Most people can master the basics of Python in a few months and start writing simple programs. But to become a proficient python developer, it may take more time and consistent practice. The most important thing is to be patient and persistent, to keep learning and practicing.
The specific steps to learn Python can be adapted to your learning style and goals, but here's a general learning path:
Learn the basics of programming:
If you are a complete beginner, it is recommended to understand some basic concepts of programming first, such as variables, data types, conditional statements, loops, etc. These concepts can be learned by reading entry-level programming books or by taking a coding course.
Learn Python syntax and basics:
Next, you can start learning the syntax and basics of Python, including variables, data types, operators, conditional statements, loops, functions, and more. You can learn this by reading the official Python documentation, tutorials, or by taking a course.
Practice writing simple programs:
As you learn, practice writing simple python programs to reinforce what you've learned. You can try to write some small programs, such as calculators, simple text processing programs, games, etc., to improve your programming skills.
Learn more about the advanced features of Python:
Once you've mastered the basics of Python, you can start learning more advanced features such as object-oriented programming, exception handling, file manipulation, modules and packages, regular expressions, and more. These allow you to write more complex and feature-rich programs.
Read excellent** and projects:
You can learn more programming tips and best practices by reading about great ** and open source projects written by others. You can browse through hosting platforms such as GitHub to find some projects of interest and try to read and understand their sources.
Hands-on project development:
Finally, try to participate in some practical project development and apply what you have learned in practice. You can start with simple projects and work your way up to more complex tasks like web development, data analytics, machine learning, and more.
Continuous learning and improvement:
Python is a very flexible and powerful programming language that never stops learning. Stay sensitive to new technologies and knowledge, and constantly learn and improve your programming skills.
The above is a rough learning step, which you can adjust and supplement according to your actual situation and learning goals. Remember to be patient and persistent to gain experience and improve your programming skills.