프로그래밍 기술을 쉽게 배우는 방법

### 쉽고 간편하게 프로그래밍을 시작하는 방법: 팁과 리소스
* 📱 텔레그램 채널에 참여하여 **퀴즈를 풀고 프로그래밍에 대한 지식을 뽐내보세요!**
* 💻 **150개 이상의 작업을 빠르게 완료**하고 유연하게 작업하며 좋아하는 피자를 즐길 수 있는 간단한 코딩 시작 방법이 있습니다.
* 🎯 프로그래밍 언어의 선택은 **프로그래밍의 논리가 언어 간에 일관성을 유지**한다는 점을 이해하는 것보다 덜 중요합니다.
* 🛠 미리 알림이나 계산기 등 일상 생활에서 자동화할 수 있는 작업을 파악하고 **웹 개발용 Python 또는 모바일 앱용 Kotlin**과 같이 해당 작업에 따라 프로그래밍 언어를 선택하세요.
* 🔄 "반복은 학습의 어머니"라는 말이 있듯이 구문과 코딩의 유창함을 익히기 위해서는 초기 연습이 중요하므로 **기초적인 주제를 건너뛰지 마세요.**
* 📖 교육 자료의 코드 예제를 분석하고 다시 작성하여 이해를 높이고 프로그래밍 기술을 강화하는 한편, **GitHub와 같은 플랫폼을 탐색**하여 다른 사람의 코드를 통해 배우세요.
* 실수는 학습 과정의 일부로 받아들이세요. **실수는 귀중한 교훈**을 제공하고 코딩 능력을 향상하는 데 도움이 됩니다.
* 📚 유연한 결제 옵션이 제공되는 **Python 프로그래밍 과정에 등록**하여 실무 경험을 쌓고 웹 개발 및 데이터베이스와 같은 고급 주제에 대해 알아보세요.

프로그래밍은 누구나 쉽게 접근할 수 있으며, 실수는 학습과 성장에 필수적인 요소입니다.

By the way, we have a cool Telegram channel where we often launch quizzes, and you can show off your knowledge. The link is in the video description. Subscribe! 

What if we told you that there are ways to easily and painlessly start programming? And then get a hundred and fifty-plus tasks done in a nanosecond, work on a flexible schedule, and eat pizza anytime? 

Yes, such ways exist, and you won’t need to say Christmas tree eight times and then look under your pillow waiting for an offer. 

Alright, little frog, now we will tell you about great ways to easily and painlessly start coding. To learn programming, it doesn't matter which programming language you choose. The logic behind it is the same everywhere. 

Ask your family, friends, colleagues, or even yourself: What tasks can I automate to make life easier? For example, a bot that reminds you that Monday has already passed and it's time to go to the gym. Or a calculator,

which will calculate taxes. Or even a timer to take the chicken out of the oven on time. There can be a multitude of tasks. Next, depending on which task you choose, read about the tasks for which each programming language is used. For example, Python and JavaScript are often used in web development, and they are quite simple. So they are suitable if you want to create a website about your cat. For mobile application development, you need Kotlin, Swift, or Dart, and so on. This way, you can understand which one suits you best. Also, keep in mind that a programming language is just a tool that you need to learn to work with. However, the skill of programming is something that allows you to write code in a programming language without even thinking about it, as if you are writing text in natural languages. For example, in Russian and English, if you are from England.

Surely, in school during computer science lessons, you have already studied some programming language. Therefore, when you open a great course on the Merion Academy website, you tend to skim through the beginning. After all, you already know about variables, syntax, and so on. Why study that again? 

And this is where a fatal mistake occurs. 

Firstly, because all programming languages differ in terms of syntax, meaning how they are written. Additionally, the varieties of the same data types can be different. 

Secondly, initial practice will help you get used to how code is written, making it easier as you progress. And thirdly, as our ancestors said, “Repetition is the mother of learning.” 

So, here’s another piece of advice: it’s important not to skip any topics and to keep developing, so you can code without thinking about syntax. 

Overall, learning programming is not something you can do just on weekend evenings once a week. Like any activity, for example...

Sports or playing the guitar, both require practice. By the way, there are many myths surrounding programming that scare people and prevent them from starting to study this promising field. For example, it is said that programming is only for techies, meaning you need to have a good grasp of mathematics and possess algorithmic thinking. But that's not true. All of this can be developed during the learning process. At the initial stage, you may not even need mathematics unless you decide to become a data scientist and delve into the exact sciences. 

In general, it's believed that there are no strict divisions between techies and humanities people. In fact, it's incorrect to categorize people that way. Everyone has the ability to learn anything. To avoid making mistakes by taking myths at face value, check out our video on the top mistakes beginners make in IT. We also provided a lot of tips there. 

Okay, so you're reading or watching the theory, and the author shows examples of code. Do you think they want to show off their knowledge?

