
Master objective oriented programming concepts and advanced topics in bison, including inheritance, encapsulation, polymorphism, and decorators, through two projects and hands-on coding in Jupiter notebook.
learn how to download and install Python IDLE from the official site, then verify the setup by running sample code to ensure the installation is correct.
Explore using an online Jupyter notebook tool setup, search for the online notebook, open the first result, and run a quick demonstration to verify its simplicity for beginners.
Download and install Anaconda on Windows by visiting the official site, selecting Python 3, and completing the setup.
Define and use variables in Python by assigning values with the equals sign, following naming rules—letters, numbers, underscores; note case sensitivity and the built-in functions like print and input.
Explore the types of operators in Python, including assignment operators like x += 5, arithmetic, comparison, modulo, floor division, and exponent operations.
Explore Python numeric data types by distinguishing integers and floats, assigning values to variables, performing arithmetic, and rounding results to two decimals.
Learn how booleans represent true or false in Python and perform basic comparisons with operators. Assign boolean values to variables and print results to see how equality uses double equals.
Define strings as sequences of characters and show assigning them with single or double quotes. Print 'Hello World' and introduce escaping characters and regular expressions in Python's string section.
Explore Python data structures—lists, dictionaries, tables, and sets—emphasizing mutability, zero-based indexing, and basic operations like creating and printing examples.
Explore Python data structures by building dictionaries for student names and ages using key-value pairs. Learn about sets, including frozen sets, and convert between int and float with type checks.
Review data types in Python, including integers, floats, and strings, with variable declarations, single or double quotes, and casting between types.
Demonstrate Python's string.format() to build messages by inserting variables like name and car_color into templates using curly braces, producing Hello, my name is Alexander and my core color is red.
Explore Python's string length function to measure messages and names, with results like 58 and 9, and learn slicing from 0 to 4 to obtain 'Alex'.
Explore how Python's string.count() counts characters and substrings, including index-based ranges and case sensitivity, with examples counting from index five to twelve.
Explore Python string methods startswith and endswith to detect suffixes, verify case sensitivity, and check substrings from specific indices to determine if a string ends with a given suffix.
Explore the string.find function, locating a substring from a given index to the string end, and observe that not-found results return -1, unlike index which raises an error.
Learn how islower and isupper determine string case, and how lower and upper convert cases in Python strings, with examples of lowercase and uppercase results.
Learn to use Python's string methods replace and strip, see how to join strings, and understand how replacement creates a new string while stripping removes leading and trailing characters.
Learn Python string methods: capitalize, swapcase, and title. Capitalize makes the first character uppercase and the rest lowercase; swapcase inverts all letter cases; title capitalizes each word.
Learn how Python's input() captures a user name, handle string escapes, and display results with print using examples like 'Please enter your name' and 'Alex'.
Explore lists in Python by creating lists, indexing and slicing, and applying common operations such as len, max, min, sorted, sum, and pop to manage colors and speeds.
Explore Python tuples using months as examples, practice indexing to access values and using len to count items. Compare tuples with lists and apply practical exercises from the course.
Learn how to use sets in Python, compare fast set operations to lists for large collections, and practice creating sets, checking membership, and analyzing equality.
Master python sets by creating and modifying them with add and pop, which removes a random element, and performing union, intersection, and difference. See numeric and color set examples.
Explore dictionary operations by mapping user names to colors, including adding, updating, and removing entries, printing results, and using get, clear, and update to handle missing keys.
Compare data structures such as lists, sets, and dictionaries, highlighting mutability and uniqueness: lists and dictionaries are mutable, sets enforce uniqueness.
Learn how to implement if statements in Python, using condition tests, elif and else branches, and practical examples like comparing names and routes.
Learn how to use Python for loops to iterate over lists with enumerate, iterate ranges with range, and control flow using break and continue, illustrated by a colors example.
Learn how a while loop runs code while a condition holds, manage counters, and apply continue, with practical examples using lists, zip, and enumerate.
Explore error handling in Python by using try and except to run code and perform alternate actions when errors occur, such as catching name errors.
Discover what a Python function is and how it groups lines of code to perform a task. Define functions with arguments and a return value, then reuse them across code.
Explore the difference between local and global variables and how scope affects data values inside and outside a function.
Learn how to create Python functions that return values, with examples for rectangle area, checking even or odd, and a countdown using loops.
Discover lambda function in Python through a simple example that defines a lambda a: a + 2 and prints its result.
Learn how to work with Python files and modules, import libraries, and reuse functions to check even numbers and print results.
learn how to open files in Python with open, using read and write modes, including binary options, and print lines as you read, closing files afterwards.
