Learning goal: If you just want to know the basic knowledge and grammar of Python, you can achieve your goal through online tutorials, books and self-study resources. However, if the goal is to learn Python deeply and make achievements in data science, Web development, machine learning and other fields, then participating training institutions can provide more systematic and professional courses and comprehensive learning support, which will help to master core skills faster.
Study time and economic conditions: it takes a certain amount of money and time to participate in training institutions. If personal economic conditions permit and you can spare enough time, it may be a good choice to join a training institution. If time and economic conditions are limited, then self-study is also a feasible choice.
Learning environment and atmosphere: participating in training institutions can gain a more concentrated learning environment and a stronger academic atmosphere, and learning exchanges with classmates can promote each other and make progress together. Self-study needs strong self-discipline and consciousness, and it needs to arrange the learning progress and time in a planned way.
Considering the above factors, if you have a strong interest in Python and want to make achievements in related fields, then joining a training institution may be a better choice. But if you have limited time and economic conditions, or just want to know the basics of Python, then self-study is also a good choice. No matter which way you choose, the key is to keep learning enthusiasm and persistent attitude, and keep practicing and exploring, so as to truly master the core skills of Python.