Complete Python Course: Learn From Beginner To Advanced

Learn how to access individual items in a Python list using zero-based indexing, as demonstrated with a fruits list and print statements.

Explore set concepts in Python by accessing items in an unordered collection of unique elements, demonstrating duplicate elimination and iteration to display the original and cloned set states.

Learn how to create and access dictionary items in Python by building a simple dictionary with name, age, and city, and retrieving values using keys.

Learn to access items in a Python tuple using zero-based indices, by handling a tuple of books and printing the first and second items.

Learn how to add and remove list items in Python using append, list concatenation, remove by value, and del by index, with practical fruit examples.

Learn how to add and remove dictionary items in Python by building an employee info dictionary and using the pop method to update and display changes.

Learn to add and remove items in Python sets, including add and discard methods, and gracefully handle missing elements within the set of unique elements using practical fruit examples.

Learn multiple value assignment in Python by unpacking values from a list into variables. Unpack values from a tuple into other variables, with practical examples and visible outputs.

Learn to create and manipulate arrays in Python with NumPy, including declaring arrays, printing results, and building zeros and ones arrays for data processing.

Learn to modify Python dictionaries by updating values for specific keys, such as name, age, and grid, and display the original and updated dictionaries.

Learn how to modify individual list items by index in Python, using a fruits list and a numbers example to demonstrate updating elements and displaying the changed list.

Explore booleans in Python by declaring boolean variables and applying logical operators and, or, not to control decisions and display results.

Learn Python data types and dynamic typing, using type() and print to explore integers, booleans, lists, tuples, dictionaries, and complex data. See basic concepts of coordinates and grids.

Explore Python classes and objects as blueprints that encapsulate data and behavior, then build a simple dog class with a name, age, and a bark method.

Explore how Python treats arguments and parameters, including positional and keyword arguments and arbitrary argument lists, through a display_info example that formats and prints key-value pairs.

Create, read, and delete files in Python using open, read, write, and os.remove, while handling file not found errors with try-except.

Explore Python lists as a versatile, dynamic data structure that stores diverse items and empowers you to create, access by index, modify, add with append, and remove with pop.

Learn to loop through Python sets to iterate unique elements and use unions. See practical fruit set examples with for loops and the union of sets A and B.

Learn to loop through a Python tuple with a for loop that prints each item, then use range and length for index-based iteration and a while loop for indexed printing.

Explore Python string modification by changing case, converting to lowercase or uppercase, and concatenating strings. View demonstrations that print the original and modified strings.

Discover how to organize Python code using modules, import and use module functions, and run a complete example with the math module to compute sine values.

Explore Python nested dictionaries by building a student data model with subjects and grades, and learn how to access nested values and print results.

Define numeric variables and apply Python arithmetic operators—addition, subtraction, multiplication, division, modulus, and exponent. Show results to demonstrate building expressions from basic arithmetic operations.

Explore output variables in Python by using the print function and f-strings to format and display personal information, including name and age.

Learn how print displays information to the console for debugging and user output, while return sends a computed value back to the caller within Python functions.

Learn how to use Python's re module to define a regular expression, perform basic pattern matching, and locate the Python substring in text by its index.

Explore how to use set methods in Python to manage unique elements with add and remove. See practical examples using fruits and colors to modify sets dynamically.

Explore Python sets, learning how to store unique, unordered elements and perform add, remove, and state operations to manage collections efficiently.

Learn how to use Python string slicing to extract substrings, display results, and reverse strings through practical examples.

Explore essential Python string methods, including replace and split, to manipulate text, convert case, and break sentences into word lists.