Emanuela Avagyan (she/her) has been working as a data analyst since 2020. She has a background in psycho-, neuro-, and clinical linguistics.
We’ve all learned a language at some point in our lives. Specifically, I’m talking about natural languages, which is the term to describe the languages used for human communication.
While not all of us have learned programming languages, it turns out that learning a programming language is a lot like learning a natural language. This may not come as a surprise to you, but as a neurolinguist and programmer, I can see these connections clearly.
If you’ve just begun learning to code or are simply curious, contextualizing coding by relating it to languages might help code feel more relatable. It’ll also help you understand what aspects to prioritize to gain fluency.
… And if you already know how to code, knowing about these connections can help you become more proficient and communicate concepts to others as well.
If you get excited about learning languages, I believe you can capitalize on that passion to grow an affinity for programming as well. Perhaps, like me, you might enjoy coding for its differences as well.
Today, I’ll share how learning to code compares to learning a natural language:
In a natural language, there are many building blocks that come together to construct a sentence. Each component plays a different role, and you need to understand how they differ in order to correctly use them.
Similarly, programming languages also have building blocks that form to combine the analogous sentences for code: expressions or statements. These components all play different roles as well.
For instance, here are the components that exist in English and Python (they are, of course, shared among other languages as well):
Once you know the building blocks in a language, you have to follow a set of rules called syntax. The syntax tells you how to correctly structure the building blocks to create a valid expression, statement, or sentence.
In English, one syntax rule is that adjectives go before nouns. (e.g., “Purple hat”)
A syntax rule in Python is that statements end in a colon and subsequent expressions get indented:
if 1 > 2: print(“hello world!”)
Just like in a natural language, following the proper syntax when coding is important to ensuring your sentences are correct and make logical sense. If you do not use the proper syntax in Python, you will most likely get an error message such as
SyntaxError: invalid syntax, which is essentially the computer trying to tell you, “I do not understand what you are saying.”
While syntax concerns structure, semantics concerns meaning.
In both natural and programming languages, the meaning of your sentence is affected by the building blocks you use, and how they relate to one another. For instance, if you use the wrong components, or piece of code, the meaning of your sentence will change.
You can have proper syntax but yield incorrect semantics, which means you’ve communicated something you hadn’t intended.
Let’s consider an example in English: “This is a square circle.”
This is a syntactically correct sentence, but semantically it sounds rather strange. While in a different universe there might be such a thing as a square circle, in our own universe this sentence doesn’t quite make sense and therefore contains a semantic error.
To consider an example in Python:
number1 = input('Please enter a number:') number2 = input('Please enter another number:') sum = number1 + number2 print('The sum of', number1, 'and', number2, 'is', sum)
With this code, we may expect to get the sum of the two numbers that we enter as input values. However, if you’re familiar with Python, you probably know that the input function returns a string (in other words, textual values). Unless we convert the strings into integers (in other words, numbers), our result will be two numbers concatenated to each other, rather than added. For example, in the case of ‘1’ and ‘3’, we would get ‘13’ instead of 4. So while our code is syntactically correct, the result is not what we had in mind and therefore is semantically incorrect.
Just as with any language, code itself forms a bigger story. To understand the meaning, you need to understand the semantics and relations between all the smaller bits of code that comprise the story.
This leads to our next point!
In order to become fluent in a language, you need to build an internal dictionary of the words you use in the language. It’s the only way you can ensure you’re able to express what you mean to say.
Vocabulary is the range of words that compose a language.
Vocabulary can consist of words within various subcategories in a language. For instance, in English, it’d include nouns, adjectives, and adverbs, ranging from “building” to “happily”. When learning English, we would probably memorize that a ‘building’ is a noun that has the meaning ‘a structure’, while ‘happily’ is an adverb that means ‘with joy’.
Likewise, studying your vocabulary in Python would need to span many categories, including:
When learning Python, we need to memorize each term and its meaning, as well as how to use it. For example
In the beginning, when you’re first learning to code, it might be frustrating when you can’t remember things you feel you’ve learned. But as with any language, it takes time and patience to gain fluency.
