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Mojo ðŸ”¥ 

The programming 

language for all AI developers.

 

Mojo combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of  AI Models .

Chris Lattner and Tim Davis met at Google and felt AI was being held back by overly complex and fragmented infrastructure. Motivated by a desire to accelerate the impact of AI on the world by lifting the industry towards production-quality AI software, they founded Modular.

Get The Mojo SDK

https://docs.modular.com/mojo/manual/get-started/#get-the-mojo-sdk

Modular Mojo PlayGround

https://docs.modular.com/mojo/manual/get-started/#get-the-mojo-sdk

Disclaimer


Denritch primary intention in providing code samples for the Mojo programming language is to assist and guide users, especially during their initial stages of development. 

Our goal is to foster growth and support within the Mojo programming community until it becomes self-sustaining and robust. We want to emphasize that Denritch has no commercial interests in this endeavor.  

Please note: The code samples provided by Denritch are shared without any guarantees or warranties of any kind. Users are advised to exercise discretion and conduct thorough testing before integrating these samples into their projects.  Additionally, Denritch is not affiliated with or endorsed by  “Modular.” 

from python import Python
fn main() raises:
# Initializing with a None value
var obj1 = PythonObject()
# Initializing with a String
var obj_string = PythonObject(“Hello from StringLiteral!”)
var str_repr = obj_string.to_string()
print(str_repr)
 
from math import mul
from math import div
 
fn main() raises:
let mult: Float32 = FloatLiteral(0.6) *FloatLiteral(0.91)
let k =mult * mult * mult
let acceleration: Float32 = FloatLiteral(0.16277136) / k
print(“accel”,acceleration)

let multVector1 = SIMD[DType.float32, 1](0.6)
let multVector2 = SIMD[DType.float32, 1](0.91)
let multResult = mul[DType.float32, 1](multVector1, multVector2)
let squareResult = mul[DType.float32, 1](multResult, multResult)
let cubeResult = mul[DType.float32, 1](multResult, squareResult)
let accelerationNumerator = SIMD[DType.float32, 1](0.16277136)
let accelerationVector = div[DType.float32, 1](accelerationNumerator, cubeResult)
print(accelerationVector )