I still use and like Python (mostly with Django) and C on ESP32/AVR/STM32.
In 2019 I'm going to have a look to Elm 0.19.
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I still use and like Python (mostly with Django) and C on ESP32/AVR/STM32.
In 2019 I'm going to have a look to Elm 0.19.
Earlier quoted context omitted.
Somebody should pick up that idea and create a site like stack overflow but that doesn't discourage discusssion or reward destroying useful knowledge.
But... it does discourage discussion. It's a Q&A site, not a forum. You don't just post some thoughts and reply to other people's thoughts: you post either a question, or an answer. If you need clarification on a post, you comment. It's not a discussion forum. And I'm not a new, disgruntled user. I like the site a lot and am quite active on the IT Security stackexchange site. From my semi-moderator's point of view, t…
Power Query - Used for querying data in excel and Power BI, and also for a custom connector for Power BI. OData - A standard for rest APIs. Did some playing with .Net Core, but still not really satisfied that it's ready for serious prime time.
Can you elaborate on your shortcomings seen in Core? This may be very important to me.
For example, if you use core, you can't use entity framework 6, you have to use EF core, which has most features and if you are building a new app you'll probably find a way to do most things you want, but if you are porting something you might struggle. And that means you can't use anything that is built on EF 6 either. The dependacy chains seem to be muddled. One library will seem to be fine on core, but one of it's dependencies will only work on the full .net fx.
Another problem I hit was with doing some dynamic code generation. Roslyn is supported, but code dom isn't. That would be fine if I was starting from scratch, but I had a bunch of useful existing that that all depended on code dom that would have been a lot of extra effort if I couldn't reuse.
I would say if you are starting a new project and it's a fairly standard website you'll almost certainly be fine. But be ready for a lot of pain if you have any code to port.
- react, redux, typescript, canvas, webgl, webanimations, audio api, nodejs, firebase, SQL server, postgresql, scraping, mongodb, rails, nextjs, vuejs, and a few other js in libraries. Custom WordPress theme development and basic php. Design tools like figma and affinity designer.
React took me a few months to get comfortable with though, mostly as I was learning on my own.
I learned how to play musical instruments and did a few talks at my local meetups, and participated in a few hackathons. I got better at delegating tasks with better project requirements
I want to learn machine learning, text classification and image processing next year though, along with some core CS classes I want to know about. And more math
I also learned React, React Native, and Angular 7.
.NET Core. It's got everything I need from the java world, without the baggage from being an old technology.
Machine Learning. In 2018 I went from "zero to sixty", so to speak. At the beginning of the year I knew nothing about ML, and my math skills had gotten so rusty I couldn't even remember how to do simple derivatives or multiply two matrices. In the first half of 2018 I relearned the college math that I had forgotten by working through MIT OCW's Linear Algebra, Calculus, and Probability courses. In the Fall, I enrolled…
can non-CMU student learn that class online?
There are several CMU courses, however, where the full collection of lectures are available to watch on YouTube. The Fall 2017 offering of Mathematics for Machine Learning lectures are all on YouTube.
Bash - This is still a work in progress, but I've enjoyed the ease Bash provides for scripting, compared to doing the same thing in Node or Python.
Unix - In the last few months, I've started familiarizing myself with different commands, such as sed, grep and awk, to navigate around the command line and edit files. I'm hoping to get better in 2019.
Machine Learning. In 2018 I went from "zero to sixty", so to speak. At the beginning of the year I knew nothing about ML, and my math skills had gotten so rusty I couldn't even remember how to do simple derivatives or multiply two matrices. In the first half of 2018 I relearned the college math that I had forgotten by working through MIT OCW's Linear Algebra, Calculus, and Probability courses. In the Fall, I enrolled…
Where did you get that kind of motivation? Sounds almost super natural.