Free Course Image Python Ultimate Course: Learn Python from Scratch

Free online coursePython Ultimate Course: Learn Python from Scratch

Duration of the online course: 12 hours and 31 minutes

New

Build real Python skills from scratch in a free online course: set up your tools, code clean programs, master data types, loops, and functions.

In this free course, learn about

  • What Python is, how it runs, and a roadmap for learning it effectively
  • Install Python + VS Code; enable terminal use via Add Python to PATH option
  • Write and use comments; understand that # makes the rest of the line ignored
  • Use print(), escape sequences like \n, and input() to capture user text
  • Core data types and conversions (e.g., str+int issues) and why types matter
  • Work with numbers: numeric types, math functions, and rounding behavior
  • Control flow fundamentals: booleans, comparisons, logical ops, membership, identity
  • Use if/elif/else, ternary expressions, and match-case for branching logic
  • Loop patterns: for/while, break/continue/pass, for-else, and nested loops
  • Choose and use data structures: list, tuple, set, dict; when each is best
  • List mastery: create, index/slice, unpack *, add/remove/update, sort, copy deep
  • Combine/transform sequences: zip(), iterables vs iterators, map/filter/enumerate
  • Write lambdas and list comprehensions to transform and filter data cleanly
  • Build functions with params/args, scope rules, defaults, *args/**kwargs, return vs print

Course Description

Python is one of the fastest ways to go from I want to learn programming to actually building working solutions. This free online course is designed for true beginners, guiding you from your first interaction with the language to writing structured code you can understand, debug, and improve. Instead of throwing jargon at you, it focuses on clear explanations and practical reasoning so you can see why Python behaves the way it does and how to think like a developer.

You will start by setting up a clean environment with Python and a professional editor, so you can run code confidently from the terminal and develop good habits from day one. From there, you will practice the essential building blocks that make programs run: comments for readable code, printing output, receiving input, working with variables, and choosing the right data type for the job. As you progress, you will learn how to manipulate text and numbers effectively, avoid common type mistakes, and build logic that mirrors real decisions in software.

A major turning point in learning Python is control flow, and this course helps you become comfortable with conditions, comparisons, boolean logic, and the tools Python provides for clear, readable decision-making. You will also build fluency with iteration, understanding when to use for and while loops, how to manage loop behavior, and how to reason about nested loops without getting lost. These skills transfer directly to everyday tasks like processing records, validating inputs, and automating repetitive work.

To write Python that scales beyond toy examples, you will work deeply with core data structures. You will learn how to create, access, update, sort, copy, and combine collections, and you will gain intuition for when to choose lists, tuples, sets, or dictionaries. You will also be introduced to Python’s functional-style tools such as map, filter, enumerate, lambdas, and list comprehensions, helping you write cleaner and more expressive code.

Finally, you will tie everything together with functions, learning how to design reusable logic with parameters, arguments, defaults, local and global scope, and flexible calling patterns. By understanding return values versus printing, you will be able to build programs that grow in complexity while staying organized. If you want a practical foundation for software development, automation, or data-focused paths, this course gives you the confidence to keep building with Python.

