Perhaps in learning more shell scripting I have a breakthrough and realise I can do lots of things I couldn't before and overnight can do 10% more, but again it's not obvious in advance that this will happen.
- invest more of your time in learning more about the things you are currently finding useful than in things that sound like they could potentially be useful
- invest more of your time in learning skills that have been useful for a long time (C, Make) than in skills of more recent vintage (MobX, Kubernetes), because of the Lindy Effect
- invest more of your time in skills that are broadly applicable (algorithms, software design, Python, JavaScript) rather than narrowly applicable (PARI/GP, Interactive Brokers)
- invest your time in learning to use free software (FreeCAD, Godot, Postgres) rather than proprietary software (SolidWorks, Unity, Oracle), because sooner or later you will lose access to the proprietary stuff.
- be willing to try things that may not turn out to be useful, and give them up if they don't
- spend some time every day thinking about what you've been doing. Pull up a level and put it in perspective
That's the most useful point. Sometimes just a few why-s can give you a clearer view on your activities and a direction for your efforts.
The think you have a solid point with Postgres v Oracle and I haven’t followed game dev in a while, but your FreeCAD recommendation is so far from industry standard that I don’t think it’s good advice.
If you need to touch CAD design in a professional setting, learn SolidWorks or OnShape. They’re what every MechE I’ve ever worked with knows and uses, and they integrate product lifecycle aspects that FreeCAD does not.
However, if the goal is to be a full time employee doing CAD, I would of course going with one of the most established tools. Potentially even get some certifications.
They suggested thinking about investing in skills like financial investments. That is, investments run on a spectrum from low risk, low return to high risk, high return.
Low risk investments will almost always pay out, but the return is usually modest. Their example: C#
High risk investments often fail to return anything, but sometimes will yield large returns. Their example: Leaning a foreign language.
Some key ideas I took away:
- Diversify.
- Focus on low risk to stay gainfully employed.
- Put some effort into high risk, but keep expectations safe.
- Your mix may vary based on your appetite for risk.
This algorithm makes you learn the things you'll need quite well without having to understand and/or predict the future.
The other thing that’s worth learning is that if you can find tools that everybody uses regularly, but nobody understands, then try to understand those, you can bring enormous value to your team/org.