Many people want to learn computer programming, but give up because they do not know where to start. There are many types of programming languages, and unfamiliar terms such as variables, functions, and conditional statements feel difficult at first.
However, the basic principles of programming are simpler than you think. The foundation of programming is for a human to determine a sequence to solve a problem and express that process in a form that a computer can execute.
In particular, the number of fields where non-developers can utilize programming has increased recently. Beyond automating repetitive tasks or organizing and analyzing data, you can build websites or directly create simple programs you need.
In this article, targeting non-majors encountering programming for the first time, we will summarize everything from what coding is, how to choose a programming language, step-by-step study methods, common mistakes made by beginners, and how to start an actual project.
What is Computer Programming?
Computer programming is the process of instructing a computer to perform specific tasks. While humans use natural language when conversing with each other, to command a computer, you must write instructions in a format it can understand. The tool used at this time is a programming language.
For example, consider a human performing the following task:
Enter two numbers.
Add the two numbers.
Display the calculated result on the screen.
This is a very simple task for a human, but for a computer, you must inform it of this process through specific instructions. Programming is precisely the act of expressing these processes in code.
What is commonly referred to as coding is also a part of this programming process. Writing code, executing it, fixing errors, and creating desired results form an important part of actually learning programming.
Programming is Not Simply Memorizing Code
The most common mistake beginners make when starting programming is trying to memorize all the syntax. However, remembering all syntax in programming is practically impossible. Even developers write programs by checking necessary syntax or function usages through official documentation or search engines.
What is important is not how many commands you have memorized, but the ability to divide a problem into small steps and think about what sequence to instruct the computer in.
For example, if you have a problem like “I want to automatically rename daily repeated files,” you can divide it as follows:
Check where the files are located.
Retrieve the list of files.
Find the required part in the file name.
Create a new name.
Change the file name.
This mindset of breaking down problems into small tasks is the core of programming.
Why Should You Learn Programming?
In the past, programming was mainly considered a specialized skill used by developers. However, as tasks utilizing computers and data have increased, the scope of applying programming has also widened.
For instance, at work, you can automate repetitive Excel tasks, and personally, you can build programs that organize multiple files at once or analyze specific data.
If you run a blog or content channel, you can also leverage programming to organize data or automate repetitive tasks.
The purpose of learning programming does not necessarily have to be becoming a developer.
It Can Be Utilized for Work Automation
One of the most practical application areas for beginners learning programming is work automation.
For example, if you have to open dozens of files daily, check their content, and rename them, handling repetitive tasks with a program can be much more efficient than doing it manually.
Using Python, you can automate various tasks such as file handling, Excel data organization, text processing, and simple data analysis.
Therefore, rather than setting a huge goal right away like “I will become a developer,” setting a goal like “I will automate one annoying task I do every day” is also a great approach.
Types of Programming Languages and Selection Criteria
There is not just one single programming language. Various languages such as Python, JavaScript, Java, C, C++, C#, PHP, Go, and Rust are used, and each is suitable for different fields.
For someone studying for the first time, having so many options can actually feel burdensome. Therefore, rather than searching for the “best language,” it is better to first decide what you want to build.
Python
Python has relatively concise syntax and can be applied in various fields, making it a frequently chosen language for programming beginners. Its scope of application is wide, including web development, data analysis, artificial intelligence, automation, and file processing. It is particularly good for individuals encountering programming for the first time to approach in order to learn basic code structures and logic.
JavaScript
If you want to directly build websites or web applications, studying JavaScript is also an option. You can implement features that run in web browsers, and by utilizing related technologies and frameworks, you can expand into server development as well. However, aiming for complex web development from the beginning may expose you to multiple technologies like HTML, CSS, and JavaScript simultaneously, so beginners should step by step approach basic web structures first.
Java, C, C++, etc.
Java has been long used in enterprise software and various application developments, while C and C++ are utilized in system programming or fields where performance is critical. This does not mean these languages are bad choices. However, for a beginner encountering programming, it is important to select based on consideration of personal goals and learning difficulty.
Ultimately, what matters more than language selection is picking one language, writing code directly, and experiencing problem-solving.
Programming Learning Roadmap for Non-Majors
Rather than trying to learn too much content at once, it is better to proceed with programming study step by step. Approaching it in the following manner makes it easy to set your learning direction:
Step 1: Learning Basic Programming Concepts
At first, study fundamental concepts such as:
Variables
Data Types
Operators
Conditional Statements
Loops
Functions
Lists
Dictionaries
File I/O
Exception Handling
You do not need to perfectly understand every detail from the start. For example, for variables, start by understanding the concept that they are spaces for storing data, and try directly saving numbers and strings. Similarly for conditional statements, rather than studying complex theory first, it is important to grasp the structure of “execute A if the condition is met, otherwise execute B.”
