Making the Jump to Real World Haskell
Last week, we announced our Practical Haskell course. Enrollments are still open, but not for much longer! They will close at midnight Pacific time on Wednesday, March 11th, only a couple days from now!
I've always hoped to provide content that would help people make the jump from beginners to seasoned Haskell developers. I want to show that Haskell can be useful for "Real World" applications. Those are the main goals of this course. So in this article, I wanted to share some of the mistakes I made when I was trying to make that jump. These are what motivated me to make this course, so I hope you can learn from them.
Package Management is Key
My Haskell career started with a side project, one you can still see on Github. There were some cool things about the project, but my process had several flaws. The first one was that I had no idea how to organize a Haskell project.
My early work involved writing all my code in .hs source files and running manual tests with runghc. Installing dependencies was a mess (I put everything in the global package database). I eventually learned to use Cabal, but without sandboxing. Dependency hell ensued. It was only after months of working through that process that I learned about Stack. Stack made everything easier, but I could have used it from the start!
Don't repeat my mistake! Learn how to use Stack, or just Cabal, or even Nix! This will solve so many of your early problems. It will also streamline the rest of your development process. Speaking of...
Test First, Integrate Completely
When it comes to making a project, the first question you should ask is, "How will my customer use this?" When it comes to writing code within that project, you should always then ask, "How will I know this code works?"
These two questions will guide your development and help avoid unnecessary rework. It's a natural tendency of developers that we want to jump in on the "meat" of the problem. It's exactly the mistake I made on that first project. I just wanted to write Haskell! I didn't want to worry about scripting or package non-sense. But these issues will ultimately get in the way of what you really want to do. So it's worth putting in the effort to overcome them.
The first step of the project as a whole should be to build out your end-to-end pipeline. That is, how will you put this code out there on the web? How will someone end up using your code? There will often be tedious scripting involved, and dealing with services (CI, AWS, etc.). But once that work is out of the way, you can make real progress.
Then when developing a particular component, always know how you'll test it. Most often, this will be through unit testing. But sometimes you'll find it's more complicated than that. Nothing's more frustrating than thinking you're done coding and finding problems later. So it's important to take the time to learn about the frameworks that let you test things with ease. Keep practicing over and over again until testing is second nature.
Start Simple
Another important thing when it comes to the learning process is knowing how to start small. I learned this over the course of my machine learning series last fall. My methods were often so ineffective that I didn't know if the algorithm I was trying to implement worked at all. But the problem I was trying to solve was too difficult! I've found more success in machine learning by starting with simpler problems. This way, you'll know the general approach works, and you can scale up accordingly.
This also makes it much easier to follow the advice above! If your system is large and complicated, the scripting and running process will be harder. You'll have to spend more time getting everything up and running. For a smaller project, this is not so difficult. So you'll get valuable practice at a smaller scale. This will make bigger projects smoother once you get there.
Use Both Documentation and Examples
None of us were born knowing how to write Haskell. The first time you use a library, you won't know the best practices. The documentation can help you. It'll list everything you need, but often a lot more. It can be hard to know what's necessary and what's not.
So another great thing to do when starting out is to find a project that has used the library before. You need to establish some baseline of "something that works". This way, you'll have a more solid foundation to build on. You'll have specific examples to work from, which will help build your "end-to-end experience".
In my first project, I used the Parsec library without using any examples! My code was sloppy and repetitive. There were many shortcuts I didn't know about hiding in the docs. And I could have avoided that if I had first looked for a project that also used the library. Then I could have started from there and built my knowledge.
Documentation and examples work in tandem with each other. If you use the docs without examples, you'll miss a lot of shortcuts and practical uses. If you use examples without the docs, you'll miss the broader picture of what else you can do! So both are necessary to your development as a programmer.
Conclusion
Haskell has developed a lot in the last few years, so this is a great time to learn what the language is capable of! Our Practical Haskell course aims to help you become a more seasoned developer. It'll help you avoid all the mistakes I outlined in this article. So if you've got the basics down and want to learn more, this is your chance!
And if you're not as confident in your skills yet, you can also check out our Beginners course! It requires no experience and will walk you through the basics!