Oxidising Python

with

Rust

"whoami"

Game Developer

Rust Evangelist

JS Zealot

C++ Hater

 

Programmer

Python Fan

Web Technologies Radical

Why is Python not enough?

Performance!

Python is an interpreted language which also means it has a heavy runtime and overall slow ecosystem which makes it a problem to use it for Computationally heavy work.

Additionally, the GIL also locks the multithreaded compute to a single thread which adds to the problem.

Reusability

access to a much larger ecosystem

Rust is already helping.....

PyOxidiser

is a tool for packaging and distributing Python applications as "binaries"

Why

Rust?

What is Rust?

Rust is a system level programming language that allows for great flexibility, control and safety while maintaining blazing fast performance.

But,
Why not C?

Or even C++

  1. Safety Through Type System

  2. Better Tooling

  3. Higher Level Abstractions

  4. Modern Syntax

But what's so good about it?

Safety

through Reference Counting and Affine Typing

fn add_vec(v : &mut Vec<i32>) {
    v.push(4);
    v.push(5);
}

fn main() {
    let mut x = vec!(1,2,3); // mutability is explicit
    let v1 : &i32 = &x[0];. // X[0] is borrowed
    add_vec(&mut x); // error x already has a borrowed ref
    println!("{}", v1);
}
void add_vec(vector<int>& v) {
    v.push_back(4);
    v.push_back(5);
}

void main() {
    vector<int> v(1,2);
    int &v1 = v[0];
    add_vec(v); // mut ref vec
    cout << v1 << endl; // might cause a segfault
}

Zero-Cost Abstractions

Rust follows a similar philosophy to C++ in terms of offering zero-cost abstractions and it deliveries quite well on the promises it makes.

 

Most if not all that you use in Rust has modern syntax familiar to those who use languages like Python while providing almost zero overhead. 

Tooling

Cargo is the package manager and crate host for rust. Akin to npm for JS, or PyPi.

 

And yes we call Rust packages crates.

Cargo allows you to use simple commands to install, create and manage crates.

Modern Syntax

Functional Programming Constructs

reduce() ,  map() ,  filter()

Pattern Matching

Direct Modules Integration

modules are a first party participant of Rust lang

And a lot more.............

Writing my our first Rust Python Module

What it takes?

Writing a module that is supposed to be accessed via another language is usually very hard to do.

 

Involves setup on both sides and interfacing with complex FFI functions and generating binary or channels of communication.

 

But due to the fact that Rust lacks a runtime and support C ABI interfacing.
We can actually use CFFI.

 

But?

Of course, there is a better way we are talking about Rust here. :P

 

And it involves using Python Bindings that generate Python Interpreter use ready binary with absolutely zero Python code or use of complex FFI systems.

 

 

rust-cpython is the original project but you can use PyO3 (it's fork) for greater flexibility, although this only supports Rust nightly builds.

Example rust-cpython lib code

What's the Performance Difference like?

Deserialization performance of Hyperjson. (Rust Py Module for JSON parsing) https://github.com/mre/hyperjson 
Simplejson & Rapidjson both are/use C and C++ libs repectively.

Why & When to write a Rust Module?

Made with Slides.com