
Meet Paratilla, a young pirate-in-training joining a Python course to learn lines of code with his parrot. Take his first steps toward becoming a skilled Python developer.
Learn how to use Python comments to document code, comment out lines, and prevent execution, with guidance on when to comment and why not to overdo it.
Explore the two basic numeric types in Python—integers and floats—learn how to check types, cast between them, and understand truncation when converting floats to integers.
Master the python order of arithmetic operations, from parentheses and exponents to multiplication, division, and addition or subtraction, following left-to-right rules. See how parentheses change results and quotients become decimals.
Explore complex numbers as pairs of real and imaginary parts, with the imaginary unit i, and perform addition, subtraction, multiplication, and division on the complex plane.
Explore how Python handles complex numbers, using j for the imaginary unit, and perform real and imaginary extraction, arithmetic operations, conjugates, modulus, and polar and rect conversions with cmath.
Discover how to obtain substrings in Python by indexing with brackets, using 0-based positions, negative indices for end counting, and slice notation with colons for ranges.
Explore string functions, counting characters with length (including spaces) and using zero-based indexing. Convert strings to numbers with int and float, and gather user input with input prompts.
Explore decision operators in Python by using boolean variables to control code flow, including true and false values, boolean algebra, and operations such as negations, conjunctions, and disjunctions.
Explore truth tables for boolean variables, mastering negation, conjunction, and disjunction. See how these unary and binary operators define true and false values in Python and boolean algebra.
Explore how Python implements boolean logic using negation, conjunction, and disjunction, with true and false variables, truth tables, and practical demonstrations.
Explore how Python compares strings using dictionary (alphabetical) order, evaluating characters left to right to decide which word comes first, with examples like Majorca, Madrid, and Dubai.
Determine if a point (x, y) lies in the unit square by verifying x and y are between 0 and 1 inclusive, using float input and clear output.
Explore the while loop to automate tasks by executing a loop body while a condition stays true, including initialization, increment, and handling infinite loops.
Practice the while else pattern by entering numbers (floats) until you input 0, accumulating a running total and displaying the final sum after the loop.
Shift the uppercase alphabet in a circular fashion by N positions using a while loop, with chr and ord converting between characters and ASCII codes.
Learn how the Python range function powers for loops by using start, stop, and step to count up or down, with default values and inclusive/exclusive behavior.
Use a for loop to print a string while skipping a user-specified letter, normalizing to lowercase and using continue to omit matches.
Master essential Python list methods such as count, extend, index, pop, remove, reverse, and sort, and understand how iterable objects like lists and ranges support these operations.
Delete a user-specified item from a list of characters in Python, printing the original and updated lists; handle duplicates by iterating and removing all matching elements.
Learn to compute the product of two user-provided matrices in Python by building A and B, validating dimensions, multiplying with nested loops, and displaying the result.
Learn to sum two user-provided numpy matrices with matching dimensions and print the result using elementwise addition.
Learn to multiply matrices with numpy by taking user-provided matrices and dimensions, constructing A and B, and using the dot method to compute A dot B, with a worked example.
Explore how dictionaries and lists intermix to model heterogeneous data and JSON structures, including dictionaries containing lists and lists of dictionaries, for practical Python data handling.
Discover Python dictionary methods—clear, copy, fromkeys, get, pop, setdefault, and update—with practical examples for missing keys, default values, and merging dictionaries.
Learn how to collect eight digits, form the DNI number, compute modulo 23 to map to a letter via a dictionary, and print the DNI dictionary.
Learn how sets provide an unordered, non-duplicated data structure in Python, constructible from lists, tuples, or braces, and why they are not mutable and ignore order.
Explain core set operations—union, intersection, difference, and symmetric difference—using Python syntax (|, &, -, union, intersection, difference, symmetric_difference) and Venn diagrams to show A and B.
Explore loops and sets in Python, using the for loop to iterate over set elements, noting that sets have no guaranteed order while using the familiar for syntax.
Explore additional set methods in Python, including pop for random extraction and clear to empty a set. Learn why sets have no inherent order.
Solve an exercise that asks the user for four integers to define two intervals, build sets from a to b and c to d, and compute their symmetric difference.
Apply the sieve of Eratosthenes to generate primes from 2 to n, using a set and a boolean list to cross out multiples in Python.
The Pirate Adventure That Has Already Taught Thousands to Code in Udemy — Now in English!
Welcome to our Complete Python 3 Course — From A to Z, the most engaging and practical way to learn one of the most in-demand programming languages in the world.
Whether you’re starting from scratch or looking to master advanced topics, this course is designed to take you step by step into the world of Python programming — no prior experience required!
Why Learn Python?
Python has become an essential tool for Data Scientists, Machine Learning engineers, AI specialists, and Web Developers alike. With the increasing demand for data-driven professionals, learning Python can open doors to high-paying jobs — many Data Scientists earn over $100,000 per year as employees or freelancers.
If you want to become one of them, Python is your best starting point.
What Makes This Course Unique?
We’ve crafted this course to be the most complete Python learning experience on Udemy, while keeping it simple and fun. From beginners who have never written a line of code, to those who want to deepen their understanding of Python — this course is for you!
With over 300 video lessons, 50+ coding challenges, and 50+ hours of content, you’ll gain solid programming skills that you can apply to real-world scenarios.
What you’ll learn includes:
Python 3 from absolute basics to advanced functions
File handling (TXT, CSV, JSON) and working with data
Data structures: lists, dictionaries, sets, tuples
Functions, visibility scopes, arguments, and return values
Object-Oriented Programming (OOP), inheritance, and polymorphism
Exception handling and debugging techniques
Modules: built-in, custom-made, and external libraries
Introduction to Data Science tools like pandas, numpy, math, matplotlib, seaborn, and os
Learn by Playing: The Pyrates Adventure
To make your journey unforgettable, we’ve designed a unique learning experience — The Pyrates Adventure. You’ll join Pyratilla on a quest to become the most feared pirate on the seas.
Manage your ship’s finances, recruit a crew, defeat your enemies — and most importantly, code everything in Python 3!
We guarantee you’ve never learned programming this way before!
Learn Without Installation Hassles
No need to worry about your computer’s performance or software setup. We use Google Colab, a free online platform by Google that lets you write and run Python code directly from your browser — whether you’re on Linux, macOS, or Windows.
Just log in with a free Gmail account and you’re ready to start!
Course Topics at a Glance:
What is Python and why it's so popular for Data Science
Basics of the Bash command line
Running Python code in Google Colab
Data types: integers, floats, strings
Lists, dictionaries, tuples, and sets
Data formatting and printing
Functions and return values
Scope and visibility
Universal functions
Error handling and debugging
Modules and external libraries
Object-Oriented Programming (OOP)
File input/output operations
Advanced Python methods
Data analysis and visualization with pandas, numpy, matplotlib, seaborn
File handling with csv and os modules
What You’ll Get
Lifetime access to over 300 lessons
Downloadable notebooks for each class
Quizzes, coding challenges, and a mega final project
Practical examples for real-world scenarios
A fun and engaging learning experience
Access from any device, anytime, anywhere
30-Day Money-Back Guarantee
Still unsure? Try it risk-free with Udemy’s 30-day money-back guarantee. If you're not satisfied, you’ll get a full refund — and you can keep the notebooks as a thank-you for trying the course.
What Are You Waiting For?
Learn Python in the most fun and effective way. Improve your career prospects and join thousands of students who have already started their programming journey.
Enroll now and become a Python developer from A to Z!