Python Mega Course : Go Beginner to Expert in Python3

Explore Python arithmetic operators, performing numeric calculations with plus, minus, multiply, and divide; see string concatenation with the plus operator and learn about modulo and ternary operators.

Explore Python's assignment operators, including equals, plus equals, minus equals, multiply equals, divide equals, modulus equals, with examples showing how to assign and update variables.

Write a Python expression that assigns the average to a variable named average in one line using the plus and divide operators and the print function.

Learn to use the assignment operator and shorthand forms in Python to write concise, readable code with examples like +=, *=, and /= that update variables.

Learn Python's comparison operators and how they produce boolean values. Use equals, not equals, greater than, less than, and greater than or equal to, or less than or equal to.

Apply equal and not equal operators in Python to compare dynamic variables, drive conditional logic, and print outcomes with practical examples of restaurant status and variable comparisons.

Learn how Python's logical operators and, or, and not evaluate true or false values to control conditional statements and program flow.

Explain how to use the is and is not operators in Python to test object values, contrasting with equal and not equal, with examples using car and color.

Learn how to invert boolean values in Python using the not operator and the is operator, with printed outputs demonstrating true and false inversions.

Explore bitwise operators in Python, including and, or, xor, not, and left and right shifts, through practical bit-level examples.

Explore Python's conditional control flow using if statements to run code based on conditions like age checks, thresholds, and boolean expressions.

Explore Python else statements and if statements, using boolean conditions to control flow, with practical examples like discount calculations in an e-commerce or ERP context.

Explore how to build nested if statements in Python, using inner conditions to evaluate positive and negative values and two-digit numbers, and print the matched results.

Learn Python for loops by iterating over strings with the range function. See how the loop prints characters and numbers from a range.

Discover how the Python while loop repeats a block of statements until a condition is false, with initialization, increment, and pre-test of the condition.

Explore how break, continue, and pass statements control loops in Python, enabling you to exit, skip iterations, or perform no operation within for and while loops.

Explore Python nested loops, including nested for and nested while loops, with outer and inner loops, ranges, and printing outputs.

Learn how Python uses an else block with loops, demonstrating a for loop with range(5) and a while loop that runs and executes the else clause when the loop completes.

Learn how to create a Fibonacci series in Python using loops and if statements, starting from 0 and 1, with practical demonstrations and iterative logic.

Define a Python function as a block of code that performs a task and use it to split a library management system into modules, improving readability and enabling code reuse.

Learn how to define and call Python functions, pass values like x and y, and compute the average using (x + y) / 2 by invoking the function with parentheses.

learn how to define function arguments, use the return statement to end a function and pass results, and distinguish between print and return in Python.

Explore nested functions in Python, where an inner function is defined inside an outer function, called in sequence, and demonstrates scope, return values, and dynamic creation.

Learn how to create and use python modules by building .py files, importing them with import and from, and using modules like math with functions such as tan and sin.

Learn how Python uses 0-based string indexing to access characters, illustrated with the word hello and indices 0 through 4, including printing indices 1 and 3.

Explore how negative indexes work in Python, starting from -1 at the end and proceeding leftward, with examples of accessing and printing characters using -2 to -6.

Explore Python slicing to extract and modify parts of strings and sequences with start, stop, and step, using the slice constructor in practice.

Learn to remove odd-indexed characters from a string in Python using a function, a for loop, and modulus 2 to build and return the result.

Learn how the Python list append method adds a single element to the end of a list, demonstrated with an initial numeric list and appending a new item.

Learn to use Python's string format method with positional formatting to insert prize values and print the formatted results.

Learn zero-based indexing and negative indexing in Python, and practice slicing strings to extract characters and substrings with common examples.

Demonstrate converting strings to uppercase in Python using the upper and capitalize methods, with examples and explanations of when to apply each function.

Discover how to use Python's built-in max function to find the highest character in a string and the largest number in a numeric sequence, with practical examples.

Master Python's input function to read keyboard data and display prompts with print statements. Store input in variables, learn that input returns a string, and note basic type casting.