It is important to type code yourself If you study programming only through books or videos, your ability to actually write code may not improve well. Even for code you feel you understood while watching lectures, it is better to type and execute it directly.
Modifying parts of the code is also important. For example, changing numbers or modifying conditions to verify how outcomes differ makes it easier to understand programming structures compared to merely memorizing code.
Step 2: Solving Small Problems Directly
Once you have become somewhat familiar with basic syntax, move on to the stage of making small programs. There is no need to build a massive program from the beginning.
For example, you can try building projects such as:
Simple Calculator
Multiplication Table Generator
Number Guessing Game
Unit Converter
Simple Household Budget Tracker
To-Do List
Text File Organizer
Batch File Renamer
Since such programs are small in scale, even beginners can easily understand their entire structure.
Experiencing error resolution directly is important Errors in programming study are not something to avoid. Rather, your skill improves significantly in the process of encountering and resolving errors.
At first, it is difficult to even comprehend what an error message means. However, repeatedly encountering errors will allow you to guess where a problem occurred. For instance, minor slips like missing a parenthesis or typing a variable name wrong can cause errors in a program.
Therefore, when an error occurs, it is good to build a habit of reading error messages instead of immediately giving up on the code.
Step 3: Making Programs Needed for Yourself
If you have grown accustomed to basic syntax and solving small problems, it is now ideal to create projects connected to your own needs.
For example, if you manage a blog, you can build a program to organize post titles or keywords, or if you handle many files, you can create a program to categorize files automatically. If you frequently use Excel, you can build a program that automates repetitive data processing operations.
From this stage onwards, rather than studying merely for the sake of studying, you experience building programs that can actually be used.
Step 4: Deciding a Field of Interest and Studying Deeply
After getting familiar with basic programming, you can choose a domain according to your goals.
If interested in web development, you can study HTML, CSS, JavaScript, etc. If interested in data analysis, you can study Python and data analysis-related libraries. If work automation is your objective, you can add necessary technologies one by one, such as file processing, Excel, APIs, and web automation. If interested in AI or machine learning, the general path is to master Python basics first and then expand into related domains.
Trying to study all fields from the start might lead to not mastering anything properly.
Common Mistakes Made in Self-Taught Programming
Attempting to memorize all syntax People learning programming for the first time tend to think, “I need to memorize this, and I need to memorize that too.” However, in actual development, searching for necessary syntax and checking official documentation is natural. Therefore, what is important is not remembering all syntax itself, but the capability to identify what functionality is needed and find ways to implement it.
Continuously watching lectures only Taking multiple programming courses does not necessarily improve your coding skills. While watching lectures, it feels as if you understand everything, but when trying to write code directly, you often get stuck. Therefore, each time you finish a lecture, it is good to directly build a small program using what you learned.
Starting with projects that are too difficult If a beginner tries to make services like shopping malls or SNS from the beginning, the amount of required technology is far too vast. This is because you must simultaneously study various elements such as web servers, databases, login, security, and UI design. Initially, gaining the experience of “completing one program” is crucial. Completing a simple program and gradually adding features is a much more realistic approach.
Simply copying and pasting other people’s code There are countlessly many code examples on the internet. Searching and referencing examples is not a problem, but repeating only copying and pasting code without understanding will make it difficult to comprehend why it works. If you brought code, it is good to rename variables or modify functions. Directly altering parts of an example and checking how the program’s operation changes will yield much higher learning effects.
How Not to Fear Error Messages
One of the biggest reasons beginners give up on programming is errors. When executing code and a red error message pops up, it is easy to think, “I guess I have no talent for programming.”
However, errors occur very naturally during the programming process. In fact, never encountering an error during the development process is a stranger phenomenon.
Things to check when an error occurs When an error occurs, first verify the following contents:
Read the error message to the end.
Check the location where the error occurred.
Check variable names, parentheses, etc.
Search the key sentence of the error message.
Modify code little by little and re-execute.
Searching the error message verbatim is also a good method. However, rather than blindly copying code from search results, it is important to try to understand why the error occurred. Repeating this process will allow you to solve within minutes problems that initially took tens of minutes.
Is Studying Programming for 30 Minutes a Day Sufficient?
Someone learning programming for the first time may easily think they need to study several hours every day. However, what matters is consistently writing code directly rather than the study duration itself. Even 30 minutes a day can accumulate a significant amount of learning if you write code daily.
For example, you can study like this:
Monday: Study variables and data types, and make a simple calculation program.
Tuesday: Study conditional statements and make a number comparison program.
Wednesday: Study loops and make a multiplication table or number printing program.
