New Python programmers often make critical mistakes that slow their learning. One common error is not mastering the basics, such as understanding data types, loops, and functions, before jumping into projects. Another issue is poor code readability; skipping indentation or using unclear variable names makes debugging more difficult. Relying too much on copy-pasting code without understanding it is also a bad habit. Avoid ignoring error messages, they provide valuable clues. Lastly, skipping structured learning can lead to confusion. Enrolling in a Python programming training course ensures proper guidance, hands-on projects, and industry-aligned practices to build a strong foundation and avoid these common pitfalls.