No way. This is the first thing that will help you improve your programming skills. The fact is that your hands remember how to type certain constructs in the code on the keyboard. And the more you write code, the more you start doing it on an intuitive level. 

So, just rewrite these examples yourself every time you see them. Just don't forget to run and check how it works. Yes, rewriting is not always bad, especially at the beginning. But copying is not allowed; it won't be useful and will just waste your time. 

But that's not all the advice. No apocalypse will happen if you try to change the code you rewrote. Yes, even if you make a mistake. If you think about it, a program is the easiest thing to change. You can modify the code and almost instantly see the results. This is necessary to understand the program's behavior and to change it if needed.

Thanks to this, you will further reinforce the material you are studying. This is probably one of the simplest ways to enhance your programming skills. 

In fact, rewriting and modifying code from educational materials is half the job. This is just one example. There can be many examples, and every programmer writes code in their own way. 

Therefore, once you have a decent understanding of the syntax of the language, start reading a lot of other people's code. For instance, on a platform where programmers often share the source code of their programs, called GitHub. 

In general, GitHub is both a service for storing source code, tracking all changes in the code, a portfolio collection, and a social network for programmers. You can register there; it will be useful in the future. 

So, go there, find other people's programs in the search, and read how they are written. Start with simple ones, such as calculators or games like rock-paper-scissors, or find collections of solutions.

to understand the principles behind writing efficient code. It's important to analyze the code you come across and learn from it, rather than just copying it blindly. 

When you're faced with algorithmic problems, focus on writing the most efficient piece of code possible. The more external code you review and attempt to reproduce, the better you'll become. 

You might wonder, Is all this code good? How do I know which code to read? Not all code is created equal. Therefore, pay attention to the presence of comments—these are non-executing texts that explain how certain parts of the code work. Also, consider the number of stars and the overall activity in the project.

Even bad examples can be useful. They prepare you for the reality that code in actual projects can be quite different from what you find in educational materials. This doesn't mean that the code in educational resources is poor; it's just that, as we mentioned earlier, everyone writes code differently.

For now, our advice may sound like we are advocating for copying and being inspired by others' solutions. However, that's not entirely the case. All of this is necessary to...

Чтобы перейти к следующему совету – начни писать свой код как можно раньше. Даже если понятно совсем немного и всё ещё тяжело представить, как там эти итераторы внутри работают, всё равно пиши. От того, что ты много раз ошибёшься, ничего не сломается, и компьютер не сгорит. Программирование – это та дисциплина, которая изучается преимущественно через ошибки. 

Ты можешь воскликнуть: “А как же просто и без боли? Любые ошибки – это больно”. Просто запомни, что ошибки – это хорошо. Именно они учат тебя и дают возможность изучить больше. 

Час писал код для вычисления того, как лучше всего поделить пиццу на кусочки, и он не заработал? Не переживай, загугли возникшие ошибки, посмотри, что их вызывает, и исправь. Мало того, что теперь ты вряд ли столкнёшься с такой ошибкой, так ещё и что-нибудь новое параллельно узнаешь. В целом, даже говорят, что джун от синьора...

It only differs in the number of mistakes they encountered. Another great piece of advice we can give is to look at as many sources of information as possible. For example, one course of ours, then another... just kidding. If you don’t understand one explanation, immediately look for another. There’s a ton of information out there on the internet. Yes, that happens. Everyone perceives information differently, and it’s not a fact that the explanation you found will work for you. Therefore, you can always check other sources. There are many different books and articles, for example, in our knowledge base. And if this method doesn’t work, it’s not a big deal. We have a community where you can ask for advice. Just keep in mind that questions like “I don’t understand how this works, explain it to me” don’t work. First of all, what exactly? Secondly, how did you try to solve the problem? Such a question only raises more questions.

Therefore, formulate the problem correctly. Describe how you tried to solve the problem. Be sure to provide examples of the solution. You can add sources of information that were studied. The more the question reveals the problem, the better. Yes, it may seem that this takes a long time. But think about how much time you will spend on clarifying questions, and it will become clear that it is better to disclose the essence of the problem as thoroughly as possible. By the way, how can you understand the essence of the problem? To start, learn to read error messages. In most modern programming languages, error outputs are very clear. For example, this is how errors appear in Python. First, the full path to the file and the line where the error occurred is indicated. Then the reason is displayed, and sometimes even how to fix it. In real programs, logging can also be used. This is when every action in the program is recorded, and during its execution, you can identify errors. Many languages have built-in tools for convenient logging.

Okay, let's go over a few more tips. 

Solve algorithmic problems! What are they? Well, algorithmic problems are similar to math problems. You just need to write a piece of code as efficiently as possible. Efficiency can refer to execution speed, memory consumption, or the number of operations, or as real coders say, iterations, the code needs to perform to arrive at a solution. 