Thursday: Study functions and convert previously made programs into function structures.
Friday: Study file I/O and make a simple text file processing program.
Weekend: Utilize what you learned during the week to complete one small program.
Proceeding with study and practice together like this makes it easier to verify how much your skill has grown compared to simply watching lectures.
The Habit of Documenting While Studying Programming
If you self-study, documenting what you learned is also helpful. In particular, keeping records of the following contents will be useful when studying again later:
Newly learned syntax
Concepts that were difficult to understand
Errors that occurred
Methods used to resolve errors
Programs built directly
Features you want to add later
As these records accumulate, they become your personal programming reference materials. While mere simple notes at first, over time they can become quite useful personal documentation.
Tools Needed for Studying Programming
You do not need to prepare expensive equipment or programs from the beginning. Just a general computer and internet environment are sufficient to start studying programming. All you need is to set up a development environment where you can install a programming language and write code.
At first, rather than spending too much time learning the development environment itself, getting used to basic code writing and execution is better.
Additionally, establishing a habit of utilizing official documentation and search engines is important. Since programming is a field where new technologies constantly emerge, cultivating the ability to directly search for necessary information is better than trying to solve everything with a single lecture or book.
If You Learn Programming, Must You Become a Developer?
Not necessarily. Just because you learn programming does not mean everyone has to become a software developer. Purposes for utilizing programming can differ from person to person.
Someone might study to become a developer, while another might study for work automation. Yet another person might learn to analyze data or directly manage their own website.
Therefore, before starting programming study, thinking about what you want to gain first is advisable. If you do not have the goal “I must become a developer,” making small programs that can actually be used in your life or work is a sufficiently meaningful learning method.
Learning While Making Actual Projects
If you have studied programming to a certain extent, selecting a project needed for yourself is good.
For instance, assume you have thousands of photo files on your computer. If you want to organize photos by date, you can design a program like this:
Locate the folder where photos are stored.
Retrieve the list of files inside the folder.
Check date information of each file.
Create folders matching the dates.
Move files to the respective folders.
Write down what the program needs to do in plain text first, and then translate it into code one by one. This is precisely the problem-solving process spoken of in programming. Rather than trying to write completed code from the beginning, organizing what the program should do in human-understandable language first is key.
The Most Important Thing in Self-Taught Coding is the Experience of Completion
When studying programming, the experience of actually completing something is more important than merely increasing knowledge volume. Even for a very small program, building it directly from start to finish becomes a significant experience.
For example, if you made a simple calculator, you can add a calculation history saving feature next time. After that, you can also handle user input errors.
Developing a small program step-by-step naturally leads you to study new syntax and technologies. In the end, the project creates the necessity for new study.
Core Principles for Sustainable Programming Learning
To study programming for a long time, there are several principles worth remembering:
First, set small goals. The goal “I will master programming” is too broad. Instead, setting a specific goal like “I will build one program using conditional statements today” is better.
Second, write code directly. Reading or listening alone is insufficient. You must type and execute it directly.
Third, accept errors as part of the learning process. An error is not a failure, but information telling you which part of the program has an issue.
Fourth, build a habit of searching for necessary contents. Rather than trying to memorize all syntax, learning how to find required features is crucial.
Fifth, continuously complete small projects. Completing small programs one by one allows you to check your skills and gives you motivation to move to the next stage.
Conclusion: Programming Starts from a Single Line of Code
When first encountering computer programming, it can feel difficult due to unfamiliar terms and syntax. However, the basic principles are not complicated. Divide problems into small units, organize the resolution process in order, and express it in a form executable by a computer.
There is no need to study all programming languages and technologies from the beginning either. Selecting a language relatively easy to enter, such as Python, mastering basic concepts like variables, conditional statements, loops, and functions, and then making small programs directly is more than enough to start.
What matters most is directly writing code without just continuously studying. You can evolve step-by-step: try making a simple calculation program today, a file organizing program next time, and an automation program you actually need after that.
Meeting unfamiliar syntax during the learning process is completely natural. Occurrences of errors are also natural. Referencing internet searches or official documentation is also a natural process.
Ultimately, programming capability depends not on how much code you memorized, but on whether you can discover problems, break them down into small steps, find resolution methods, and implement them into actual code.
If you are starting programming for the first time, practicing these three things first is a great idea:
Set learning goals very small.
Write code directly for at least 30 minutes every day.
When an error occurs, do not give up; find the cause and resolve it.
Even if it is merely printing a simple “Hello World” at first, the moment code written by your own hands runs on a computer, your programming study has begun. As the experience of completing single small programs accumulates, you will grow to a stage where you design and build programs you need yourself before you know it.