pandas is used by many people to make their lives easier when analyzing
data. This talk is centered around how the overarching goal of user
productivity has driven the balance of API development and performance
optimization. We will cover some pandas basics. We'll talk about pandas
performance. And we'll discuss data structures and algorithms. Along the
way, we'll cover best practices and tools useful for developing open source
Chang She is the CTO/co-founder of DataPad. A pythonista and recovering
financial quant, Chang was a core contributor to pandas prior to
co-founding DataPad. Chang is passionate about creating better data tools
to make knowledge workers more productive.
Andy Hayden is a core contributor to pandas and holds the dubious accolade
of having answered the most pandas-related questions on Stack Overflow.
Andy is an analyst and software engineer from the UK, turned Data Scientist
in CA, and is enthusiastic about making data tools easy.
*This is a Bay Area Python Interest Group (BayPIGgies) organized event.
Please also see their web page: http://baypiggies.net/