What are the top Python trends of 2019?

According to the latest GitHub Octoverse Report, TypeScript is now the 7th most-used language, up from 10th in 2017 (see the second chart we shared above). And as you can see in the image below, it’s the 3rd fastest growing language overall.

Go is also strongly-typed (like TypeScript) and you can use it for all sorts of frontend and backend applications. You can also use Go to build concurrent applications, which break the work up into multiple threads during execution. And, amazingly, you can even transpile your Go code into JavaScript.

Apparently, Google is considering transitioning its products to Go, which would help propel the popularity of the language even further. So if you’re looking for a new language to learn in 2019, you can’t go wrong with Go.

Also-

So if you are thinking about getting into Machine Learning and Artificial Intelligence. Python is a must learn language for you in 2019.

Demand on job market -

As you can see Python is definitely in demand so you can be almost sure that you’ll get a job.

As Python is used more for AI and IoT, debugging in production will be a thing in 2019, especially on hybrid infrastructures.

If you’re only doing local step debugging during development, a traditonal debugger like gdb works fine. But you don’t want to be stopping your code at breakpoints in production. And if you’re using Python on AWS Lambdas or inside thosands of Kubernetes-orchestrated containers, you are even more limited.

One new production debugging option is Rookout, which works anywhere and is the only option for safely debugging production Python without stopping the code. It basically allows you to create breakpoints that don’t actually break the application but still collect all the relevant debug data like variable states and context.

I think we’ll see more ways of safely debugging live Python in prod this year.

Gosh, we’re talking something from 1991? I got into it a little later.

One has to wonder about all of the variations on the theme that have been observed of late. It’s like permutations without end. One result, to me, is that job requirements become super specific, as if some dialect prevents general understanding.

Oh, in other words? Standardization might be in the offing? It’s nice that JavaScript is available to most browsers, if not all. Too, Google has put some effort in creating an interface for the developer in Chrome that is helpful.

So, 28 years later, some type of stability might be in order?

I am not influenced by Zuck’s comments on h/c/j (which I fell into by laziness, no, wait, it’s because I do more than code — the computer is there for problem solving — not cowboying).

I see that there is a browser-side Python, now. Will look at that.

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