Explore a Python color-choices game project walk-through, showing how to implement a five-color, player-vs-computer game, handle inputs, determine win conditions, and restart after rounds.
Create player and computer choices, validate inputs, use color variables and random numbers 1–5, run a nested while loop to determine win, tie, or loss, and offer to play again.
learn to build a color choices game in python using random for the computer, manage player and computer scores, and loop for replay with user input validation.
Explore object oriented programming with Python by defining classes, composition, attributes, and methods. Learn class creation, self, class attributes, instance attributes, and the class body with practical examples.
Learn how the Python constructor initializes class instances, using __init__ to set name and age, and implement methods to compute average age and rectangle area.
Explore object oriented programming with magical dunder methods to customize how objects are created, represented, and how their length is computed.
Explore object oriented programming inheritance by creating a fruits superclass and subclasses, reuse and extend attributes, and override values in a user data and phone number example.
Learn to build a Python hangman game project with word lists, six tries, and drawing stages, using modules for guessing and hangman, plus gameplay demonstrations.
Learn to build a hangman game in Python by importing modules, selecting a random word, tracking guesses, managing tries, and printing win/lose states.
Start a Hangman game project in a Python notebook by importing random and from hangmen_guessing import guess_list, selecting a random word with random.choice, and initializing underscores and six lives.
Complete a hangman game project in python using the random module to select a word, manage underscores, handle guesses in a loop, and display win or loss.
Learn how encapsulation hides internal object details in Python OOP, enabling controlled access through getters and setters and practical class examples showing how to set and get age.
explains multiple inheritance in python by combining fruit and citrus fruit classes. shows initializing multiple bases with super and exposing attributes like season, color, and name.
Explore method overriding in Python's object-oriented programming: a subclass overrides a superclass method and uses super to call the parent, demonstrating which message prints.
Explore advanced object-oriented programming by comparing classmethod and staticmethod decorators, illustrating how class methods access the class state while static methods run without instance or class data.
discover how built-in decorators, especially @property, manage fruit object attributes like name, color, and fruit type; prevent breaking changes when users update name or color.
Build a python game project by implementing a gameboard class, items, decorators, and properties, then create a game class to control play flow and end conditions.
Explore helpful notes for building a Python OOP project with a game board and game controller, outlining classes, methods, and a launcher to start the game.
This project solution demonstrates building a two-player grid game in Python using OOP concepts, with a game board, positions 1–9, win conditions, and restart options.
Here is a 500 word description:
Python is a powerful, elegant, and easy-to-learn programming language that is widely used for data analysis, desktop applications, game programming, and mobile development. Whether you're new to programming or an experienced coder, this course will teach you the basics of Python programming and guide you through the world of object-oriented programming.
In this comprehensive course, we'll cover everything from Python programming basics to advanced topics in object-oriented programming. You'll learn how to install Python, use Python IDEs like PyCharm and Jupyter Notebook, and master Python data types, operators, functions, modules, and file handling. You'll also learn how to create classes, objects, and methods in Python, and explore advanced topics in object-oriented programming like inheritance, encapsulation, polymorphism, and decorators.
With easy-to-follow examples, quizzes, resources, and real-world projects like a Hangman game and X-O Game Classes, you'll be able to master Python programming from zero to hero in no time.
What you will learn in this course:
- Understand the basics of Python programming, including installation and IDEs.
- Master Python data types, operators, functions, modules, and file handling.
- Learn how to create classes, objects, and methods in Python.
- Explore advanced topics in object-oriented programming like inheritance, encapsulation, polymorphism, and decorators.
- Practice with quizzes, resources, and real-world projects like a Hangman game and X-O Game Classes.
This comprehensive course is perfect for both complete beginners and experienced programmers looking to expand their Python skills.
The instructor breaks down complex programming concepts into clear, easy-to-understand lessons using real-world examples and visualization aids. The course curriculum was designed to take you from absolute beginner to advanced Python programmer through hands-on coding exercises.
By the end of the course, you will have built fully-functional Python programs like games, web apps, data analysis scripts, and more. These projects give you the practical experience needed to start applying for Python developer roles or tackling your own projects.
The course is updated frequently to cover the latest features and best practices in Python 3 programming. Over 50,000 students have already enrolled and given this course a 4.5 star average rating.
Learning a new skill requires hands-on practice. This course provides downloadable Python code exercises, mini-projects, and quizzes to test your understanding along the way. With our expert instructor guiding you, mastering Python has never been easier!
If you want to future-proof your career and open up new opportunities as a developer, data analyst, or engineer, Python skills are a must-have. Enroll in this bestselling course today and start your journey to Python mastery!