Intermediate Python Immersive Training | Boost your career

Learn how local scope confines variables to the function, with a practical example where a variable inside a function prints 200, but accessing it outside raises an error.

Explore how a local variable inside a function is accessible from a nested function, demonstrated by printing Goldex (200) from an inner function using a Python standard library call.

Understand how the global scope makes variables accessible from any scope. See a practical example where a global variable X set to 100 is used inside and outside a function.

Explore how Python treats the same variable name inside and outside a function, creating separate local and global variables in their scopes, so global values remain unchanged after function calls.

Understand Python scope and how the global keyword makes a variable global, letting it be used outside a function and changing its output.

Explore how to use the Python format method to insert variables with placeholders, control dynamic values, and display a formatted string, illustrated with number and message examples.

Format numbers to two decimals using the format function and the format method, placing the value inside the decorative braces (placeholder) to display 25 as 25.00 in the terminal.

Learn to use the format function to display any number of variables with placeholders, formatting quantity, item number, and price to two decimals.

Learn to use index numbers with Python's format function to control placeholder order, repeat values, and print variables in the desired positions.

Learn to use Python's format function with named indexes, passing values by name to fill placeholders and generate precise, labeled outputs.

Discover how to build a Python generator function using yield, create an iterator, and fetch values with next while handling stop iteration.

Explore the difference between yield and return in Python generator functions, showing how yield preserves state and returns values while return terminates execution, with practical examples.

Discover how to use a generator function with a for loop to iterate a range of numbers and retrieve values with next, stopping at stop iteration when the sequence ends.

Learn how to build a generator function that yields the square of numbers from 0 to 6. Iterate with next and handle StopIteration to print seven squares.

Explore Python generators and stop iteration handling by using for loops to traverse a generator, producing numbers like squares from 0 to 6, with dynamic, on-demand item generation for efficiency.

Explore generator expressions as a concise way to create simple generators in Python. See how next yields numbers 0 through 6 and stops at the end with stop iteration.

Pass a generator expression into a function using a Python standard library built-in, and print the sum of squares from zero to six to demonstrate the concept.

Import the regular expressions module in Python and learn how to use search patterns to test strings against a pattern.

Discover how to import and use python's regular expressions to search strings, and verify that text starts with you and ends with python through a simple conditional.

Explore Python regular expressions through the re module, learning search, match, findall, split, and replace, plus meta characters, sets, and special sequences.

Discover how the findall function with the regular expression module returns non-overlapping matches in a string as a list, with groups yielding tuples and empty matches included.

Explore how to use the Python regular expression module's search function to locate the first whitespace in a string, returning a match object or none, with practical examples.

Learn how Python uses None to indicate no matches in a search. Inspect how the program signals the absence of results in its output.

Learn to split a string at every whitespace character using the regex split function, and see how capturing groups affect the output, with examples showing lists of words.

Learn to control how many times a string splits using the split function's maxsplit parameter, with an optional separator, and see how maxsplit=1 or 2 isolates the first parts.

Explore how to replace every whitespace character with a dollar sign using Python's regex module, focusing on leftmost non-overlapping matches and the count parameter to limit replacements.

Learn how a match object stores a search result, including the start and end positions of the found substring. If no match exists, a nonmatch value returns instead.

Explore the spend method and how a regular expression finds words that start with an uppercase letter, and returns their start positions such as zero and four.

Learn how the string property returns the input string and works with match and search functions, using an example of a word beginning with a capital P.

Use the group method with a regular expression to find words that start with an uppercase letter and print the matching word, such as Python.

Explore built-in and standard library modules in Python, learn how the interpreter loads them, and use help('modules') to list available modules for import in your programs.

Learn how to use Python's os module to create and change directories, import the module, and interact with the file system using portable, OS-dependent functionality.

Explore how to use the os module to get the current working directory with getcwd, verify changes, remove directories with rmdir, and list directory contents with listdir.

Explore the sys module of the Python standard library, learn how to import it, and inspect attributes like maxsize, path, and version to understand the interpreter.

Explore the Python math module, including import math, pi and e constants, trigonometric functions, radians and degrees conversions, logarithms, powers, square roots, and ceiling and floor operations.

Explore the Python statistics module, which provides functions for numeric data analysis. Import statistics to compute the mean, median, and mode, and explore additional functions in the official documentation.

Explore the collections module in the Python standard library. Learn how namedtuple provides objects with named fields accessible by name or index.

Explore the collections module and the order dict function, which remembers the order of keys as they are first inserted, and use items to display all key-value pairs.

Explore the collections deque in Python, learn how to appendleft and append, and use pop and popleft to efficiently manage items at either end of a list, avoiding costly shifts.

Explore the Python standard library by using the random module's functions, including random, the range function, and choice, and learn how to import random to generate numbers and select items.

Create a Python package as a folder containing modules, organize files into subfolders, and add modules such as greeting.py and a math module with arithmetic functions.

Import a module from a new package and use power, some, and average from the new functions module, showing three to the power of three equals twenty seven.

Learn Python packaging by creating a package with __init__.py, importing all functions from modules, and accessing them via the package name for the greeting and power calculations.

Install a Python package globally for system-wide use by creating a setup file and calling the setup function from the tools module with dependencies and disabling compressed mode.