This also made it great for Jupyter notebooks. And hacking together scripts to analyse data. And to perform operations on data. And to be the underpinning of the biggest paradigm change in computing, namely Artificial Intelligence.
See? The awkward introvert does come into his own eventually.
So we at CodeProject are finding ourselves surrounded by a sea of Python with no option but to hold our noses and jump right in.
As an ex-Environmental Engineer surrounded by FORTRAN writing physicists I still get the shivers when I see some of the Python code floating around. We can use more than 72 characters, guys, so please feel free not to name your variables
z. But there's also a lot of amazing Python code out there. Incredible stuff.
This is the stuff we want to see more of so we're starting from basics and will be diving into Python, data analysis, and then some of the gnarlier Open Source Deep Learning and Artificial Intelligence packages available today. Our goal is to promote the knowledge of the field of AI but to do it by following the most treadworn path using Python. We're not trying to reinvent anything: rather, we want to present it back to the community in a form that's easily digested.
Right now we're most of the way through our initial offering which is the most basic Python Reference we could conceive. Short, code-first, simple examples, and an emphasis on explaining "why" instead of "what".
It'll be a work in progress but we hope to have the first version live before Halloween.
While you're waiting, make sure you be awesome when you code.