Course content

  • Video class: What is Python (Visually Explained) | How It Works and How to Learn It | #Python Course 1 10m
  • Video class: How to Install Python and VS Code BONUS Roadmap! (Step-by-Step) | #Python Course 2 14m
  • Exercise: During Python installation, which option should you check to make running Python from the terminal easier?
  • Video class: Python Comments: Visually Explained | #Python Course 3 05m
  • Exercise: In Python, what happens to the text after the # symbol on a line of code?
  • Video class: Python Print Function: Visually Explained | #Python Course 4 21m
  • Exercise: Which escape sequence adds a new line in Python output when used inside print?
  • Video class: Python Variables: Visually Explained | #Python Course 5 13m
  • Exercise: In Python, what does the statement x = 2 do if x was previously set to 1?
  • Video class: Python Input Function: Visually Explained | #Python Course 6 09m
  • Exercise: What happens when Python executes input("Enter a value")?
  • Video class: Python Data Types: Visually Explained | #Python Course 7 30m
  • Exercise: What is the main purpose of data types in Python?
  • Video class: Python String Functions Explained | Text Manipulation 1h14m
  • Exercise: Which option correctly explains why the expression "Your age is: " + age can raise an error, and how to fix it?
  • Video class: Python Numbers Mastery | Math Functions, Round 28m
  • Exercise: Which statement correctly describes how Python handles numeric types and advanced math functions?
  • Video class: Python Control Flow: Visually Explained | #Python Course 10 07m
  • Exercise: What is the main purpose of control flow in Python?
  • Video class: Python Boolean Functions | bool, all, any, isinstance | #Python Course 11 08m
  • Exercise: Which built-in function returns True if at least one value in an iterable is truthy?
  • Video class: Python Comparison Operators (Visually Explained) | #Python Course 12 07m
  • Exercise: Which Python expression correctly checks whether age is between 18 and 30 (inclusive) using chained comparison?
  • Video class: Python Logical Operators (Visually Explained) | and, or, not, Execution Order | #Python Course 13 17m
  • Exercise: In Python, how can you ensure that the expression (is_logged_in or is_guest) is evaluated before checking that the user is not banned?
  • Video class: Python Membership 12m
  • Exercise: What does the Python identity operator is compare?
  • Video class: Python If Elif Else Statements (Visually Explained) | #Python Course 15 51m
  • Exercise: In Python, what does an if/elif/else chain do after it executes the first True condition?
  • Video class: Python If-Else One Line and Match-Case (Visually Explained) | #Python Course 16 14m
  • Exercise: Which statement about Python inline if (ternary) expressions is correct?
  • Video class: Python For Loops (Visually Explained) | #Python Course 17 23m
  • Exercise: In Python, what is the main purpose of a for loop?
  • Video class: Python Break vs Continue vs Pass (Visually Explained) | Control Statements | #Python Course 18 20m
  • Exercise: What is the main effect of using the Python break statement inside a loop?
  • Video class: Python For-Else Loop (Visually Explained) | Hidden Control Flow Trick | #Python Course 19 17m
  • Exercise: When does the else block of a for loop execute in Python?
  • Video class: Python Nested Loops are Easy | A Must-Have Skill for Data Engineers | #Python Course 20 16m
  • Exercise: In a nested for loop, when does Python move to the next iteration of the outer loop?
  • Video class: Python While Loops (Visually Explained) | For vs While Loops | #Python Course 21 28m
  • Exercise: What is the main advantage of using a while loop instead of a for loop in Python?
  • Video class: Introduction to Data Structures in Python (Visually Explained) | #Python Course 22 10m
  • Exercise: Which built-in Python data structure is described as an ordered and very flexible collection that can contain duplicates?
  • Video class: How to Create a List in Python (Visually Explained) | #Python Course 23 12m
  • Exercise: What happens when you pass a string into the built-in list() function in Python?
  • Video class: How to Access Lists in Python (Indexing 16m
  • Video class: Python Unpacking (Visually Explained) | Asterisk * and Underscore _ | #Python Course 25 17m
  • Exercise: In Python list unpacking, what does the asterisk (*) do when used in an assignment like: name, *details, country = person?
  • Video class: How to Explore 14m
  • Exercise: Which Python check returns True only when two list variables refer to the same object in memory (same identity)?
  • Video class: How to Add, Remove, and Update Lists in Python (Visually Explained) | #Python Course 27 23m
  • Exercise: Which method should you use to add a new item to the end of a Python list?
  • Video class: How to Order Lists in Python (Visually Explained) | sort(), sorted(), reverse() | #Python Course 28 10m
  • Exercise: Which approach creates a sorted copy of a list without changing the original list?
  • Video class: How to Copy Python Lists Safely (Visually Explained) | Shallow Copy vs Deepcopy | #Python Course 29 17m
  • Exercise: When copying a nested list (matrix) in Python, which approach creates a fully independent copy at all levels?
  • Video class: How to Combine Lists in Python | 4 Simple Ways and ZIP Visually Explained | #Python Course 30 10m
  • Exercise: What is the main purpose of Python’s zip() when combining multiple sequences?
  • Video class: Python Iterator vs Iterable (Visually Explained) | enumerate, map, filter | #Python Course 31 23m
  • Exercise: Which statement best describes what Python’s built-in map() returns when applied to a list?
  • Video class: Python Lambda Functions (Visually Explained) | #Python Course 32 15m
  • Exercise: What is a common use of lambda with map when transforming a list of prices like ["$12.50", "$9.99"] into numeric values?
  • Video class: Python List Comprehension (Visually Explained) | The Cleanest Way to Code | #Python Course 33 09m
  • Exercise: Which structure correctly represents a Python list comprehension that transforms items and filters them?
  • Video class: 30 Python List Operations in 5 Minutes | #Python Course 34 06m
  • Exercise: In Python lists, what is the key difference between indexing and slicing?
  • Video class: Python Tuples (Visually Explained) | #Python Course 35 08m
  • Exercise: Which Python data structure is best for storing values that must not change after creation (e.g., database server settings)?
  • Video class: Python Sets (Visually Explained) | #Python Course 36 18m
  • Exercise: Which set operation returns only the values that appear in both sets?
  • Video class: Python Dictionaries (Visually Explained) | #Python Course 37 27m
  • Exercise: Which statement best describes how a Python dictionary stores data?
  • Video class: Python Data Structures: When to Use List, Tuple, Set, Dict | #Python Course 38 03m
  • Exercise: Which data structure is best when data must be protected and not changed after creation?
  • Video class: Python Functions Made Simple (Visual Explanation) | #Python Course 39 18m
  • Exercise: What is the main benefit of using functions instead of copying and pasting the same logic multiple times?
  • Video class: Python Parameters vs Arguments (Explained Visually) | #Python Course 40 10m
  • Exercise: In Python functions, what is the correct relationship between parameters and arguments?
  • Video class: Python Parameters vs Global vs Local Variables (Visual Explanation) | #Python Course 41 10m
  • Exercise: Which statement correctly describes how global, local variables, and parameters behave in Python functions?
  • Video class: Python Positional vs Keyword Arguments Explained | Default Parameters | #Python Course 42 12m
  • Exercise: When mixing positional and keyword arguments in a Python function call, which rule must be followed?
  • Video class: Python *Args and **Kwargs Finally Make Sense | #Python Course 43 08m
  • Exercise: In Python functions, what is the main difference between *args and **kwargs?
  • Video class: Python Return Vs Print() (Visual Explanation) | #Python Course 44 11m
  • Exercise: In Python, what should you use if you want a function result to be reused later in the program?

This free course includes:

12 hours and 31 minutes of online video course

Digital certificate of course completion (Free)

Exercises to train your knowledge

100% free, from content to certificate

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