Job -Ready Python for Work & Automation

Learn to open, read, write, and append files using the with statement, with clear syntax and practical examples, and a PDF that organizes the steps.

Explore dictionaries as key-value data structures, define and access items, update values, and remove entries using Python syntax with curly brackets, and practice keys, values, and items.

Learn how to add and remove items in Python dictionaries by assigning new keys, updating existing ones, and using pop, delete, popitem, update, and clear operations.

Learn to loop through dictionaries in Python by iterating over keys by default; use keys(), values(), and items() to access keys, values, or both, and print them as strings.

Learn lists and tuples in Python by defining, creating, and accessing them, and using common methods like append and remove. Understand mutability, indexing, and how they store mixed data types.

Explore how to access and manipulate Python lists with indexing and slicing, including negative indexing, and master common methods like append, insert, remove, pop, index, count, sort, reverse, and clear.

Learn how to access and slice tuples in Python, understand immutability, and use count and len, plus convert tuples to lists to modify data.

Learn to loop through lists and tuples in Python using for and while loops. Access elements by index and print each item with examples like fruits and colors.

Learn the fundamentals of object oriented programming in Python, including classes, objects, attributes and methods, encapsulation, inheritance, and polymorphism, with constructors, self, and practical class examples.

Explore inheritance, polymorphism, and encapsulation in Python through real-world class examples like animal, dog, and cat, showcasing method overriding, private variables, and controlled access.

Explore public, protected, and private data members in Python. Learn how public uses no underscore, protected uses a single underscore, and private uses double underscores with name mangling.

Learn how two leading underscores trigger Python's name mangling, turning private members into a mangled name and revealing it with dir() for outside access.

Explore beginner friendly explanations of functions, including def, parameters and return values, the difference between parameters and arguments, local and global scope, lambda, modules, and try and except error handling.

Explore local and global scope in Python, including how variables defined inside functions stay local, how globals remain accessible, and how lambda and shadowing affect visibility.

Learn how to organize Python code with modules and packages, import and call functions from built-in and third-party modules, and handle errors with try and except.

Master Python teaches for loops and the range function, showing how to iterate over sequences, use break and continue, and indentation in Python, with beginner friendly explanations of while loops.

Explore break and continue in Python loops, for loops and while loops, with practical examples and cautions about infinite loops.

Explore Python control flow with indentation and nested conditions. Learn comparison operators (equal, not equal, greater, less) and logical operators (and, or, not) with booleans.

Master Python control flow with if, elif, and else to run code based on conditions. Understand indentation with tabs or four spaces and practice with examples.

Master Python indentation as a core syntax element, learn how spaces and tabs define blocks, and see how correct indentation governs if, else, and nested conditions with examples.

Explore Python's common subjects, including escape character, the order of operations, unary operations, casting, and polymorphism, with practical explanations and an upcoming practice exercise.

Explore polymorphism in Python as the plus operator behaves differently with ints, floats, and strings, including concatenation. Learn casting between int, float, string, and bool, plus using len.

Explore arithmetic, comparison, and logical operators in Python, including addition, subtraction, multiplication, division, modulo, floor division, and exponentiation; compare values with equal, not equal, greater, and less, using and, or, not.

Master Python explains built-in and user-defined functions, and demonstrates print usage with parameters and arguments, distinguishing strings and numbers, using quotes, and applying the end keyword argument.

Learn how variables store values in Python, including string, integer, float, double/long, and boolean types, and follow naming rules like starting with a letter or underscore and avoiding keywords.

Learn Python data types and type conversion using real examples of converting strings to integers and back, handling plus operations with int() and str(), and validating input with type checks.