Description
Course Overview of Programming Practices (C) Python
Welcome to the conclusion of CS406-Programming Practices (c) Python with Dr. Rahul Dubey Sir!
In this comprehensive Python programming course, we've covered a vast array of topics, starting from the basics to advanced concepts. Let's recap the journey:
0.0 Course Introduction:
- Understanding the essence of Python programming.
- Course coverage overview.
- Learning Outcomes.
Unit 1: Introduction to Python:
- Definition, history, and versions of Python.
- Exploring Python's flavors, features, and applications.
- Top IDEs for Python and Anaconda Framework installation.
- Various ways to run Python programs.
Unit 2: Fundamentals of Python
- Introduction to Python fundamentals, including tokens and data types.
- Deep dive into data types, operators, and type conversion.
- Understanding advanced data types and constants.
Unit 3: Input-Output & Advanced Data Structures
- Input and output methods.
- Comprehensive coverage of flow control and string manipulation.
- In-depth exploration of list, tuple, and dictionary data structures.
Unit 4: Function
- Introduction to functions and their arguments.
- Exploring variable types and function variations.
- Understanding decorator functions and generator functions.
Unit 5: Modules & Packages
- Overview of modules and packages in Python.
Unit 6: Exception Handling
- Introduction to exception handling.
- Handling various exceptions and user-defined exceptions.
Unit 7: Object-Oriented Programming
- Introduction to OOP concepts like classes, objects, and constructors.
- Exploring variables and methods in OOP.
- Understanding class interactions, inheritance, and polymorphism.
Unit 8: Standard Libraries
- Introduction to standard libraries.
- File handling basics and operations.
- Exploring regular expressions for advanced pattern matching.
As we conclude this course, you've gained a solid foundation in Python programming and its practical applications.
Thank you for your dedication and commitment throughout this learning journey!
Dive deeper into each topic and enhance your Python skills. Feel free to revisit any section as needed. Keep coding, and may your Python journey continue to flourish!
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