Start with simple tasks, like finding the largest number in a list, and continue to increase the difficulty until you feel like the final boss of a gym. After solving a couple of these problems, your programming skill will sharpen by +5. Moreover, it’s likely that you’ll encounter such a challenge during an interview, and then you’ll thank us later.

Here's an example of such a task on one of the platforms. There are two most popular websites – LeetCode and CodeWars. On them, you will find training exercises with auto-checking and various levels of tasks that need to be solved.

Solve using any languages of your choice. By the way, you can also see the solutions of other people, which relates to the advice about reading other people's code. This is especially important with these tasks. 

In addition to online services for solving problems, there are code editors that can also be accessed through a browser. They are simple and can be used at the start to avoid getting overwhelmed and abandoning everything at the setup stage for writing code. For example, there are Replit and CodePen. 

The first one is a full-fledged replacement for large IDEs right in the browser, while the second can be used for writing simple website interfaces. 

What do you think of this advice? Like this video and share it with friends who also want to learn programming. Then there will be more programmers in your environment, making it twice as interesting. You can work on various projects together and discuss things you didn't understand. 

Lastly, it's normal to struggle. This advice also relates to the previous ones. Struggling while reading documentation and theory is not a bad thing.

Even experienced developers ask their colleagues about new technologies, even though they may seem simple and understandable. They are not shy about it. So, if you want to become a programmer from scratch, don't worry if something is unclear, and don't give up on your endeavors. Making mistakes, finding things difficult, and not understanding something is okay. Just brush it off, keep digging, and keep learning.

Pss... guy or girl, we can help you with that, by the way. We have a cool course on programming in Python. In the course, you will not only learn to code by completing many practical assignments, but you will also learn about object-oriented programming, web development using Flask and Django. You'll even get acquainted with automated testing, web technologies, asynchronous code, and databases. Think that's all? Nooo. You will also receive a career intensive and an English course for free.

For IT specialists. To ensure your career is truly great. By the way, you can pay for all this goodness in installments or in parts. In short, there is so much! Sign up for a free lesson and see for yourself how cool it is. The link is in the description. 

Well, that's all from us. If you are already studying or are a developer, write in the comments about the most challenging things you have encountered and how you dealt with them. 

And as always, give a like to this video, subscribe to this channel and our Telegram, and tell your friends about us. Bye!

Как просто и без боли начать программировать?

Merion Academy

쉽고 간편하게 프로그래밍을 시작하는 방법

미리 알림이나 계산기 같은 일상적인 작업을 자동화하는 등 간단한 방법으로 프로그래밍을 시작할 수 있습니다.

자동화하려는 작업에 따라 적합한 프로그래밍 언어를 선택해야 하는데, 웹 개발에는 파이썬과 자바스크립트가 많이 사용됩니다.

반복과 연습이 프로그래밍 기술을 습득하는 데 핵심이므로 학습 과정에서 주제를 건너뛰지 않는 것이 중요합니다.

통념을 극복하고 프로그래밍 기술 구축하기

프로그래밍은 연습이 필요하며, 기술적인 배경 지식이나 수학 실력이 필요하다는 일반적인 통념은 잘못된 것입니다.

예제에서 코드를 다시 작성하고 수정하는 것은 프로그래밍 기술을 개발하는 중요한 방법이며, GitHub는 다른 사람의 코드를 읽고 배울 수 있는 귀중한 리소스입니다.

효율적인 코드 작성을 위한 원칙

코드를 무턱대고 복사하기보다는 코드를 분석하고 학습하는 것이 효율적인 코드 작성에 중요합니다.

댓글, 프로젝트 활동, 별표에 주의를 기울여 양질의 코드를 식별하세요.

실수를 학습 과정의 자연스러운 일부로 받아들이고 다양한 관점을 위해 여러 정보 출처를 찾아보세요.

프로그래밍에서 효과적인 문제 해결

문제를 올바르게 공식화하고 오류 메시지를 이해하는 것은 프로그래밍에서 효과적인 문제 해결을 위해 매우 중요합니다.

수학 문제와 유사한 알고리즘 문제는 코딩 기술을 연마하는 데 도움이 되며 면접에서 자주 접하게 됩니다.

리플리트, 코드펜과 같은 브라우저 기반 코드 편집기와 함께 리트코드, 코드워즈와 같은 온라인 플랫폼은 프로그래밍 기술을 연습하고 향상시키는 데 유용한 리소스를 제공합니다.

숙련된 개발자도 새로운 기술에 대한 도움을 구하기 때문에 명확하지 않은 부분이 있다고 해서 낙담하지 마세요.

실습 과제, 객체 지향 프로그래밍, 웹 개발, 자동화된 테스트 등을 다루는 Python 프로그래밍 과정이 제공됩니다.

이 과정에는 무료 커리어 인텐시브, 영어 강의, 유연한 결제 옵션도 포함되어 있습니다.