Calendar

Upcoming events with the Princeton University Python Community :

14 December 2016
  • Exploring Non-Linear Dynamical Systems with Python (Max Wilson)
    Starts: 21:00
    Ends: 14 December 2016 - 22:00

    Location: Vis Lab, 347 Lewis Library


    Description:

    The study of dynamical systems has become a fundamental part of many scientific disciplines. While the subject was born in the 1600s with Newton's invention of differential equations it was not really until the invention of the computer that the study of dynamical systems really took off. Today implementations of integrators, visualization modules and optimization tools in python make it even easier for researcher to gain an intuition into complex non-linear systems. We will look at python tools and tricks for defining complex dynamical systems as functions, solving them with the scipy integrator, visualizing their phase space and delivering arbitrary instantaneous inputs. This will be a basic overview of the tools used by and developed in our lab to study non-linear dynamical systems.
    Bio:
    Max Wilson is currently a postdoctoral fellow in the Molecular Biology Department. His work focuses on characterizing how molecular systems process and decode dynamic signals. His first experiences with python were at the early PrincetonPy meetings 2013 where he was captivated by the ease-of-use and flexibility of the language. He received his PhD from Princeton in 2015.

18 January 2017
  • ArcGIS Python (William Guthe)
    Starts: 16:00
    Ends: 18 January 2017 - 17:00

    Location: Vis Lab, 347 Lewis Library


    Description:

    The Environmental Systems Research Institute (Esri) has long used Python to develop its Geographic Information System (GIS) software and to provide scripting tools to users. A variety of geoprocessing tools are available as Python scripts, and script editing is supported within Esri’s ArcGIS for Desktop applications. This session will demonstrate Esri’s Python site package ArcPy within ArcGIS Pro, and also will access the ArcPy module outside of an Esri Desktop application. On-line resources to help users use ArcPy will also be explored.

1 February 2017
  • Python debugging and unit testing tools (Alexey Svyatkovskiy)
    Starts: 21:00
    Ends: 1 February 2017 - 22:00

    Location: Vis Lab, 347 Lewis Library


    Description:

    Python debugging and unit testing tools

15 February 2017
  • Matplotlib (Ben Deverett)
    Starts: 21:00
    Ends: 15 February 2017 - 22:00

    Location: Vis Lab, 347 Lewis Library


    Description:

    Matplotlib:
    We all need high-quality plots for data inspection, presentation, and publication. Matplotlib is a powerful Python library for visualizing data. Because it is so customizable, it can be challenging for beginners to find an efficient and reusable workflow. We will go over the structure of the matplotlib library and how to use it to generate beautiful custom plots.

1 March 2017
  • Introduction to Tensorflow (Alexey Svyatkovskiy)
    Starts: 21:00
    Ends: 1 March 2017 - 22:00

    Location: Vis Lab, 347 Lewis Library


    Description:

    Introduction to
    Tensorflow