According to the Python Package Index, Python has over 267 thousand projects. There is a very high chance that whatever

You might be mistaken if you think being a Python developer, you’d only be working with backend technologies. A Python developer often has to work with front-end technologies to ensure that the client-side matches the server-side. In a corporate environment, this would often involve the UI/UX team, Project Managers, and SCRUM Masters for better coordination of the workflow. Working on the front-end gives you a clear picture of both the appearance and working of the application.

You see, despite being initially designed by Google to satisfy their development and environment needs, as soon as Go became open source and quickly grew its contributors base, it became clear that developers wanted to use it for a much wider scope. With the release of Go 1, the language is considered to be a general purpose one.

But this wasn’t the end of the Golang generalization process. As its community is becoming massively bigger, it’s expanding Golang’s area of use and continuing to build new tools, packages, frameworks, drivers, API, code generators, and even more awesome stuff that makes new developers believe that Go can indeed become their next main language, too. Just like me!

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s something new. Few to none local businesses offered coupons or discounts of any sort. Groupon was the only place where you could get movie tickets for less. Plus, there was a social element to it — you might want to invite your coworkers to reach the critical mass of buyers required to validate the daily deal.

Okay, so it’s clear now that Go sure has some features. It’s also easy to use, fast, and productive. But where can you be productive with it? What can you actually do with Go?

Reflection can sometimes be intentionally avoided in favor of Golang’s other paradigm, code generation, which in terms of Go ideology is less magical but more clear and efficient. I personally think of it as white magic, though, and surely will advocate its deliberate use, since sometimes, despite being less efficient, reflection can in fact provide some truly magical capabilities.

A smart Python developer must be skilled enough to find, study, and properly implement packages provided by the Python ecosystem as you’ll be using them almost every day. These libraries cover an extensive range of domains, such as Artificial Intelligence, Machine Learning, Data Science, and much more. Python also has an active and welcoming community where you can get help from other devs around the world.

And there you have it. Golang’s feature set is a result of a thoughtful solution for yet another major language design problem, which requires selecting only the right features without increasing overall language complexity and with keeping its clarity.

But the absence of these responsibilities doesn’t mean you shouldn’t work on your front-end development skills. A decent knowledge of a handful of front-end technologies like JavaScript, CSS, and HTML will prove beneficial. Even though these skills and experience may not be a must-have everywhere, but they are definitely more than welcome as some projects, if not all, might use them.

Standard library of Go contains a ton of great handy features, which proves that Golang is, in fact, a pretty feature-rich language. However, the way they are implemented is something that makes it so unique. For instance, with the use ofimport “net/http' magic package, you’re at once getting all of the above features implemented in an awesome, highly concurrent, crazy easy to use, through a fully production-ready web-server.

Industries like Machine Learning and Artificial Intelligence have been booming lately. Part of the reason behind this is the astonishing rate of innovation and a similar rate of implementation of these innovations in the industry. As ML and AI are both highly in-demand technologies, a Python developer should dive into their foundational concepts and algorithms to get a clear understanding.

Reflection — This one, in particular, isn’t as simple to use as others in this list since it isn’t the most straightforward concept of any programming languages. Go still manages to make most of it, though, while keeping it relatively easy to use.

Some of the classical programming languages, like C# and Java, throughout their existence have managed to make their way in almost all areas of programming applications. So it seems pretty hard to compete with them. Sure it is, but Go doesn’t actually try to do that. It was designed for a specific purpose in mind, so it is by definition not a general purpose language.

Packages. Simply put, they are just awesome. They work seamlessly, without any surprises, and it feels great to use them, too, especially to import ones. By using the go get tool, you can do it from just about anywhere: Gopkg, GitHub, GitLab, BitBucket, even your own hosted repository source since “vanity” imports was introduced. But I guess, you already know the drill … Yep, they are secretly also pretty complicated in order to enable componentization, modularity, scalability, sharing, data hiding, and isolation, and so on.

Simplicity is very hard to design. It is very complicated to build. But if you get it right, you get what is easy to use. And the success of Go proves it! — Rob Pike, creator of Golang