Learn how Python lists act as mutable, ordered containers that support positive and negative indexing, allow heterogeneous elements, and enable operations like append, insert, extend, remove, pop, sort, and reverse.

Learn to update elements in a Python list by index and by slice. Replace single items or multiple items with concrete examples.

Explore mutable lists in Python, learning how to create and modify lists with append and remove, and using methods like clear, extend, insert, and pop.

Compare creating lists literally and programmatically in Python, showing how to declare a list of emails and print it. Distinguish explicit literal definitions from stepwise programmatic updates.

Explore Python list membership by checking if an item exists using the in operator and printing yes or no, illustrated with a list of languages: Python, Java, PHP, Ruby.

Explore tuples, Python's immutable sequence akin to lists. Create tuples with parentheses, mix integers and strings, and print diverse examples to see immutability in action.

Learn to access tuple items by index in Python using square brackets, printing elements at indices 0, 1, and 2, such as Python, PHP, and Java.

Learn how to delete a tuple in Python using the del keyword, delete the entire tuple, and why individual items cannot be removed from a tuple.

learn how to iterate lists in Python using a for loop, printing each element and understanding lists as dynamic containers that store multiple data items.

Explore indexing and slicing in Python to access parts of sequences such as lists and tuples. Practice skipping items and using negative indices with concrete examples.

Explore using a Python list as a stack, perform push and pop with append and pop, and understand last in, first out by stacking Python, PHP, Java, Ruby, and C++.

Learn how to implement a queue in Python using deque from collections, enqueue and dequeue operations, and how to add and remove elements in practice.

Learn how to shuffle lists with the random module, and concatenate lists using the plus operator, then merge multiple lists to extend a Python list with practical country examples.

Explore Python dictionaries as key-value data structures, learn how to create, access, and print items, and see different initialization methods with examples like car: BMW and model: 2020.

Learn how to update a Python dictionary using the update method, changing keys and values such as a car model from BMW to Ford, and printing the updated dictionary.

Learn how to merge two dictionaries in Python using the update method, with examples like car, plane, and cycle, and verify the merged keys and values.

Learn to sort a dictionary by keys and values using Python's sorted method, iterate over keys to access corresponding values, and understand how sorting affects order.

Learn how to delete dictionary elements in Python, including removing specific keys, using the clear method to empty a dictionary, and deleting the entire dictionary, with printouts showing the changes.

Learn to use len() to find a dictionary’s length, which equals the number of keys, while duplicates don’t count, and changing values doesn’t affect length, with examples.

Learn how to check if a key exists in a Python dictionary using the in keyword, with if statements and clear true/false outputs.

Explore Python sets, an unordered, efficient collection of unique elements. Create sets with the set constructor or literals, remove duplicates, check size with len, and use union and intersection.

Learn how to convert a dictionary into a list in Python by initializing a dictionary and an empty list, iterating over the dictionary, and appending elements to the list.

Learn to remove items from a Python dictionary using pop and popitem, including deleting keys like BMW and Ford and understanding that popitem removes the last inserted entry.

Explore binary trees in Python by building a tree with a root node and left and right children, and compute size, height, and in-order traversal.

Learn how to implement nested loops over lists in Python, using an inner loop to iterate sublists and an outer loop to traverse the main list, with practical printing examples.

Explore how python raises and handles exceptions in common scenarios like missing files and invalid inputs. Learn about built-in exceptions, value error, index error, key error, and zero division error.

Explore handling Python exceptions with try and except, using except as to capture errors like division zero error, indexed error, key errors, and venue error, plus default Python error behavior.

Learn how to raise exceptions in Python by using the raise statement with custom messages, handle type errors, and validate user input to enforce integers.

Learn how try, except, and finally manage exceptions and resource cleanup in Python, with examples showing finally always runs to close files and release resources.

Explore safe arithmetic in Python by validating integer inputs and handling zero division with try-except, raising and catching zero division errors to print a clear, user-friendly message.

