This talk will use core functionality from the `PyToolz` projects. Students will leave both with a set of concrete tools and with an understanding of some of the more applicable lessons from the functional style.
Matthew is an academic and avid open source contributor. He has his PhD in computer science from the University of Chicago where he worked on symbolic methods for numeric code generation. Now he works at Sandia National Labs on computation on large complex networks. He refines his ideas on software design and collaboration through a variety of open source projects, largely in the Python ecosystem.
What is PyData?
PyData.org is the home for all things related to the use of Python in data management and analysis. This site aims to make open source data science tools easily accessible by listing the links in one location. If you would like to submit a download link or any items to be listed in PyData News, please let us know at: email@example.com
PyData conferences are a gathering of users and developers of data analysis tools in Python. The goals are to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply the language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization.
We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person.
A major goal of PyData events and conferences is to provide a venue for users across all the various domains of data analysis to share their experiences and their techniques, as well as highlight the triumphs and potential pitfalls of using Python for certain kinds of problems.
PyData is organized by NumFOCUS with the generous help and support of our sponsors. Proceeds from PyData are donated to NumFOCUS and used for the continued development of the open-source tools used by data scientists If you would like to volunteer to be a part of the PyData team contact us at: firstname.lastname@example.org