The Python Programming For Everyone Immersive Training

Explains Python conditional statements for decision making using user inputs, and demonstrates if, elif, and else blocks. Shows converting input to int and printing outcomes based on test expressions.

Create a list, tuple, dictionary, set, or even a string, then use a for loop to traverse items, printing each element and its character count.

Master the Python range function to generate integer sequences with one, two, or three parameters, including negative ranges and steps, used with for loops, noting the range object is not a list.

Explore break and continue statements in Python, using for loops and range, including loop-else behavior and practical examples like primes and printing even numbers.

Explore the pass statement as a placeholder for future code, a dummy statement ignored by the Python interpreter and used for functions or minimal classes.

Learn how to construct while loops in Python, starting with i at 1, incrementing until i is less than eight, and using an else clause that runs after the loop.

Learn how to define functions in Python using def, name functions, pass parameters, and include a docstring, with an example that prints the Fibonacci series.

Define a function and call it from another function or the Python prompt to pass arguments and generate a fibonacci series as the function object in the current symbol table.

Define Python functions to generate the Fibonacci sequence up to 100 and return the results as a list using append and return, instead of printing them.

Explore Python functions by mastering arguments and parameters, including default values, variable-length inputs, and prompting with input and the optional prompt string.

Build a while true loop to prompt user input, use if statements to accept specific options and return true, otherwise return false, and decrement retries each iteration.

Raise a value error when retries are less than zero to signal an invalid response. Show a reminder with the print function and a quit prompt using yes or no.

Learn how default argument values work in Python, with prompt, retries, and reminder, and explore three ways to call a function with optional arguments.

Learn how Python evaluates default values at function definition and why mutable defaults, like lists, persist across calls, with strategies to avoid by using None to create a new list.

This lesson teaches defining a Python function with four parameters, three preset and one supplied via keyword arguments, then printing formatted outputs with the print function.

Learn keyword arguments in Python for everyone by calling a function with required voltage and optional state, action, and type, comparing positional versus named arguments and observing print outputs.

Explore keyword arguments techniques by illustrating common function call mistakes, including syntax errors from missing required arguments, empty calls, invalid order after keywords, duplicate values, and unknown keyword arguments.

Learn about anonymous functions in Python, called lambda functions, covering their syntax and single-expression rule. They act as syntactic sugar for normal function definitions and reference variables from containing scope.

Use anonymous functions in Python to sort a list of tuples by the second element using a lambda key. See how the strings sort alphabetically when applying the key parameter.

Learn how the list index method returns the first occurrence of a value, shown with banana at index 3, and how start and end parameters limit search.

Explore Python list manipulation with reverse, append, sort, and pop; add items to the end, reverse sequences, sort alphabetically, and remove elements by index (last item by default).

Discover how Python list comprehensions create lists efficiently using an output expression, an input sequence, a loop variable, and an optional predicate, illustrated by squaring numbers from range(10).

Explore Python list comprehension techniques and compare mapping with lambda to squares using range, highlighting concise, readable lists and equivalent results to map-based approaches.

Explore list comprehension techniques in Python for combining two lists where elements are not equal, using square brackets to form tuples like (x, y), and compare with an append-based approach.

Master the del statement in Python to delete a list, remove items by index or by slice, and clear the list with a colon.

Explore creating and nesting tuples in Python, compare their immutability with lists, and access elements by index using parentheses or comma syntax.

Explore how python tuples are immutable, how they can hold mutable objects like lists, how to create single-item tuples with a trailing comma, and how len and tuple equality work.

Explore tuples and sequences, learn sequence unpacking, and perform multiple assignment, combining tuple picking with sequence unpacking when the left side has as many variables as the right side elements.

Learn how Python sets provide an unordered collection with no duplicates and support membership testing and operations like union, intersection, difference, and symmetric difference.

Use the in keyword to test set membership and return a boolean, then build two sets with the set function to show unordered, unique elements.

Explore Python sets and operations like difference, union, intersection, and symmetric difference, then apply comprehensions to display items from a set not in A, B, or C.

Learn how Python dictionaries store key-value pairs, create dictionaries with curly braces, retrieve values by key, and add new items by assignment.

Explore dictionaries in Python by retrieving values with dict[key], noting case sensitivity, deleting items with del, adding new pairs, and sorting by value using the sorted function.

Test membership with in, create dictionaries with dict and dictionary comprehension, and build from key-value expressions or keyword arguments, as keys 2, 4, 6 map to 4, 16, 36.

Learn how to create and use modules in Python by saving code as .py file, then import a module and call its greeting function with a name to print hello.

Build a Python module with a dictionary of people, import it into another file, and access keys like name, age, and country to print values.

Learn how to name a module file with the correct extension, alias imports with as, and rename modules like mix, then explore built-in and standard library modules.

Explore built-in Python modules, import them, and use the platform module to retrieve system information such as the operating system and Python version to verify compatibility and hardware requirements.

Explore the platform module by listing defined names and functions, and retrieve the operating system name with the system function, using a Windows example. Use the help module to access Python's help system.

Explore Python file handling using the open function, creating, reading, and writing files, understanding append mode and file closing to manage text files in web applications.

Learn to read a text file in Python using the built-in open function in read mode, obtain a file object, call read, and print the contents to the terminal.

Master python file handling by using open in write mode to create or overwrite a file, write new content, and read it in the terminal.

Learn how to create new text files in Python using the open function with write mode to create files named File One and File Two as empty outputs.

Learn how to build a class in Python, the blueprint for creating objects in object-oriented programming, using the class keyword, simple examples, and properties like A=10.

Create objects from a class in Python and learn the basics of object oriented programming, including properties, encapsulation, and printing the X property.

Explore the python init function in object-oriented programming by using a person class to assign name and age with self, then print them from an instance.

Define and use object methods in Python by creating a person class with an __init__ method, self attributes, and a first func method that prints a greeting.

Learn to modify object properties in a Python class by updating name and age on a person instance, then print the updated values to see the changes.

Learn to delete properties and the whole object with the del keyword in Python; removing age from a person instance triggers an attribute error.