Complete Python Programming Course: Beginner to Advanced

Discover how to swap two variables in Python, compare a wrong approach, use a temporary variable, and master the one-line tuple unpacking with x, y = y, x.

Discover how Python's id() returns a unique identifier for each object, how literals may share the same object in memory, and how the is operator tests object identity.

Learn how dictionaries store key-value pairs in Python, with distinct keys and unordered order. Use indexing, get, in, len, pop, del, and popitem to access, update, and remove items.

Explore Python's logical operators, including and, or, not, with short-circuiting, boolean expressions, and non-boolean results from strings and lists.

Explore identity comparison operators in python, using is and is not to compare object IDs and memory locations; see how literals may share references, while containers like lists do not.

Explore Python bitwise operators, including left shift doubling by powers of two, right shift dividing by powers of two, and bitwise not toggling bits, with two's complement for negatives.

Learn to compute the sum of the first n natural numbers using the formula n(n+1)/2, with 10 and 100 day examples and a Python implementation.

Learn to extract the last digit of a user-provided number in Python using modulo 10, with a robust approach for negative values via absolute value.

Write a Python program that determines leap years by checking if a year is divisible by 4 but not by 100, unless it is divisible by 400.

Learn Python's range function, which generates numbers. Range(n) yields 0 to n-1, range(a, b) yields a to b-1, and range(a, b, step) yields a to b-1 by step.

Explore how to use the continue statement in Python with a for loop to print numbers not multiples of 5, and see an alternate solution without continue.

Learn to print a Python pyramid pattern using nested loops; place spaces as n minus i minus one and stars as two times i plus one per row.

Examine the Fibonacci sequence through a stair-climbing problem, showing how each term equals the sum of the two previous terms and implementing a Python solution.

Explore functions in Python, using def to define reusable blocks that print dates or greetings, accept parameters, and return values for flexible, centralized formatting.

Discover how functions reduce code redundancy, enable abstraction through library functions, enhance maintenance, and improve modularity by organizing input, processing, and output while avoiding variable name collisions.

Learn how Python functions can return multiple values using tuples, lists, or dictionaries, and unpack them into separate variables for printing or further calculations.

Discover how global variables in Python are defined outside functions, how local variables shadow them inside functions, and how to modify globals with the global keyword and the globals() function.

Find the first digit of a positive number in Python using two methods: iterative division by 10, or log10 with powers to extract the digit.

Explore strings in Python as sequences of characters and how ASCII and Unicode store text data. Recognize strings are immutable and use single, double, or triple quotes.

Explore escape sequences and raw strings in Python, and learn how backslashes, quotes, and newline characters affect string literals. Apply these concepts to avoid syntax errors and write robust code.

Learn how Python compares strings lexicographically by character, using Unicode codes and ASCII values; uncover how case affects order and how ord reveals code points.

Reverse a string in Python by building the reverse and printing it, or with a one-line slice. Understand string immutability and slice syntax, such as s[::-1], to obtain the reverse.

Convert a non-negative integer to its binary string in Python, handling zero as a corner case. Use a naive division-by-two approach and a concise bin-based method with slicing.

Explore how Python slicing works for lists, tuples, and strings using start, stop, and step, including defaults and negative indices.

Write a Python function that takes a list and a value x and returns a new list containing only the elements smaller than x, preserving their original order.

Learn to separate a list into evens and odds by writing a function that traverses the list, checks divisibility by 2, appends evens and odds accordingly, and returns a tuple.

Check if a list is sorted in non-decreasing order by a linear traversal, treating empty or single-element lists as sorted, and print yes or no using the sorted function.

Demystifies object-oriented programming by organizing code into entities like student, faculty, and course, each with data and methods, so objects can interact.

Learn how class methods modify class attributes and create instances using the cls parameter and decorators, and use static methods as general-purpose utilities not tied to any class.

Explore Python operator overloading using magic methods, as shown by a Product class that sums prices with the plus operator; covers __init__ and other overloadable methods and readability debates.