Choosing a programming language

If you are reading this chapter first, or you're starting from this chapter without any prior experience in programming, it is important that you have a firm grasp of the preliminary concepts found in modules 1 - 7.

However, if you're already established in the basics, I would like to congratulate you for getting past the preliminary concepts section. You are now ready for the actual work.

In this section, our focus would be on programming! It's been quite interesting exploring the preliminary concepts, and we're finally here. Let's being!

What you should know

In a sense, choosing your first programming language can be a bit like choosing your first car. Typically, you want something comfortable and not overpriced. Here are some key things you should know before choosing a language (or your first car 😃 )

1. The end goal

That's the domain you want to programming in, is it building mobile apps, building servers(backend), or working with AI?

2. Community strength and support

When you build applications or software, you'd run into issues and you'd be in need of help, it's great to choose a language adopted for the domain, for instance,using Golang for embedded software might be wrong because you may not get a lot of support, at least as of the time of this writing, when compared to the use and adoption of C/C++

3. Learning curve

While this isn't exactly a problem when you have moderate study time or a good schedule, a steep learning curve mean you need to do more groundwork to understand some concepts

Now, let's try to review those keynotes and how this resource helps you,

1. The end goal: The end goal of this book is to teach you core programming concepts and make you a backend engineer.
2. Adoption: I have carefully selected one of the most popular programming languages used for building backend applications, and that's Javascript, the choice is mostly influenced by what I use as a backend engineer myself, the ease of learning and community adoption; Note that there are also great alternatives — Go, Java, Python, Rust, PHP, Java, C# to name a few, but they won't be covered in this book, or at least not yet.
3. Learning curve: The chosen languages have a very friendly learning curves, thus I project you being up to speed in a few weeks

Learning Curves

When we discussed the classification of programming languages, I mentioned 2 classes; compiled languages and interpreted languages, remember?. Allow me to extend it further to include, statically typed languages and dynamically typed languages.

Statically typed languages

In statically typed languages, the programmer is often required to indicate the type of a variable. This mean you must state if your variable is a number or letters (string), an array or something else, an example of such in this book is the Rust programming language.

Dynamically typed languages

In dynamically typed language like JavaScript, it is relatively easy to get to speed, compared to statically typed languages. However, down the lane the learning becomes hard to quantify and it seems as if learning is standstill.

Broadly, statically typed languages are longer to be established in and master but they make it easier to learn other statically typed languages and the dynamically typed ones rather quickly.