About Course
This course provides a comprehensive introduction to Python programming, starting with the fundamentals and progressing to more advanced concepts used in modern software development. Learners will develop a strong understanding of Python syntax, control flow, functions, object-oriented programming, file handling, and error management through practical examples and exercises.
As the course progresses, it introduces professional development practices such as project organization, modular programming, virtual environments, dependency management, logging, and unit testing. Learners will also work with commonly used libraries and tools while building reusable and maintainable code.
By the end of the course, students will be able to write clean Python programs, structure larger projects effectively, and apply Python confidently across domains such as data science, machine learning, automation, and backend development.
Course Content
FUNDAMENTALS OF PYTHON PROGRAMMING
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Introduction to Jupyter Notebooks and Python Programming
24:44 -
Variables, Data Types, and Type Conversion in Python
23:39 -
Operators in Python.
00:00