Recently, I was working on some Python code where I needed to keep track of an ordered list of functions to where I could call these functions again at any given time based upon a numeric index. Think of this situation like a list keeping track of an object by index, but instead, I wanted to keep track of a functions by index. My first thought was to try and create some sort of generic object that could manage all of these functions and the specific ordering that I needed.
I was recently asked in a computational project to generate prime numbers to be used in public key hashing routines. The idea was that I needed to write an algorithm that finds prime numbers between a specific range and then those prime numbers would be randomly assigned to a list and then multiplied together in sequence to produce large complex numbers that would then, in turn, be concatenated together to form variations of public keys.
This past weekend I am happy to have attended PyData Chicago 2016, put on by PyData and held at the University of Illinois Chicago at the UIC Student Center. PyData Chicago 2016 was a conference all about using Python along with data science and open source tools to help data scientists, developers, and academics better get their jobs done in a more efficient way. Before I go any further...
I have always been on the lookout for a tool that I can use to synchronize files between two Rackspace Cloud Containers. I have looked high and low for a suitable tool that syncs files from an origin container to a destination container whether that destination container exists or not. Finally, I decided that if I want something like this then I was just going to have to roll up my sleeves and create the tool myself.