PYTHON FULL COURSE

Categories: programming
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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.

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Course Content

FUNDAMENTALS OF PYTHON PROGRAMMING

  • Introduction to Jupyter Notebooks and Python Programming
    24:44
  • Variables, Data Types, and Type Conversion in Python
    23:39
  • Operators in Python.
    00:00

BASIC DATA STRUCTURES IN PYTHON

CONTROL FLOW

FUNCTIONS IN PYTHON

COMPREHENSIONS

WORKING WITH FILES AND DATA

EXCEPTION HANDLING IN PYTHON

OBJECT ORIENTED PROGRAMMING IN PYTHON

ESSENTIAL PYTHON LIBRARIES

WORKING WITH EXTERNAL SYSTEMS

INTRODUCTION TO BUILDING PYTHON APPLICATIONS

TOOLING AND DEVELOPMENT

EXPLORING THE PYTHON ECOSYSTEM

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