Learn how python iterators work and how to obtain an iterator from an iterable like a tuple, then use next to print items such as lemon, orange, banana.

Learn to create an iterator from a string and retrieve each character with next, using iter('orange') and successive next calls to display all six characters.

Learn how to loop through iterables using for loops in Python, iterating over tuples, lists, and strings to print each item or character.

Learn to build a simple Python iterator by implementing the __iter__ and __next__ methods, initialize with __init__, and return the instance and the next item in the sequence.

Build a numbers class with a next method to return the next item in the sequence, instantiate it, and print items from one to seven using the next method.

Create a Python generator that yields numbers starting from one, increments each time, and stops after 17 items by raising a StopIteration exception inside the next method.

Explore Python scope by distinguishing local scope from global scope and see how variables defined inside a function, like i equals 90, are accessible only within that function.

Explore inner functions in Python by creating an inner function inside an outer function, demonstrating scope rules, local variables, and why the inner function is not defined globally.

Explore global scope in Python by showing a global variable accessible inside a function, with a local shadow yielding 50 inside and 70 globally.

Explore how the global keyword in Python promotes a variable from local to global scope, allowing modification of global variables inside functions and preventing scope errors.

Learn how to format strings in Python using the format builtin method, control placeholders with braces, and display numbers with two decimals, as shown with degree = 25.

Learn how to add multiple values to Python's format method using variables like quantity, item number, and price, format placeholders, and display a two-decimal dollar amount.

Master index numbers in string formatting with placeholders to place values by their positions. Apply the format method to reuse variables by index and produce formatted outputs.

Use named indexes in Python string formatting by naming placeholders and passing values by name, illustrated with BMW and X5 in a format method example.

Explore how Python generators create iterators using the yield statement to emit a sequence of values. Build and test a simple generator function, use next to retrieve each item.

Understand how the return keyword differs from yield in generators; using return terminates the function and stops iteration after the first yield, illustrating stop iteration and terminal behavior.

Understand how generator functions in Python use a for loop and range to produce values, pause execution, and resume with next while preserving local scope and handling stop iteration.

Create a Python generator named squared sequence that yields the square of each number in a range using yield, next, and for loops, illustrating stop iteration handling.

Learn to traverse elements over a generator using a for loop instead of next, with automatic stop iteration handling, by implementing a square sequence generator and printing each square.

Explore generator expressions as a concise alternative to full generator functions, and learn to pass them without parentheses into built-in functions like sum, using range and the math module.

Learn how to use regular expressions in Python with the re module, importing re, calling search to match patterns, and using if statements to report a match (yes or no).

Learn Python's regular expression module, using findall to return all matches, search for match, split strings at matches, and sub to replace patterns with meta characters, character classes, and sequences.

Learn how to handle no matches by returning an empty list and using an if-else to display 'match' or 'no match' when string comparisons yield no results, demonstrated with 'Brazil'.

Use Python's re module to search a string for the first whitespace character and return a match object. It prints the first whitespace position, starting from zero.

Explore None in Python, the NoneType object, and how searches return None when no match is found, with all None assignments sharing the same object.

Learn how to use Python's regular expression split to return a list split at each match, including splitting by whitespace and controlling occurrences with the max parameter.

Learn how the sub function in Python's regular expressions replaces whitespace with a chosen text, demonstrated by replacing spaces with the number nine in a string.

Learn to control the number of replacements by specifying a count parameter; change the count and the symbol, and the vertical symbol prints only for the first three white spaces.

Learn to use the regular expression module to locate first match of a word starting with an uppercase letter and retrieve its start and end positions from the match object.

Explore Python's regular expression module by using the search and group functions to return the part of the string where there was a match, print results, and handle no-match cases.

Learn to use Python's collections module and its namedtuple to create objects with named fields such as name, age, and country, access values by attribute or index, and print them.

Learn how the Python standard library's collections module uses ordered dictionaries to preserve insertion order, iterate items, and display key-value pairs with readability.

Use the Python collections deque to add and remove items from either end with append, appendleft, pop, and popleft, and note its memory efficiency over a normal list.

Explore how Python packages organize modules and files, create a package named my package with greeting and math modules, and implement add, average, and power functions.

Learn how to import a module from a package using from ... import ..., and call functions like power, sum, and average.

Discover how a folder becomes a Python package via an init module that exports functions such as power, average, and greeting, enabling import from scripts or the interpreter.

Install a package globally using the setup tools module and setup function, then verify by running the package in a terminal and calling its average function.

Explore the Python math module, exposing underlying C library functions for floating point math and standard functions, note that some do not support complex numbers, and see cosine of pi/4.

Explore logarithms with base 2, calculating log(1024) equals 10, and learn to use Python's random module to select a random item from a list (banana, apple, lemon) with random.choice.

Explore how to use Python's random module to generate numbers and samples, including sampling without replacement from a range of 100 and selecting 10 items, plus generating random floats.

Explore the Python statistics module and learn to compute mean, median, and variance of numeric data using the built-in functions on a sample data list.

Explore how Python decorators wrap functions to add functionality and return modified functions, illustrating metaprogramming and higher-order functions where functions are objects bound to names.

Learn how to create higher order functions by passing functions as arguments, with examples of incrementing and discriminating functions, and an operating function that applies them.

Explore higher order functions in Python by returning an inner function and invoking it. See how the returned function prints hello from the inner example.

Discover how Python decorators take in a function, add functionality, and return a new callable that executes the original function.

Learn how a decorator adds functionality to a function in Python by placing the symbol along with the decorator name New Pretty above the function definition, creating a decorated function.

Explore a two-parameter division function and observe that dividing by zero yields a zero division error, illustrating the issue when y equals zero.

Explore decorating functions with parameters using a decorator and an inner function to handle division by zero, returning the wrapped function and illustrating X and Y.