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Overview
Focused on hands-on learning, this course helps learners master Python by solving 100 diverse coding problems. Starting with basics such as variables, loops, and functions, it advances to file handling, object-oriented programming, and libraries like Num Py and Pandas. Many problems focus on data processing and algorithmic thinking, building a strong foundation for AI and machine learning applications. This problem-solving approach ensures learners gain confidence writing efficient Python code, a critical skill for AI developers. The course suits beginners looking...
Syllabus
- Exercise 1 to 25
- Exercise 26 to 50
- Exercise 51 to 75
- Exercise 76 to 100
Instructor
Ardit Sulce
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