Show HN: Functioneer – Do eng/sci analysis in <5 lines of code

Hi HN, first post here!

Functioneer is the ultimate batch runner. Prepare to be an analysis ninja. I hope to get it out there and get some feedback!

I worked as a solar thermal engineer for years and was always shocked there was no tool that made optimization and higher dimension parameter testing easy. So as soon as I learned to code last year, I made one.

With Functioneer, every analysis is a series of steps where you can define parameters, create branches, and execute or optimize a function and save the results as parameters. You can add as many steps as you like, applied to all branched simultaneously. This is really powerful!

Example: Test any function you like across a grid of parameters (this example uses the popular Rosenbrock function): ```python import functioneer as fn

# Insert your function here! def rosenbrock(x, y, a, b): return (a-x)*2 + b(y-x*2)*2

# Create analysis module with initial parameters anal = fn.AnalysisModule({'a': 1, 'b': 100, 'x': 1, 'y': 1})

# test over a grid of 'x' and 'y' values anal.add.fork('x', (0, 1, 2)) anal.add.fork('y', (1, 10)) anal.add.execute(func=rosenbrock)

print(anal.run()['df'][['x', 'y', 'rosenbrock']]) ``` ``` Example Output: a b x y rosenbrock 0 1 100 0 1 101 1 1 100 0 10 10001 2 1 100 1 1 0 3 1 100 1 10 8100 4 1 100 2 1 901 5 1 100 2 10 3601 ```