Python has emerged as the most favoured open-source language for Data Analytics. It readily integrates with other technologies and offers greater stability, leading to higher programming productivity especially in complex Agile projects. Python reduces development time by nearly half with its easy to read syntax and simple compilation function. Debugging programs is a straightforward task in Python with its built in debugger.
- Knowledge of basic programming concepts
- Knowledge of object-oriented concepts will be beneficial
- To understand why Python is a useful scripting language for developers.
- To learn how to design and program Python applications.
- To learn how to use lists, tuples, and dictionaries in Python programs.
- To learn how to identify Python object types.
- To learn how to use indexing and slicing to access data in Python programs.
- To define the structure and components of a Python program.
- To learn how to write loops and decision statements in Python.
- To learn how to write functions and pass arguments in Python.
- To learn how to build and package Python modules for reusability.
- To learn how to read and write files in Python.
- To learn how to design object‐oriented programs with Python classes.
- To learn how to use class inheritance in Python for reusability.
- To learn how to use exception handling in Python applications for error handling
- Lectures 0
- Quizzes 0
- Students 0
- Assessments Yes