Mojo Programming for Beginners: From Fundamental to Advanced

Learn to write your first Mojo program directly in the Mojo Playground without installation, using the Jupyter Lab interface to create a project, write hello world, and run the cell.

Install Mojo on Windows using WSL, Ubuntu 22.04, and modular CLI. Set up Mojo REPL, add Mojo to the path, configure VSCode integration, and run a hello world Mojo program.

Install mojo on Windows WSL via Ubuntu and Modular CLI, create a Python 3.11 virtual environment, and run a Mojo program in VS Code with the Mojo extension.

Install Docker Desktop on Windows, enable the Windows Subsystem for Linux (WSL), restart the PC, and verify the Docker Engine with basic Docker commands.

Install Mojo inside a Docker container by building a Mojo SDK Dockerfile on Ubuntu 20.04, installing Miniconda, conda, and pip packages, then launching Jupyter Lab.

Learn the updated Mojo installation in Docker: build the updated Mojo image, run a container with port forwarding, install Mojo via modular CLI, and verify with Mojo REPL.

Mojo introduces a Python object that lets Mojo run Python code, access Python libraries, and exchange data with Python, while explaining stack and heap and Mojo's optimization to reduce allocations.

Explore the Cimd SIMD data type in Mojo, packing eight-bit numbers into 32-bit vectors to apply a single operation across all elements, with compile-time parameters and runtime values.

Discover how the int data type in mojo represents whole numbers, supports arithmetic and comparisons, and is immutable after creation, with int8 to int64 variants.

Explore the float data type in Mojo, representing real numbers with fractional parts using float 16/32/64, declaring immutable variables, performing arithmetic and comparisons, and understanding precision limits and rounding errors.

Learn the Mojo bool data type representing true or false, driving conditional statements, declare booleans with var or let to check user login and control output.

Explore strings in mojo, including string definitions, string literals, and string references; learn to declare, store text, concatenate, measure length, and understand string immutability.

Explore string slicing in Mojo, using start, end, and step indices with print and tuple-based examples to extract and print substrings.

Explore Mojo list literals to declare fixed-length lists of strings, numbers, and mixed types, using explicit type declarations. Access elements with list.get by index and print results.

Explore tuples as ordered collections that store multiple items of various types in Mojo, using pythonic syntax and tuple dot get for indexed access, while noting print limitations.

Learn how dynamic vector serves as a generic container that holds a single data type, with examples of appending integers, floats, strings, and booleans, and how inline fixed vectors work.

Learn how conditional statements drive decision making in mojo programming, using if, elif, and else to select true or false code paths based on conditions.

Demonstrate for and while loops with range-based sequences, printing iteration numbers, and using continue to skip, and break to exit, plus examples of counting and step customization.

Mojo supports two function types, def and fn, interchangeable for the caller but differing in internal strictness, with def offering flexibility and fn enforcing type and memory safety.

Define a Mojo struct to group related data and functions, create an animal example with age, species, and sound, initialize with a constructor, and use self to print properties.

Explore how inout, borrowed, and owned affect mutability and ownership of function arguments, showing when values mutate inside and whether changes affect outside values.

Explore the add register underscore possible decorator in Mojo to pass tiny data types by value via machine registers, with static init and copy init methods and no inout self.

Demonstrate how the @unroll decorator unrolls loops in Mojo, turning for and while iterations into consecutive or parallel calls, with an unroll factor to control group size.

Learn how the always_inline decorator forces the Mojo compiler to inline a function at the call site, reducing call overhead at the cost of larger binary size.

Use the @parameter decorator to evaluate if conditions at compile time, shrinking the binary by discarding unused branches. See closures capturing outer values and nested functions passing parameters in Mojo programming.

Learn how to apply the non-capturing decorator to inner functions that do not capture outer scope, preventing capturing-related errors and keeping function signatures clear.

Mojo 0.6 introduces traits for method prototypes implemented by structs, enabling generic functions for types that conform to a trait. The lecture covers updating from 0.5 to 0.6.

Explore Mojo traits, a contract of behaviors that types implement, illustrated by duck and stealth cow implementing quack. See how functions accept the trait and call quack at runtime.

Explore trait inheritance in Mojo programming by defining an animal trait with Makesound and a bird trait with fly, then compose a pet trait combining animal and Getname for behavior.

Learn to define default constructible and movable traits and compose them into a mass producible type, implementing default and move init constructors and a factory function.

Master mojo's built-in traits, such as sized for length and string label for print, and apply move init with in-out self and ownership, plus int trait for conversion.