
Discover why Python is a fast growing language and start from setup to core concepts like variables, functions, and object oriented programming, then build real world apps.
Introduce yourself in the q and a section to share where you are from and why you enrolled in this course, helping the instructor tailor a great learning experience.
Download the latest Python installer for your platform and run the executable to install Python. Choose default or customize, then adjust the environment variables to complete setup.
Install the Python extension by Microsoft in Visual Studio Code to enable debugging, code formatting, and inline suggestions; reload to complete setup with video examples.
Create the first Python program that prints a message like Hello world. Define a message variable with 'Hello world' and run the file in the terminal to display it.
Define variables as named spaces in memory to store values such as hello world, a number, and a character; print them and see how updates reflect in memory references.
Explore variables and operations in Python by performing arithmetic on numbers and concatenating strings, then diagnose type errors when mixing strings and integers and learn printing results.
Identify integer, float, and complex numbers in Python, showing how a decimal point makes a float and how J denotes the imaginary part, and use type() to verify.
Learn how casting changes data types in Python by converting strings to integers and floats, and vice versa, to perform operations like addition without errors.
Explore strings in Python by treating them as arrays of characters, indexing from zero, slicing substrings, measuring length, trimming spaces, and converting case, replacing, and splitting to create arrays.
Learn how to capture user input in Python by prompting for a name, storing the input in a variable, and printing a greeting.
Create a calculator by prompting for two numbers, convert inputs to integers, perform add, subtract, multiply, divide, and modulo, and display a formatted result like 5 + 8 = 13.
Explore advanced operators in Python, including exponential, flawed division, plus equal, and times equal; learn how to update variables and use comments to document code.
Learn how Python uses comparison operators and logical operators to create boolean conditions. Combine expressions with and, or, and not to evaluate true or false outcomes in conditionals.
Learn how if conditions control which code runs by evaluating true or false, with examples like comparing numbers and printing results, and how to handle multiple statements and errors.
Explore the elif and else if flow in Python by examining if-elif-else chains and their indentation rules. See how the first true condition executes and how mis-indentation triggers errors.
Learn how the else branch works in Python conditionals: else executes when all prior conditions fail, with proper placement under if/elif to avoid errors.
Practice implementing conditional logic in Python by building a number sign tester that reads input, converts it to an integer, and prints whether it is negative, zero, or positive.
Explore how Python lists store multiple values, access elements by index (0, 1, 2), and update items like replacing Google with Microsoft, while noting index out of range errors.
Discover how tuples in Python are like lists but immutable, with fixed elements you cannot reassign. Create with parentheses, access by index, duplicate values allowed, and compare to lists.
Explore sets in Python, an unordered collection of unique elements. Learn to add with add or update, check size with len, and remove with remove or discard.
Learn how to manipulate Python lists by checking membership, getting length, and using append, insert, remove, delete by index, and clear operations.
Explore tuple operations in Python 3 for beginners, including indexing elements, measuring length with len, deleting a tuple item, and finding an element's index.
Explore Python set operations, learning union, intersection, and difference on sets like my set and another, and discover subset and disjoint checks for basic set theory in code.
Learn how to use Python for loop to iterate over lists and strings, print each element or character, and understand loop variables and scope with practical examples.
Learn to use the range function in Python to iterate numbers with optional start, end, and step in for loops, with examples from 0 to 5 and 10 to 40.
Understand how the while loop differs from the for loop: it iterates while a condition is true, updating i each cycle and stopping when the condition fails.
Explore how break and continue control Python loops, using while and for loops to exit early or skip iterations with real examples like Apple, Google, Amazon, and Netflix.
Master Python dictionaries by defining them with curly braces, accessing items via keys, using get, iterating with items, values, and keys, and adding, updating, or deleting entries.
Learn how to write to a file and append to an existing file in Python by opening with appropriate modes, including write, append, and create, and understand file existence behavior.
Learn to read files in Python using read, read line, and line-by-line loops, print contents, and selectively read the first four characters.