Until you really internalize knowledge about the building blocks and their roles, the functions and data structures to use, and the syntax rules, your writing and comprehension will be slow. You may need to reference notes or meanings of pieces of code. You won’t be able to enter that flow state where words come naturally – and that’s ok!
Over time, you’ll commit more of the words and phrases to memory. With experience, you’ll be able to command the language fluently, and know exactly what words and names to use when constructing your code.
Immersion is one of the best ways to learn a language. For instance, living in another country gives you no choice but to learn it. While you can’t quite immerse yourself in a nation that speaks Python at the grocery store and bus stop, diving deep into a language and spending focused time with it will be more effective than casually dabbling in it. Being part of a community of developers and programmers will also speed things up considerably.
The reason immersion works well with learning languages is because you’re forced to learn by doing – which includes making mistakes. Learning by doing is the best way to learn coding as well. If you don’t actively use the knowledge you gain, you won’t commit it to memory or get a-ha moments after being stuck.
That being said, immersion can be a strenuous activity for your brain when you’ve just started to learn. Your brain needs to take breaks in order to process the new information. So it’s helpful to give your brain a rest from absorbing the new language you’re learning. Even in your downtime, your brain is saving that information in your memory.
We’re social creatures, so there’s an interesting phenomenon that happens to all of us with languages: we tend to speak the way that others are speaking around us. Even as a linguist, I’m not immune.
For instance, I currently live in the Netherlands and speak Dutch. Despite my proficiency in English, I’ve succumbed to the local blend of Dutch and English (colloquially known as Dunglish). It’s not a terrible thing, but it becomes problematic because others look to me as an example of a proficient English speaker. In reality, I end up modeling incorrect practices.
In the case of programming, the risk is that you may pick up bad habits that contradict coding best practices. There are plenty of people out there who don’t follow these best practices, but you really don’t want to join their ranks. Bad habits such as lack of comments, or not using meaningful naming, will negatively affect the productivity of any team of developers you work with. Even if you’re not a senior developer, other developers could be looking to you as an example, so it’s important to be mindful about avoiding problematic habits.
I love language because it gives humans a way to connect with each other. And it’s fascinating to explore the ways that our language affects how we see the world (and vice versa).
Despite the technical rules of linguistics (from syntax to grammar), human communication has a lot of variation and nuance. Sometimes, the tone with which someone speaks gives us information that isn’t communicated through the words… and sometimes it’s what they don’t say that tells us something too!
There are some fascinating nuances that come with interacting with humans, but I have to be honest – interacting with computers has some refreshing differences.
When you code, you’re communicating with computers and you have a specific problem to solve.There’s a whole process of understanding how to put your code together in a way such that the computer can extract exactly one interpretation, and do exactly what you want.
Of course there are many other differences between programming and natural languages. But these are the differences that I’ve found refreshing, despite my love for natural languages.
Every day, you’re using language to interact with people around you. In our modern world, we also need to interact with computers now and then. The skills involved in learning a programming language are not so different from what you use in learning a natural language.
I never imagined I would be a programmer. In fact, I accidentally discovered coding while pursuing a degree in neurolinguistics. For me, the fact that I could apply it in the field of neurolinguistics fueled the fire under my desire to learn coding.
I think many people find it intimidating to learn programming, especially if they don’t have a background or training in computer science. But there’s a reason that many people around the world learn coding independently and still succeed. Our brains are built for language, and even if it takes time, you can become fluent as fluent in a programming language as your native language.
However, some courses like Educative’s Learn How to Code with Python provides beginners with a comprehensive and interactive platform to delve deeper into the programming world and further enhance their programming skills.
I hope seeing these connections will help you master fluency along your coding journey!
Liked this piece? Don’t miss any of our other blog posts about coders’ journeys! Scroll down to subscribe to our bi-weekly newsletter.
Join a community of 1.7 million readers. Enjoy a FREE, weekly newsletter rounding up Educative's most popular learning resources, coding tips, and career advice.