Great article! Toptal and DigitalOcean are awesome.

In my company, python used for automating some tasks, like setting up an environment for building and testing software on Jenkins. With machine learning, there are many great libraries for you such as scikit-learn, keras, pandas, scipy, numpy, etc. But you should teach yourself some machine learning algorithms, implement it and then using those libraries.

Python is great for learning web development (I prefer the Flask framework for this), machine learning or system scripting. I'm using VS Code for Python. Although it's just a text editor, you can extend it with Python extension to get IDE-like features.

You can contribute to the freeCodeCampGuide project. It's a good starting point.

Here is the developer roadmap you can reference.

This depends on your preference. Pick language/platform/framework you feel most comfortable. For me, I will pick Node.js + Express.js.

You can start contributing by writing a technical article for freeCodeCamp Guide . You can also help someone correct some mistakes in their articles (grammar, code syntax, etc).

You can take this Algorithms Specialization on Coursera. A good resource for referencing algorithms is GeeksforGeeks .

You're not crazy, we have TensorFlow.js (formerly deeplearn.js).

In my opinion, it is not bad. Because of dynamic nature of JavaScript, the this reference binding by context is make sense. Consider the following example to see how this binding helps us achieve inheritance in JavaScript: function Person ( firstName, lastName ) { this .firstName = firstName; this .lastName = lastName; } function Employee ( firstName, lastName, title ) { Person.call( this , firstName, lastName); this .title = title; }