Learn to delete files and directories in Python by importing the os module, checking with os.path.exists, and removing with os.remove, with user feedback when a file does not exist.
Learn how to use try, except, and finally in Python to handle file errors, differentiate errors like file exists and name errors, and ensure files close properly.
Define a function using the def keyword, name, and parameters, then call it with arguments and print the result; explore default values and required arguments.
Define a function that returns a value and call it to see outputs like 10 and 50 when x is 5, and return 0 or 1 when x is zero.
Discover how functions boost array usability, enable code reuse by defining once and invoking repeatedly, and simplify abstraction by using functions without exposing internal details.
Learn recursion with a factorial example in Python, using a base case of n equals 1 and a recursive call to compute n times factorial(n-1) step by step.
Set breakpoints and step through code to visualize recursion, inspect variables, and follow factorial calls from base case to the final result.
Discover how to use modules as libraries in Python by importing files, aliasing with as, and calling functions like factorial, and use the platform module to identify your operating system.
Explore importing Python modules by selecting specific functions and variables, using from module import function, and accessing variables like x to call factorial and compute values.
Learn to verify your pip installation, install packages with pip, and import and use the camel case package in Python projects.
Explore object-oriented programming basics by defining objects, attributes, methods, and classes, and understand how instances manage state with real-world examples.
Explore object oriented programming in Python, focusing on class-based systems where objects are instances with attributes and methods.
Learn to create a class with attributes and methods, instantiate objects, and change an instance attribute to see that other instances remain unaffected.
Define a point class with x and y coordinates and a move_point method using self to update them, then create and use a point instance to change coordinates.
Learn how constructors initialize new class instances with default or provided x and y values, and how to delete an object's property and inspect its type.
Discover how inheritance links classes, with a parent supplying attributes and methods to children under the is-a rule, and how methods resolve up the class chain.
Explore inheritance in python by defining an animal base class and a dog subclass, using super to initialize name and age, and adding an owner attribute.
Explains the privacy of attributes and methods in Python by defining private and protected attributes, showing how to use getters and setters, and illustrating access restrictions across modules.
Define and use iterators in Python to traverse lists, strings, a dictionary, sets, and tuples with next, handling StopIteration. Build custom iterators using __iter__ and next.
Do you want to learn Python 3?
You have come to the right place, welcome to the Python 3 for beginners course,
where you will learn how to create real-world Python applications from scratch
Why should you learn Python?
Python is one of the fastest-growing programming languages on the planet.
Even compared to other popular languages. Python is way ahead.
It is also projected to be one of the most popular programming languages way into the future
It doesn't matter whether you want to focus on Web applications, Games, Machine learning or Data Science, Python is used everywhere.
Who is this course for?
Beginners with no experience with python 3
Programmers with experience in other programming languages
Anyone who knows the basics of python but wants to learn more in-depth
Anyone who wants to start with programming
What you can find inside the course?
How to install Python 3
How to install Visual Studio Code
Variables
Operations with Variables
Casting
Code Branching (if, else if, else)
Python Data Structures (Lists, Tuples, Sets, Dictionaries)
Loops (for, while)
Break & continue statements
Work with files (create, open, write, append)
Exception Handling
Functions
Recursive Functions
How to debug applications
Modules and PIP
Object-Oriented Programming
Inheritance
Protection
Iterators
Simple Algorithms (for improvement of problem-solving skills)
TkInter GUI
Frames, Buttons, Entry, Grid, Menu, Canvas, Rectangles, Lines, Oval...
You will also create real-world graphical applications:
TODO list
text editor
graphical editor
We have over 80 high-quality video lectures
combined with articles and quizzes.
So that you can test your python skills.
If you don't understand something or if you need help with something. You can always reach out to me. Mostly I respond within a day.
At the end of this course, you will get a certificate of completion.
That you can put on your resume or on your LinkedIn profile.
The course comes with an amazing 30-day money-back guarantee
So you can try the course, risk-free.
So do you want to learn Python 3?
Enroll today and I will see you in the course