Beginners Guide Into Python : Become a Master At Python

Build Python object oriented programming skills by creating shape classes, implementing inheritance and polymorphism, and applying encapsulation, with area calculations via get_area and use of super.

Learn object-oriented programming in Python by building bank account, car, and book classes with an __init__ constructor and methods such as deposit, withdraw, start, and display info including balance.

Fix a Python class error by correcting case sensitivity in self pages. Demonstrate creating and inheriting classes with a vehicle base and a car subclass using init and super.

Define an Animal class with __init__ using self and name, create dog, cat, and cow classes with a make_sound method, then loop to print woof, meow, moo.

Explore inheritance in Python by modeling a person, employee, student, and teacher using classes, init methods, super calls, and info methods to demonstrate property sharing.

Learn encapsulation in Python by bundling data and methods into a class, hide internal details, and provide a clean interface, illustrated with person and car examples.

Explore polymorphism in Python by showing how different classes respond to the same method in different ways, with examples like animals making sounds and shapes calculating areas.

Explore functional programming in Python by using higher-order functions, lambda expressions, map, reduce, itertools count, and partial application to transform and compose data.

Develop a simple Python game that demonstrates object oriented programming concepts—inheritance, polymorphism, and encapsulation—through a character and a player class with health, attack, and random damage.

Continue building a python text RPG by creating an enemy class that inherits from character, implementing random damage and take-damage mechanics, and wiring game logic for player name, attack options.

Create a text-based Python game with battles, health, and attack, and apply object oriented programming concepts like inheritance, polymorphism, encapsulation, while debugging syntax and handling invalid choices.

Explore Python metaprogramming concepts such as decorators, metaclasses, and introspection, and implement runtime code modification with practical timing and authentication decorator examples.

Explore Python decorators for metaprogramming, including function decorators with arguments and chaining, and learn how wrappers apply repeated and uppercase transformations to function output.

delve into Python metaclasses, learn how to define a metaclass to create new classes with attributes, and explore advanced examples that track attributes and introduce a new method.

Explore Python metaclasses, including abstract metaclasses and the ABC meta, and implement a plugin metaclass for automatic subclass tracking along with a validation metaclass for attribute checks.

The lecture covers metaclasses in Python, building a validate attribute metaclass and a dynamic class inside a base class, then shows syntax errors and an undefined dynamic metaclass.

Learn to build a meta maze game in python using metaclass-powered dynamic maze generation, while setting up PyCharm and exploring metaprogramming.

Explore metaprogramming by building a maze game using a dynamic metaclass and decorators to modify maze attributes, rows, and symbols.

Explore a Python maze game by updating coordinates for up, down, left, and right with boundary checks, display the maze, and apply metaprogramming concepts using decorators and a dynamic metaclass.

Master the basics of Python syntax, including comments, printing, variables, and multi-line strings, and learn data types like strings, integers, floats, complex numbers, and lists.

Master Python basics by learning string slicing, indexing (including negative indexing), and common string methods like upper, lower, strip, replace, split, and concatenate, plus string formatting with the format method.

Explore Python's escape characters and string methods, including capitalize and upper, and learn how to measure length with len, evaluate booleans, and use if-else logic in basic programs.

Master Python operators, from arithmetic to bitwise, and learn lists by creating, indexing (zero-based), mutating items, and using len and the list constructor.

Master Python list operations by appending, inserting, extending, removing, or popping items, clearing lists, and iterating with for and while loops.

Learn to sort lists in Python, copy lists with the copy method, join lists with the plus operator, print items by index, and explore tuples, which are ordered and immutable.

Learn how to extend tuples by converting to lists, then explore sets’ unordered, unchangeable items and add operations, and finally manage dictionaries with key-value pairs and updates.

Update and manipulate dictionaries in Python by adding, updating, and removing items with pop and pop item, then master if else, ternary operators, and while loops with break.

Learn to define Python functions with def, use parameters and arguments, default values, and return results; pass for empty bodies, recursion, and lambda for simple one-expression functions.

Explore Python's object oriented programming with classes and objects, using init and self to assign attributes, define methods, and leverage lambda as anonymous functions with lists.

Explore Python polymorphism by using the same method across diverse objects and classes, as shown with car, boat, and plane move methods; learn inheritance and method overriding in vehicles.

Master Python polymorphism with vehicle class examples and scope concepts, illustrating inheritance, move methods, and local versus global variables and the global keyword.

Explore Python scopes, including local and global variables, and how to modify globals with the global keyword. Learn to create and import modules and use built-in libraries like platform.

Explore Python's built-in modules and import techniques, using dir to list functions and from import to access objects, plus datetime for dates and math for min, max, abs, and pow.

Master Python's math module to compute square roots, round numbers with floor, and use pi; then learn json parsing and generation with loads and dumps.

Explore Python regex basics with findall and search, learn meta characters and pattern matching, then cover pip, packages, modules, and handling errors with try/except and finally, and accepting user input.

Learn how to handle user input and format strings in python, and explore numpy for arrays, linear algebra, Fourier transform, and matrices.

Explore the singleton pattern in Python through concrete examples like a bookshelf, a mysterious key, and a vanilla ice cream, showing how a single shared instance is reused.

Implement the singleton pattern in Python by building an ice cream factory with vanilla and chocolate flavors and a magical counter using a get instance method, increment, and get count.

Explore the Python factory design pattern and see how a factory class creates objects of different types with examples like car and animal factories.

Learn Python factory design patterns by creating circle and rectangle shapes, calculating areas, and using a shape factory to handle defaults and a person factory for objects.

Explore Python concurrency and parallelism through multi-threading, multiprocessing, and asynchronous programming, including threading locks, shared counters, and async http requests for API data fetching.