Processing is known as somewhat of a programming "language" to be used by students and teachers in technology education. However, it is actually a library that has been built atop several languages including Java, JS, and Python. Presumably, this is to maintain function names, classes, etc across platforms so that students can more effectively carry over their knowledge of the library to these languages. OpenProcessing is an implementation of processing with a fancy editor and a goal to attract students who are more artistically inclined rather than mathematically. In any flavor, it seems that Processing is a compelling and interesting way for students to learn to code. Thanks to the power and simplicity of Processing, I was able to make a very basic example which you can view here
AWS is Amazon's cloud platform running on their own servers. You may be surprised to know, as was I, that AWS was actually started roughly 15 years ago, when black friday shoppers overloaded their servers with traffic. They realized that they needed a more robust solution, so they decided to start running everything on their own servers. Many large corporations now have AWS servers sitting behind their popular websites, but providing web hosting is not the only purpose of AWS today.
AWS is a relativly cost-competitive solution for various backend needs, such as machine learning, web hosting, databases, and a multitude of other things which I don't quite understand right now (that was a joke, sort of). One use for AWS which we looked at today was the machine learning aspect, specifically the creation of chatbots. Using AI, we can create text-based chat bots which also accept voice input. Unlike the telephone trees of yesteryear, these chatbots are actually somewhat useful, and use AI to parse the English language into various parts so that it can understand what you're trying to say in a scientific manner. As of now, you won't be able to have a full conversation over dinner, but you may have already used a chatbot backed by AWS if you ordered a plane or train ticket online. (you most likely haven't in the last 7 months). Not only are AI's useful for taking your money; they can also be used to help you when something you spent money on doesn't work. Thanks to the fact that the AI can somewhat understand your motive based on "human-like" conversation, it should be able to help you resolve your issue much more quickly than other solutions. Robots haven't taken our jobs yet, but they can prevent waiting on the phone for an hour before being transferred only to wait on hold for another.
I have finally migrated my blog from Wordpress to statyc-py. Unlike Wordpress, statyc-py generates the site's HTML in advance using Python. I created statyc-py myself as an alternative to bloated solutions which used PHP and similar methods of dynamic generation. Other static site generators already do this, but I wanted a less complicated solution, and so I took the much more difficult approach of making my own. Irony. An archived version of the old site will live here soon, and you will be able to browse all of my articles from last year.
statyc-py is written in the Python programming language, hence the "-py". It takes blog posts written in the simple Markdown language, which is basically plain text surrounded in different characters such as
** to denote different formatting such as bolding or italics. Blog posts along with the python code used to compile them into readable HTML are stored in a GitHub repository where they can be accessed anywhere. GitHub Pages is a great way to host HTML with sites such as this one, with the small caveat that you have to run the script to generate the HTML on your own computer before pushing to the repository. Netlify is the solution to this problem. Since I already had a
requirements.txt file with statyc's dependencies, I only had to create a plain text file specifying which version of Python for Netlify to use. Netlify lets you specify a command to run in your own private linux environment when the repository is updated, and so i was able to have it run render.py, the script which does the heavy lifting by generating the HTML. Voila! It worked with minimal "tinkery", and you are currently reading from it. I am aware; it is magical.
A Netlify subscription starts at the tantalizing price of $0.00
This is a blog about technology, science, and many other things. However, it is mostly about technology. I plan to post weekly about different current events, as well as new technologies and cool projects. I built this blog on statyc-py, my own static site generator written in Python, and am hosting this site on Netlify for free. You can visit statyc-py at https://github.com/teknowafel/statyc-py