HI Labs researcher Corinne Brenner was invited to attend PyGotham 2015, here are a few of her key reflections.
This weekend’s PyGotham conference renewed an appreciation for all things Python in NYC. Python is a programming language known for being concise and easy for humans to read. As the R-using sole holdout at Harmony Institute, I’m still getting used to Python’s conventions and approaches to data gathering, analysis, and presentation. PyGotham was a chance for me to see what others are doing, and get excited about new possibilities.
The range of topics, industries, and goals represented by different users at PyGotham was impressive. From detecting sarcasm in speech to developing a database of NYC boiler information, presenters discussed how they’re using the seemingly infinite flexibility Python to attack their problems. The audience also had a diverse range of expertise required, from the newer users wrapping heads around constructing a web app (Thanks, Kat Chuang) or a data pipeline (Thanks, Joe Cabrera), to more experts debating the relative merits of running applications on cloud container services (Thanks, Jeff Uthaichai and Chris Becker) and scaling automated recommendations in real time (Thanks, Brian Muller).