Polyglot Dojo #0: Introduction


6 min read

matrix dojo


In this series of blog posts, I plan to solve programming challenges I find around the internet, in books or throughout my daily job in different languages. Though, before we start, I want to set some ground rules to keep myself motivated and also share the point of this series.

Language Choice

I'm a Python developer; not a top, highly skilled developer of course, but I'm pretty confident in coding and thinking in Python (mostly web stack). So the base language I would solve the challenges with, would be Python. It would help me to think about the challenge in hand instead of wrestling with unfamiliar concepts/limitations of a target new language. As Peter Norvig stated that, Python is good pseudocode, and I like to benefit from it as long as I can.

However, my actual goal here is to have a set of problems to use with new languages I tend to learn. I've learned that I can grasp concepts of new languages more effectively when I try to use them.

For the starter of these series, I'm going to use these two languages (together with Python) to solve the same problems:


The lovely lisp dialect. As an Emacs user, I know the general Lisp syntax and love it. Still, I'm not yet that much comfortable in expressing my ideas persuasively using it. I tried to learn Clojure using a set of recommended books by the community. But I find out the main focus of almost all of them, is to introduce you to the language's syntax or available library. As I said, that won't work on me. I still need to read and learn them; but to learn effectively to program in a new language, I need to face challenges.


Throughout my programming career, I've always used languages with dynamic typing systems: Python, JavaScript, CoffeeScript and even Ruby for some time. With a little background in C/C++ from back in university, I always considered dynamic typing a massive win for the language. But after my introduction to Mypy and JavaScript typing mechanisms (TypeScript and Flow), that assumption shattered to ashes. Especially, when I learned static typing systems don't need to be painful through this excellent introduction video on OCaml (The language used to develop JS Flow).

The main reason that I found typing systems fascinating is the way it helps the developers to reduce potential bugs through their development process and yet make it easier to reason about the code. Of course, there are lots of other valid reasons for a typing system in a language. But, this simple fact is so shiny and reasonable to me that convinced me to learn the underlying idea better. I've witnessed such effects on some of my recent Python projects which I developed with Mypy, so I know it's a win.

Yeah, I know, I know. A smart typing system is kind of lame reasoning to choose a great language like rust as your next programming language to learn. But I believe you can find a lot of other genuine reasons, just by a quick search on the internet. I love all those things about the language (who can't), but this was my take (and of course I wanted to taste some system-level and compiled programming languages).

Future Languages

Well, I'm a language lover (both computers and human languages). I love the different levels of abstraction which programs can hire to solve the same problem. I also love languages which help to represent your ideas in a simplistic easy to read and understand syntax. That's why I love Python. So this list of languages would grow in future and I will hopefully, update each post with a new solution in a different language which I plan to learn (there are a lot of them πŸ˜…).

Problem Sets

For starter and to have a robust structured problem set, I'm going to use the Interactive Coding Challenges repository. I'm not sure about the future, but for now, I'm mostly trying to improve my skills in Algorithms and data structure.

Concurrently, I may try to solve exciting random challenges, as well, but to keep myself committed, I'll need a comprehensive suite like the Interactive challenges.

However, I probably won't always stay on small problems. Whenever I feel confident with a language, I'll try to solve real projects with it. I would decide about the scope of those projects down the road, but potentially they would be something that I can take care of in a week of my spare time.

Why Not Exercism/Codewars/etc

Well, they are all excellent services, especially, Exercism with human auditors and structured challenges. However, There are some blockers for me:

They are not entirely compatible with my goals

I'm not a fan of cryptic, one-liner solutions, simply because, I can't understand them on the first sight (Also I'm not that smart to write such codes). Almost every time, I try to solve a problem, in a well-organized structured fashion (As Uncle Bob states, Clean Code style), I would get accused of overdoing it. Well, they are probably correct. Their goal is to code in competitive coding style, and first working/speedy solution would be enough to get over with and continue to the next. That's not a habit I want to grow when I'm learning a new language.

The difference in auditors tastes

Throughout your journey on Exercism, you'll get judged by different auditors. You learn something from one of them, and the other considers it an over-engineering. You may say that the topic at hand may not be suitable for all situations. However, if I'm able to differ such use cases in the first few challenges on the Excercism, I'm probably wasting my time there.

Lack of clear communication

My problem with services other than Exercism, (let's say Codewars), was that you face a challenge (effectively a test suite). You solve it, and you are good to go. Other than the language's compiler and unit tests, you don't have any feedback. So other than solving a potentially useless problem you didn't learn anything (I say useless, because you probably won't remember your solution, next time you face the same problem in real life -if ever-). Yes, you can learn from community solutions, but you'll face a sea of cryptic solutions to decipher (which probably is not that much Google-able).

Exercism, supposed to solve that using real human auditors, but in real life:

  1. You submit your solution.

  2. You wait 2 weeks in the queue for an auditor to find the time and review your code.

  3. If you haven't already forgotten your idea, you'll get 10-20 words of opinionated comment on your work without any extra clarification.

  4. You address the comment and commit your work.

  5. And loop keeps going on!

Without a compelling argument, this workflow won't be practical to me. Samples, resources and keywords are the minimum necessity of code review when you plan to improve the programmer's skill set.

Why Your Personal Blog Then?

Ah, I hope I'll get helpful critics from the community who value what I said up here. So Feel Free To Say My Coding Skills SUCKS, But Please Tell Me Why 😊.

I also hope this way, I can grow a personal wiki of my solutions and thoughts, so I can review and refactor them in future.


Well, as I said, I'll try to keep this series updated whenever I learn a new language. I may also update my solutions based on community feedback or improvement in my skill sets. To address those and keep track of that, I'll use Repl.it for interactive code boxes and Git for the blog posts.

I guess this is enough for now. Let's the journey begin…