Learning programming is like building with blocks, accumulating a sense of achievement bit by bit. If you want to try different learning methods, you can explore CodeCombat, which makes learning Python easy and fun through gamification.Python is indeed powerful and has a wide range of applications, making it easy to get started. The more you learn, the more you realize what you don’t know; the more you don’t know, the deeper you dive into learning. Eventually, you will face increasing challenges until you feel overwhelmed and naturally consider giving up, which is very common.The biggest problem with learning Python is not knowing what software the input and output environments are. Using Jupyter, the code block is the input, and pressing enter + shift executes the code and produces the output.Once you finish learning Python, can you start working with it?Do you need to think like a graphic designer using Photoshop?With Python, you can directly call third-party libraries for many tasks.If you want to use Python to assist you in learning calculus, you can become familiar with Python functions related to calculus in about a week, which will help you in your studies.If you have some project ideas, for example, if you are a director and want to categorize classic filming techniques and music scoring methods into a database, you can learn libraries like xlrd and xlwt. Once you learn the basic syntax, you can fulfill your requirements. Or if you want to understand deep learning, after learning the basic syntax, you can install PyTorch and study it gradually to achieve your goals. If you want to use Python for office tasks, learn how to implement data visualization, and similarly look for relevant applications. Even without a specific goal, you can follow free online courses and code step by step; over time, you will at least be comfortable with syntax and simple applications. After getting started, you can explore on your own.For beginners who start with Python as their first language, having a weak foundation and insufficient understanding of object-oriented concepts makes it naturally difficult to grasp more advanced knowledge. Once your foundation is solid and you learn design patterns, revisiting these advanced topics will be much easier.In Python, only PyQt has achieved the ability to model programming with drag-and-drop GUI icons; others are still limited to text-based GUI coding.The reason people choose to program in PyQt is primarily due to the powerful and flexible class-based syntax provided by the underlying Python library environment, rather than the advantages of the GUI.Python is great because of its extensive libraries. The reason I learned Python seems to be because the Gaia star catalog is published in CSV format, which is very difficult to read with Fortran.Python can configure multiple versions through virtual environments.Regarding opencv-python and opencv-contrib-python, you may not know that this is not determined by Python but by OpenCV. Compiling the C++ version of OpenCV has the same issue; it’s like one is the basic version, and contrib is the enhanced functionality, with Python just providing a wrapper for calling it.Python treats the first parameter as the instance itself, and you can also use ‘this’. Additionally, if a method is prefixed with a class method decorator, Python will not treat the first parameter as the instance itself; this class method must be called through the class itself.This is because Python is not inherently an object-oriented language, and to implement OO, it has developed this approach, similar to ‘this’ in JavaScript?