Python Programming Fundamentals

Explore essential Python features across variables, data types, lists, dictionaries, functions, operators, conditionals, and loops; learn subsetting, indexing, type conversion, and practice questions with solutions.

Explore Python variables and data types, including integers, floats, booleans, complex numbers, strings, lists, dictionaries, and sets. Learn variable naming, assignment, indexing, slicing, immutability, and implicit versus explicit type conversion.

Explore Python lists as a collection of multiple values of different types, including strings, integers, and floats, with indexing, slicing, and nested lists.

Explore Python dictionaries as a key-value data structure, with immutable keys, mapping from keys to values, accessing and updating entries, deleting keys, and nesting dictionaries.

Discover core Python concepts, including functions, methods, and packages, through practical examples of inputs, outputs, and operations like max and sum.

Explore Python operators, including arithmetic, assignment, comparison, logical, membership, and identity operators, with practical examples. See how they work with strings, lists, and dictionaries.

Explore conditional statements in Python to drive decision making with if, elif, and else blocks. Indentation defines blocks, boolean values, modulo tests, and nested conditions that control executed statements.

Learn Python loops, including while and for loops, with conditions and indentation to repeat blocks. Explore break, continue, and pass, and iterate with enumerate and nested loops.

Master Python functions by defining and calling user-defined functions, handling single and multiple arguments, defaults, flexible arguments, and lambda expressions, with scope and LEGB concepts.

Learn how to define user defined functions with def, pass inputs as parameters, and call them to perform tasks like adding 10 to a number, enabling code reuse.

Explore how functions receive arguments and return values in Python, including passing multiple arguments, returning multiple values, and using the return keyword with dynamic inputs.

Explore how default values and flexible arguments shape Python functions, including positional and keyword parameters, optional arguments, and variable-length inputs with *args and **kwargs.

Develop understanding of Python scope by examining local and global variables, using global and non-local keywords, and exploring enclosing, local, and built-in namespaces in nested functions.

Explore anonymous lambda functions using the lambda keyword to create single-statement, unnamed functions. Apply lambdas to sorting with key, mapping, filtering, and currying with partial for concise data analysis.

Explore advanced Python language features, including comprehensions with syntax and examples, and exception handling with try, except, and finally blocks, plus object oriented programming with classes, instantiation, and inheritance.

Learn python list and dictionary comprehensions to create subsets and transform data in a concise statement. Filter elements by conditions and apply expressions like uppercase to lists as flower names.

Explore how to handle errors in Python with try and except blocks, manage multiple and custom exceptions, and ensure resources are released with finally.

explore how object oriented programming uses classes and objects to encapsulate attributes and methods, instantiate objects, and apply inheritance, polymorphism, and composition for code reuse in Python.

Explore inheritance in object oriented programming by using a superclass and derived subclass to share properties and specialized methods, such as employee name, joining date, and execute work.

Conclude the complete Python programming course and reflect on your learning experience. Celebrate the course you enjoyed and the good learning experience.