GraphQL+Analytics, MLOps, Code Review 101
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Code Reviews 101:The Golden Rules of Code Reviews.
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Tim Ferriss posted this, so it got wide distribution, but 103 Bits of Advice I Wish I Had Known is good if you haven’t seen it, including:
- About 99% of the time, the right time is right now.
- No one is as impressed with your possessions as you are.
- Dont keep making the same mistakes; try to make new mistakes.
- Don’t wait for the storm to pass; dance in the rain.
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Great read: How to Chart Your Engineering Career Path: IC, Manager or Technical Founder. Some nuggets:
- The best engineers I’ve worked with … can think through a problem really deeply and are endlessly curious.
- Give feedback like an Olympic coach.
- Debate without ego.
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An informative twitter thread that explains foundational principals for MLOps.
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A simple (video) explanation of unit testing in python.
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Nice little intro to logging in python like a pro.
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How to build an Analytics API with GraphQL. Super relevant for what we’re working on right now.
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I can never get enough of zsh and vim config hacks.
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Another gem from Martin Heinz: Python List Comprehensions Are More Powerful Than You Might Think
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Here is a nice overview of Python String Methods. The author (Trey Hunter) has an interesting site that would be a good reference for folks looking to improve their python skills.
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I found Aditya Agarwal‘s Your CTO Should Actually Be Technical interesting. One provocative argument:
- It’s hard to take your leader seriously if you do not feel deep down that they could do your job if needed.
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Nick Higham literally wrote the book on technical writing, and while my day-to-day work doesn’t involve as much linear algebra as I’d like, I still loved reading the Seven Sins of Numerical Linear Algebra.