What is Python? Python is one of the most popular programming languages today, designed by Guido van Rossum and developed for over 30 years since 1991. Python is an interpreted, multipurpose, and object-oriented programming language. Its notable features include a simple and readable syntax and support for numerous powerful libraries and tools. It is these advantages that have made Python one of the most widely used programming languages today. According to the 2022 Stack Overflow Developer Survey, Python is the fourth most popular programming language, with participants stating that they use Python for nearly 50% of their development work. What is the reason for the popularity of Python? Python is a highly popular programming language among developers, so what is the reason behind Python's popularity? Its simple syntax, similar to natural language, makes it easier to read and understand. This helps in faster project development and improvement. Versatility. Python is applied in various fields, from web development to machine learning. Beginner-friendly, making it popular among novice programmers. It is open-source, meaning it can be used and distributed freely, even for commercial purposes. Python's library of modules and libraries is diverse and continuously growing, thanks to the contributions of the community. Large and active community involvement. The community support helps in quickly finding solutions to any issues encountered during learning and work. What are the applications of Python? Python has a wide range of applications, and due to its ease of learning, it is used by professionals outside the programming field, such as accountants and scientists. So, what are the applications of Python? What is the Python programming language used for? Data analysis and machine learning Python allows data analysts and experts to perform complex statistical calculations, create visualizations of data, build machine learning algorithms, manipulate and analyze data, and complete other data-related tasks. Python can create various types of visualizations for data, such as line and bar charts, pie charts, frequency charts, and 3D charts. Web development Python is commonly used to develop the backend of a website or application. It plays a vital role in sending and receiving data between the client and server, handling database interactions, URL routing, and ensuring application security. Python provides several frameworks for web development, with Django and Flask being the two most popular frameworks used for building high-quality web applications. Automating tasks or writing scripts Python helps automate repetitive tasks. The process of writing code to build these automated workflows is called scripting. Python scripts can be used to automate tasks such as data processing, error checking, report generation, performing web-related tasks, automating production processes, and much more. Software testing and prototyping In software development, Python can assist in tasks such as version control, error tracking, and testing. With Python, software developers can automate testing for products or new features. Some Python tools used for version testing include GitPython and PyGithub, libraries like Sentry and Airbrake for error tracking,... What is the Python learning path? Where should beginners start learning Python? What are the essential Python knowledge areas to learn? Let's refer to the detailed Python learning path below from Rikkei Academy: Learn basic Python syntax This step will help you understand fundamental concepts like variables, data types, conditions, loops, functions, and classes. These are the basic and most important concepts in Python, and if you don't have a clear understanding of them, you will face difficulties when working on Python projects.





Learn string manipulation Python is a powerful programming language for string manipulation. This step will help you grasp basic string methods such as reverse, slice, concatenate, search, and replace. This will enable you to handle string data and create powerful string manipulation functionalities in your Python projects. Learn about Python objects Python is an object-oriented programming language. This step will help you understand how to create objects and the distinctive features of object-oriented programming languages, such as inheritance and polymorphism. Once you grasp objects in Python, you can create your own objects and utilize them in your Python applications. Learn about modules Python has a robust library with thousands of modules. This step will help you understand how to use popular modules like NumPy, Pandas, Matplotlib, and BeautifulSoup. These modules will accelerate your development speed and allow you to build more complex Python applications, saving you time and effort in the development process. Learn frameworks and libraries In this step, you need to identify the area you want to specialize in and delve into studying frameworks and libraries specific to that area. For example, in web application development, you need to understand how to use popular web frameworks like Flask or Django. In the field of data science and machine learning, you will need to learn how to utilize libraries like Scikit-learn, TensorFlow, and Keras for data analysis and building machine learning models. Learn through practice and building real projects Finally, this step will help you apply the knowledge you have learned and enhance your programming skills. Creating real projects to apply your knowledge and build practical applications will make you a better programmer. You can also start with small projects to apply your knowledge and strengthen your programming skills.