Python Complete Course For Beginners

Explore python's overview, highlighting its high-level, object-oriented design and easy syntax. Learn coding in immediate mode, script mode, and IDEs like Jupiter Lab, emphasizing cross-platform portability and a rich library.

Explore Python arrays and lists, learn when to use NumPy for real arrays, and master creation, indexing, slicing, modification, and operations like append, remove, concatenate, and multi-dimensional arrays.

Explore Python for loops by iterating over lists and ranges, printing elements in order, using indentation to define blocks, and applying nested loops and an else clause to mark completion.

Explore inheritance and polymorphism in Python's object oriented programming by defining a base class and a subclass, using the super constructor, and demonstrating can swim and can run.

Explore how the Python break statement stops a while loop during a random number guessing demo, showing how the generated number ends the loop and exits the program.

Learn how the Python continue statement skips odd numbers in a for loop from 1 to 19 using range(1,20). See how only even numbers are printed when the condition fails.

Explore Python errors and exceptions with try, except, and finally blocks, handle value and division errors, raise exceptions, and ensure finally executes to close resources.

Practice Python error handling with try, except, and finally by exploring division by zero, type errors, and undefined variables, and learn how specific except blocks handle different exceptions.

Demonstrate user defined exceptions in Python by defining a voters eligibility class that inherits from Exception, raises it when age is below 18, and illustrates try-except-finally flow.

Learn how to declare and define a nested dictionary, access elements by keys, add entries, delete keys, and iterate with for loops to print inner values like name and age.

Discover how the Python pass statement serves as a placeholder in code blocks and loops. Learn that pass does not produce output, and you can add future functionality later.

Learn how python regular expressions search, verify formats like emails and phone numbers, replace matches, and compile patterns to build robust data parsing and validation.

Learn Python list comprehension through practical examples, including iterating a string, using lambda functions, filtering even numbers, and transposing a matrix.

Learn how to use Python's print and input functions, handle string and integer conversions, and leverage the math module's power function through practical examples.