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SciPy.in 2010 2nd International Conference on “Scientific Computing with Python” SciPy.in 2010 December 13th to 18th 2010, Hyderabad, India http://scipy.in/scipyin/2010/ Invited Talks How Python Slithered into Astronomy Perry Greenfield Talk/Paper Abstract I will talk about how Python was used to solve our problems for the Hubble Space Telescope. From humble beginnings as a glue element for our legacy software, it has become a cornerstone of our scientific software for HST and the next large space telescope, the James Webb Space Telescope, as well as many other astronomy projects. The talk will also cover some of the history of essential elements for scientific Python and where future work is needed, and why Python is so well suited for scientific software. IPython : Beyond the Simple Shell Fernando Perez Talk/Paper Abstract IPython is a widely used system for interactive computing in Python that extends the capabilities of the Python shell with operating system access, powerful object introspection, customizable "magic" commands and many more features. It also contains a set of tools to control parallel computations via high-level interfaces that can be used either interactively or in long-running batch mode. In this talk I will outline some of the main features of IPython as it has been widely adopted by the scientific Python user base, and will then focus on recent developments. Using the high performance ZeroMQ networking library, we have recently restructured IPython to decouple the kernel executing user code from the control interface. This allows us to expose multiple clients with different capabilities, including a terminal-based one, a rich Qt client and a web-based one with full matplotlib support. In conjunction with the new HTML5 matplotlib backend, this architecture opens the door for a rich web-based environment for interactive, collaborative and parallel computing. There is much interesting development to be done on this front, and I hope to encourage participants at the sprints during the conference to join this effort. Teaching Programming with Python Asokan Pichai Talk/Paper Abstract As a trainer I have been engaged a lot for teaching fresh Software Engineers and software job aspirants. Before starting on the language, platform specific areas I teach a part I refer to as Problem Solving and Programming Logic. I have used Python for this portion of training in the last 12+years. In this talk I wish to share my experiences and approaches. This talk is intended at Teachers, Trainers, Python Evangelists, and HR Managers [if they lose their way and miraculously find themselves in SciPy :-)] matplotlib: Beyond the simple plot John Hunter Talk/Paper Abstract matplotlib, a python package for making sophisticated publication quality 2D graphics, and some 3D, has long supported a wide variety of basic plotting types such line graphs, bar charts, images, spectral plots, and more. In this talk, we will look at some of the new features and performance enhancements in matplotlib as well as some of the comparatively undiscovered features such as interacting with your data and graphics, and animating plot elements with the new animations API. We will explore the performance with large datasets utilizing the new path simplification algorithm, and discuss areas where performance improvements are still needed. Finally, we will demonstrate the new HTML5 backend, which in combination with the new HTML5 IPython front-end under development, will enable an interactive Python shell with interactive graphics in a web browser. Mayavi : Bringing Data to Life Prabhu Ramachandran Talk/Paper Abstract Mayavi is a powerful 3D plotting package implemented in Python. It includes both a standalone user interface along with a powerful yet simple scripting interface. The key feature of Mayavi though is that it allows a Python user to rapidly visualize data in the form of NumPy arrays. Apart from these basic features, Mayavi has some advanced features. These include, automatic script recording, embedding into a custom user dialog and application. Mayavi can also be run in an offscreen mode and be embedded in a sage notebook (http://www.sagemath.org). We will first rapidly demonstrate these key features of Mayavi. We will then discuss some of the underlying technologies like enthought.traits, traitsUI and TVTK that form the basis of Mayavi. The objective of this is to demonstrate the wide range of capabilities that both Mayavi and its underlying technologies provide the Python programmer. Nipype: Opensource platform for unified and replicable interaction with existing neuroimaging tools Satrajit Ghosh Talk/Paper Abstract Current neuroimaging software offer users an incredible opportunity to analyze their data in different ways, with different underlying assumptions. However, this has resulted in a heterogeneous collection of specialized applications without transparent interoperability or a uniform operating interface. Nipype, an open-source, community-developed initiative under the umbrella of Nipy, is a Python project that solves these issues by providing a uniform interface to existing neuroimaging software and by facilitating interaction between these packages within a single workflow. Nipype provides an environment that encourages interactive exploration of neuroimaging algorithms from different packages, eases the design of workflows within and between packages, and reduces the learning curve necessary to use different packages. Nipype is creating a collaborative platform for neuroimaging software development in a highlevel language and addressing limitations of existing pipeline systems.