The Python Programming A-Z Definitive Diploma

Learn how Python variables act as containers for data. They change with the equals sign and descriptive names; Python uses object references with case sensitive naming and top-to-bottom execution.

Learn how to assign and change variable values in python using the assignment operator and the print function, with dynamic typing recognizing string data types.

Learn to assign multiple values to multiple variables in a single line using comma separation, print each value on its own line, and assign the same value to several variables.

Explore constants in Python, variables whose values should not change, defined in a module and named with uppercase underscores, such as pi and gravity. Understand Python does not prevent reassignment.

Explore numeric literals in Python, including binary, decimal, octal, and hexadecimal formats, and work with integer, float, and complex types through practical examples.

Learn how string literals in Python use single or double quotes for single-line strings, and triple quotes for multiline strings, including character literals and raw strings with prefix r.

Explore boolean literals in Python, including true and false values, their equality to 1 and 0, and simple examples showing their outputs.

Explore the Python None literal, indicating a null value. Note that None is not a type and differs from zero or empty strings, in a simple drink or food example.

Explore four literal collections in Python programming language—list, tuple, dictionary, and set—through simple code examples that demonstrate each data type.

Learn to work with integers, floating point numbers, and complex numbers in Python, and use the type function to determine a variable's class and its real and imaginary parts.

Learn how lists in Python are ordered sequences that can hold multiple data types, created with square brackets, and accessed via zero-based indexing and slicing to extract ranges.

Change list items in Python by assigning a new value at a specific index, showing lists are mutable; you can also replace the entire list with a new one.

Learn how tuples in Python provide an immutable, ordered data structure similar to lists, enabling index access and slicing, with faster performance since they cannot be changed.

Learn to define strings in Python with single, double, and triple quotes, print them, access characters by zero-based indexing, and understand string immutability and type errors from assignment.

Learn how sets in Python are unordered collections of unique items defined by curly braces, with no indexing and duplicates eliminated, producing varying order on each run.

Explore dictionaries in Python as an unordered collection of key-value pairs optimized for retrieval. Declare dictionaries with braces and access values by key in square brackets, noting missing keys.

Learn to use Python's print function to output strings and variables, control separators and end parameters, and explore built-in functions in the standard library.

Explore Python string formatting with the format method, using placeholders and positional or keyword arguments for clear outputs. Practice reading input with input() and converting values with int or float.

Master importing modules in Python with the import keyword, including selective imports like from module import name, and learn how Python searches the module path.

Master Python arithmetic operators by learning how to perform addition, subtraction, multiplication, division, modulus, floor division, and exponentiation using operators and operands, with examples using variables.

Learn Python comparison operators by using two integers to evaluate greater than, less than, equal to, not equal to, and their inclusive counterparts, returning true or false.

Explore how Python's logical operators and, or, and not determine truth values and control expressions, with examples illustrating outputs.

Explore assignment operators in Python, learn how to assign values to variables, and use compound operators for addition, subtraction, multiplication, and division, including floor division and modulus.

Discover identity operators in Python, including is and is not, to check if two variables reference the same object in memory rather than merely having equal values.

Explore membership operators in Python, focusing on in and not in, and learn to test whether a value exists in sequences such as strings, lists, tuples, and dictionaries.

Explore how conditional statements in Python drive decision making, using the if statement to execute code only when a condition is true, with indentation marking the block.

Learn how the if else statement works in Python by evaluating a condition and executing the if or else block accordingly.

Master the Python if, elif, and else conditional statements to check multiple expressions, execute the first true block, and handle all-false cases with an else.

Explore how to nest if, elif, and else statements in Python using indentation, with a sample program that classifies input numbers as positive, negative, or zero.

Learn how while loops control repetition in Python, including breaking and continuing iterations, counting from one to six, printing values, and handling loop conditions with break and continue.

Master for loops in Python to traverse sequences such as lists, tuples, strings, and other iterable objects, and use break, continue, and indentation to print each item.

Learn how the Python range function powers for loops by generating number sequences with default start at zero and step of one, and how start, stop, and step customize iteration.

Learn to create lists in Python with square brackets, index items from zero, and understand that lists are ordered, changeable, allow duplicates, and can hold mixed data types.

Create lists in Python with the list constructor and the list function, and use the type function. Access items with zero-based and negative indexing, and slicing with start and end.

Explore list operations in Python by checking membership with in, updating items by index, and adding elements with insert and append, using practical fruit-list examples.

Learn how to append elements from another list, remove items by value or index using pop, remove, or del, and clear or delete entire lists.

Explore tuples in Python, a collection of ordered and immutable items that can store multiple data types; learn how to create, index, duplicate values, and convert between tuples and lists.

Learn to determine a tuple’s length with len, display its type, and create single-item tuples with a trailing comma, while mixing strings, numbers, and booleans.

Explore the tuple constructor, zero-based and negative indexing, slicing, and membership tests, plus immutability and converting between tuples and lists to update items.

Explore sets in Python: they store multiple items, are unordered and unindexed, and disallow duplicates; create a fruit set, check its type, and find its length.

Explore how Python sets hold multiple data types, created with curly braces or the set() constructor, support membership with in, and are iterated with for since they can't be indexed.

Iterate over a fruit set, print items like apple, fig, and banana, test membership, and add items with add and update, noting random order.

Learn to manage sets with remove, discard, and pop; remove raises an error if absent, discard does not, pop removes an item from an unordered set; clear or del it.