Explore object oriented programming in Python by modeling real life with classes and objects, learning attributes and behavior, and mastering abstraction, encapsulation, inheritance, and polymorphism.

Introduce Python classes and objects in object-oriented programming, showing how a class is a blueprint for objects with attributes like color and model, demonstrated via car and animal examples.

Explore Python constructors as methods that initialize class instances, using the init method and self to set attributes; see how object creation triggers the constructor, including non-parameter and parameterized forms.

Learn how to initialize objects in Python using the init method, aka the constructor, to set class attributes when an object is created.

Create an empty Python class with the pass keyword, then instantiate a car object with attributes like name, model, and color, and access them via dot notation.

Explore how to define and use instance methods within a class by creating an object and accessing its attributes, such as car type and car model, through the object.

Explains object methods in Python by showing how the first argument self binds to the instance, accesses attributes, and supports a car class method that displays name and color.

Learn how the self parameter represents the instance in Python, enabling access to a class's attributes and methods, as shown with a car example.

Learn how to delete an object and its properties in Python using the del keyword, illustrated with a Car class and its name, color, and model attributes.

Explore how to access and manage class attributes from an instance in Python, using getattr, hasattr, setattr, and delattr to read, check, set, and delete attributes.

Explore inheritance in Python, a core object oriented programming concept, by defining parent and child classes, reusing attributes and methods, and building subclasses that derive from base classes.

Explore multi-level inheritance where a parent class provides functionality to child classes, enabling subclasses to extend features without changing the parent, and see how objects access inherited attributes.

Explore multiple inheritance by showing a son class inheriting attributes from father and mother, including name and age, and demonstrating how to access and print these values.

Explore method overriding in Python by comparing a parent class and a child class with the same method name, demonstrating how a subclass can override parent logic through inheritance.

Explore Python encapsulation by wrapping variables and methods into a class, enabling data hiding with private and protected members and providing controlled access through public attributes.

Explore polymorphism in Python by using a base animal class with cat and dog subclasses that override a common noise method, showcasing multiple forms of behavior in object oriented programming.

Explore data abstraction in Python by concealing complex implementations behind abstract classes. Learn how abstract methods define blueprints and how concrete subclasses like card and wallet payments implement them.

Learn how getters and setters in Python provide data encapsulation by retrieving and updating object attributes, with validation logic, demonstrated through a class example managing each object's job.

Learn how the Python super function provides access to a superclass method from a subclass, using a temporary superclass object to call inherited methods.

Learn how the Python lambda function provides a shortcut for declaring small anonymous functions, and see how a lambda expression takes an argument and returns a value.

Master python dictionary comprehension by building dictionaries from iterables with key-value expressions, using for loops and a single-line approach, and compare two ways including range-based examples.

Explore how the map function applies a function to all elements of an iterable, returns a map object, and converts to a list, tuple, or dictionary, including multiple iterables.

Learn how Python's filter function takes a predicate and a sequence, returning items for which the predicate is true, with a practical numeric example.

Explore how the reduce function in Python applies a function across items to compute a final value, using functools, with a sum example and options for predefined or lambda functions.

Learn how iterators traverse all elements of a collection in Python using the iterator protocol, with next and StopIteration handling, and how for loops drive iteration.

Learn to create a database and establish a connection in Python, using a cursor, and manage exceptions with try/except and finally to ensure the connection closes.

Learn to create a database table in python using the execute method, define a primary key with auto increment, and specify fields like name, age, and department.

Learn to insert a record into a database table using insert into, set values for name, age, and department, with a cursor and commit, including rollback on errors.

Execute a select query to fetch all student records using a cursor. Then use fetchone in a loop and fetchall for the full list, finally close the connection.

Update a database record using the update command, set values like name and age, execute with a cursor, commit changes, and handle errors with rollback.

Learn how to delete a database record in Python by using a delete from command with a where clause, executing with a cursor, and safely closing the connection.

Apply the limit clause in Python by executing a select on a cursor, fetch results, and print the records from the database.