I’m going to be delivering an online intro to programming session to a non-technical crowd who will be “following along at home”. Because it’s online, I can’t provide them with machines that are already set up with an appropriate development environment.

I’m familiar with Linuxes and BSDs but honestly have no idea how to get set up with programming stuff on Windows or macOS which presumably most of these people will use, so I need something I can easily instruct them on how to install, and has good cross-platform support so that a basic programming lesson will work on whatever OS the attendees are running. Remember they are non-technical so may need more guidance on installation, so it should be something that is easy to explain.

My ideas:

  • C: surely every OS comes with a C compiler pre-installed? I know C code is more platform-specific, but for basic “intro to programming” programs it should be pretty much the same. I think it’s a better language for teaching as you can teach them more about how the computer actually works, and can introduce them to concepts about memory and types that can be obscured by more high-level languages.

  • Python: popular for teaching programming, for the reasons above I’d prefer not to use Python because using e.g. C allows me to teach them more about how the computer works. You could code in Python and never mention types for instance. Rmemeber this is only an intro session so we’re not doing a full course. But Python is probably easy to install on a lot of OSes? And of course easy to program in too.

  • Java: good cross-platform support, allows for teaching about types. Maybe a good compromise between the benefits outlined above for C and Python?

Any opinions?

  • jacksilver@lemmy.world
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    23 hours ago

    Use Google Collab or another web hosted platform. If you’re unfamiliar Google Collab is a part of Google docs that you can run Jupyter Notebooks on (and it’s free). This avoids the need for anyone to install anything and means you can test materials in the same environment everyone will run against.

    Additionally, Jupyter notebooks makes it easy to add markdown, so instructions can be in stylized format and the students can run the cells over and over again to see how the output changes in real time.

    Lastly, I would lean towards python, but there are many different languages supported in Google Collab and similar web hosted tools.