Python vs Mojo: A Syntax Comparison
Mojo is gaining attention as a new language designed to combine Python’s simplicity with C-level performance. If you’re familiar with Python, you’ll find many similarities in Mojo — but also some key differences. In this article, we compare Python and Mojo syntax side-by-side to help you transition smoothly.
1. Variable Declaration
| Python | Mojo |
|---|---|
x = 10 name = "Alice" | let x = 10 let name: String = "Alice" |
Note: Mojo uses let or const and supports static typing.
2. Function Definition
| Python | Mojo |
|---|---|
def add(a, b): return a + b | fn add(a: Int, b: Int) -> Int: return a + b |
Difference: Mojo requires type annotations and uses fn instead of def.
3. Data Types
- Python: Dynamic types like
int,float,str,bool - Mojo: Statically typed system with
Int8,Int32,Float64,String
Python is dynamically typed by default, while Mojo emphasizes performance with static types.
4. Arithmetic Operators
Both Python and Mojo share the same common operators:
+,-,*,/,//,%,**
No significant differences here — arithmetic expressions work the same in both.
5. Control Flow
| Python | Mojo |
|---|---|
if x > 0: print("Positive") | if x > 0: print("Positive") |
Control structures like if, for, and while are nearly identical in syntax.
6. Summary Table
| Feature | Python | Mojo |
|---|---|---|
| Variable Declaration | x = 10 | let x = 10 |
| Functions | def, no type required | fn, type required |
| Typing | Optional | Mandatory |
| Control Flow | Pythonic | Very similar |
| Performance | Flexible | Optimized for speed |
Final Thoughts
Mojo is designed to feel familiar to Python users while offering better performance through strict typing and low-level control. If you already know Python, learning Mojo will be faster — and this comparison should help guide your journey.
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