epiphanitus

Take us on the road with you. What's it like?

>> As horrendous languages go, mathematical notation is a profound achievement.

Are there any resources or strategies you would recommend to help with this?

The original source was probably a front. This new source is better, but their source is Russian State TV. I would be interested in whether the law actually exists, and if so whether it is really applied consistently without exceptions for 'special' people.

Thanks for your comment, I appreciate your willingness to share a contrarian perspective.

Question, how would a virus that spreads primarily indoors and rarely spreads outdoors accumulate enough viral load over enough hosts to spill over into humans? It seems like this would be difficult in an open-air wet market.

One problem is, many if not most engineers work in corporate environments where they have to deal with expectations and deadlines. Mgmt may perceive reimagining a system to be a risky long-term bet and its tough to persuade them of the benefits. In their defense their hesitation may be justified. I hate crappy hacks but at the end of the day there's a reason why they get piled on so much.

So I guess the question is - what's the best way to scope and evangelize a 'moonshot' project? Or should you just shut your trap and go join a startup?

I love the mix of the ambience and the narrator. Those PSAs and old narrations really add an interesting dimension to it. Question, where do you find those voice samples?

I love your sound, very deep and melodic, almost an 80s feel. Just a Dream is my favorite, your aesthetic goes really well with a singer.

If anybody is looking for something new to listen too, he made an album with John McLaughlin and 3 other jazz gods called Five Peace Band. One of my favorite albums of all time.

Thanks. Getting into this was purely accidental. I had an interest in machine learning that required more and more complex pipelines to feed it. I kept adding on layers of complexity until I was running a Kubernetes cluster and a database. Learning kubernetes meant learning about bash and containers, which were useful later.

I used a combination of linkedin and my github projects.

I'll check out Network Algorthmics, thank you for the recommendation.

>> But, ultimately, the best asset for somebody with a CS background is not so much having immediate knowledge, but knowing where to acquire knowledge as necessary. If you have a general idea that for a specific scenario, you can acquire X knowledge in Y resource as you go along

These days my goto resources are SO, Slack, Github issues, etc. Any recommendations beyond that? Or by 'where to acquire knowledge' do you mean 'how to categorize problems'?

I'll check out those MOOCs, thanks!