What are you planning on learning in 2020 and what resources do you plan to use to do it?
I'm looking forward to learning: Graphql - a deep(ish) dive Statistics - brushing up with an intro course Devops - will finally read Project Phoenix and see where that takes me
I want to improve my APL(Dyalog/co-dfns), Rust, and Coq skills to passible levels, i.e. being able to comfortably use them and writing code in an idiomatic style.
I also want to improve my skill with SystemVerilog and VHDL. I'm decent with HDLs but I need a lot of work with regard to my testbench writing, translating specs to a TB, and using the random constraints based testing(similar to property based testing in the SW world).
I'm trying to properly pick up C++ template meta-programming and improve my familiarity with minimal to zero cost abstractions w.r.t FP and HOF.
Outside of programming skills, I want to start learning some project management skills, i.e. feature breakdowns, timeline estimation, and the basics of when/how to pivot.
Finally, I'm trying to learn how to tell when I start falling into one of my biggest issue as a developer and how to curb it: getting stuck on an idea and overlooking better alternatives.
It's a bit to take on but I'm young and don't have too many commitments so I figured it shouldn't be too unachievable.
On the tech side I'm going to try to develop my python skills a little more. Expand my DevOps knowledge in my current professional stack which will mean Azure DevOps. Perhaps sprinkle in some LeetCode. I don't really want to grind it, but I would like to move someone warm like Florida, and it'll probably be a good idea to study a bit.
I am also taking notes of all the resources that I'm finding useful and have some plans to utilize my spare time to publish those as a series of blog articles(hopefully). Merely to share my vim & elixir journey on my personal blog[0] :)
As part of the Elixir learning process, I've been writing a series called Learn With Me: Elixir at https://inquisitivedeveloper.com/, so that other people can learn Elixir along with me.
At first the idea was just to help other people out in learning the language by explaining it from my perspective as I learned it, since there aren't large numbers of Elixir learning resources out there, but I found out that writing about Elixir and explaining it has been enormously useful in helping me learn. It helps me to think about the topic in more detail and I feel motivated to answer questions that pop up in my head while I'm writing, leading me to understand Elixir better.
So for anyone wanting to learn something, I recommend writing about it as well. Attempting to explain it to others has a learning value all on its own.
My plan is to expose myself to new concepts or go more in depth on things I already know about (planning to go through a few books I have been meaning to, for example), and then whenever my memory fails me about something I already understood, go back to the best resources on that subject that I have saved from the first time I explored it.
This sort of spaced repetition works wonders for me.
I'll then complete a couple of courses to familiarize myself with syntax of at least one commonly used framework (thinking fastai which uses pytorch, give me suggestions if you got a better one).
I've also started reading the SRE book from Google after developing an appreciation for my coworkers who do that sort of thing.
I also want to study music (guitar specifically) but I don't know if I can find a good resource that includes material to study on a weekly basis for example or if I will have to get a tutor.
I build CM tools, so maybe I'll sound a bit more confident. So far, the training courses have reinforced my intuitions about how CM is performed in the enterprise. I'm feeling more able to tackle our engineering inefficiencies.
If anyone has advice for the CFA exam (or comments on the usefulness of the qualification), I glad for comments!
* Stanford's CS234 class which is on youtube and has assignments at the course page [1]
* Textbook freely available from Sutton and Barto [2]
I'm hoping to use it in a project with Lean [3] to make an AI that proves theorems.
I'm intending to move to emacs (well, spacemacs) for all my non-Java text editing so I'm also investing time in that.
[1] http://web.stanford.edu/class/cs234/
* DSA - Princeton Algorithms, CS61B UCB
* Computer Systems - CSAPP, CS61C UCB
Tools/Frameworks:
* Intermediate Apache Airflow
* Elasticsearch
* Django
* AWS
2. doing youtube
3. push MVP into production