This is for the documents leaving history for studying python referred to the book called “Do it 점프 투 파이썬”
DisclaimerThis post is a personal study note created while learning the topic discussed. Some information may be inaccurate or incomplete. If you notice any errors or have suggestions, I’d sincerely appreciate your feedback.
Are there good and bad programming languages?
Personally, I don’t think so. There aren’t inherently “good” or “bad” languages. Some languages are simply more suitable for specific purposes than others.
It’s like this, if you live in the United States, English is more practical than Korean. In the same way, the best programming language depends on the kind of project you’re trying to build.
For example, JavaScript and Python are commonly used for web development.
Kotlin and Swift are better suited for mobile applications.
If you’re working on hardware control or high-performance computing, C or Rust might be more appropriate. So instead of asking, “Is this a good language?”,
the better question is, “Is this the right tool for what I want to make?”
What you can do with Python
Each programming language has its own strengths and is suited to different kinds of tasks. For example, C and C++ are commonly used in system development and game engine programming, where high performance is essential. Java is widely adopted for building stable enterprise systems and Android apps. JavaScript is the standard language for adding interactivity to websites. Swift is great for developing iOS apps, Go is known for fast and efficient server development, and Rust is gaining attention in system-level programming for its focus on safety and performance.
So, what is Python good at? Python is known for its simple, readable syntax, which makes it especially friendly for beginners. At the same time, thanks to its rich ecosystem of libraries and frameworks, it is a powerful tool in professional settings as well. From web development and artificial intelligence to data analysis and automation, Python is used in a wide range of fields.
Let’s take a closer look at what you can do with Python, one field at a time.
Web Development
Python is widely used to build the backends of web applications. Frameworks like Django and Flask allow developers to quickly create secure, scalable web services. Whether it's user authentication, database integration, or building RESTful APIs, Python makes it easy to implement these features with clean and concise code.
Data Analysis and Visualization
Python is a powerful tool for data analysis. With libraries like Pandas, NumPy, Matplotlib, and Seaborn, you can process large datasets, perform statistical analysis, and create clear visualizations. It is used across industries to extract insights from data for decision-making, research, and marketing.
Artificial Intelligence and Machine Learning
Thanks to frameworks such as TensorFlow, Keras, and PyTorch, Python has become the go-to language for AI and machine learning. It is used to solve complex problems like image recognition, natural language processing, recommendation systems, and autonomous driving. From basic models to deep learning, Python covers it all.
Automation and Productivity Tools
Python excels at automating repetitive tasks and simplifying daily workflows. You can use it to send emails automatically, organize files, automate Excel tasks, or scrape data from websites. It is especially popular among professionals and non-developers looking to boost productivity with minimal coding.
Game Development
With libraries like Pygame, Python is suitable for creating 2D games and interactive content. It’s a great language for beginners to learn the fundamentals of game design and logic. Python can also be used in combination with major game engines like Unity for scripting and tool development.
Internet of Things (IoT) and Hardware Control
Python can run on devices like the Raspberry Pi, making it a great choice for controlling sensors, motors, and other hardware. It is widely used in smart home projects, robotics, and environmental monitoring systems, acting as a bridge between electronics and software.
Finance and Blockchain Development
Python is also widely used in finance. From stock data analysis and algorithmic trading systems to risk management tools, Python is trusted for building financial applications. It’s also used in blockchain development for smart contracts and transaction analysis. Its strengths in math and statistics make it well-suited for this field.
Education and Beginner Programming
Python’s simple and intuitive syntax makes it one of the best languages for beginners. It is commonly taught in schools and universities, and widely used by self-learners of all ages. With a vast range of tutorials and online resources available, Python is a great entry point into the world of programming.
