punkbrwstr

4 ms·

1.
by punkbrwstr 6mo ago
How quickly can they get this in the Yuma tent
2.
Show HN: DataFrames as Stacks of Lazy Columns(github.com)
2 points by punkbrwstr 1y ago|0 comments
3.
by punkbrwstr 5y ago
My pynto https://github.com/punkbrwstr/pynto is a similar framework for creating dataframes, but using a concatenative paradigm that treats the frame as a stack of columns. Functions ("words") operate on the
4.
by punkbrwstr 7y ago
You definitely could do a similar column-level functional approach that way, but I think the simple syntax of the stack-oriented approach makes it easier to read and catch errors. The code would be a lot longer that way.
5.
by punkbrwstr 7y ago
Building up complicated time series transformations by composing simple functions helps me be sure I'm doing what I think I'm doing. Since the transformations are tacit expressions that don't define specific parameters they
6.
by punkbrwstr 7y ago
Which game is it where you drop the word "otiose" in the second paragraph?
7.
by punkbrwstr 7y ago
The stack-oriented approach can also be used within modern languages to realize the benefits of simplicity and code-reusablility. I created a python package for data analysis that treats a data frame like a stack of columns and lets you ma
8.
by punkbrwstr 7y ago
Thanks! I tried keeping it all stack-based, but I really wanted default arguments. In the end the parameters felt more usable even if they are "impure". I made a bunch of iterations of a postfix calculator for time series before
9.
Data analysis in Python using the concatenative paradigm(github.com)
5 points by punkbrwstr 7y ago|2 comments
10.
Tacit time: Pinto is a functional domain-specific language for time series(pinto.tech)
2 points by punkbrwstr 9y ago|0 comments
11.
Show HN: Pinto is a stack-based functional language for time series(github.com)
7 points by punkbrwstr 10y ago|1 comments