solutions, others split their polyglottal stuff into one repository per track.
@spiraldancing :point_up_2:
Hi, I'm just trying to configure the exercism CLI. When I run exercism configure --token=MY_CLI_TOKEN I receive: Error: The base API URL 'https://api.exercism.io/v1' cannot be reached.
API returned 403 Forbidden