He also worked on a Google Summer of Code project with SymPy in 2015 'Improving the series package and limits in SymPy'. He has been involved with the project for over an year. Support for net-neutrality in India ultimately leading to a prohibition on Zero Savetheinternet.in coalition which galvanized the Web portal highlighting the gender in the biographies on He has interned at Continuum Analytics, he also helped create a
Interested in all aspects of Free and Open Source Software and a Free Society He mentored a student in 2015 to improve and expand the work he started. On the new solveset module as his Google Summer of Code project in 2014, then Harsh is a SymPy developer and a student at IIT Kharagpur. Amit has given talks at PyDelhi Conference, assisted the SymPy workshop at P圜on India 2015 and also taught a tutorial on SymPy at FOSSASIA 2016 conference at Singapore. He also worked on a Google Summer of Code project with SymPy in 2015 improving the solvers and sets module. He is involved with the project for over an year. Jason has given numerous scientific talks, been an undergraduate lecturer, is a certified Software Carpentry instructor, and lead several scientific computing workshops including tutorials at P圜on and SciPy in the past. He is a strong proponent for Open Science and has a PhD in Mechanical and Aerospace Engineering from UC Davis. He utilizes both packages to run optimal control algorithms for biomechanical systems, in particular data driven powered prosthetic designs. Jason is a developer with both the SymPy and PyDy projects.
He has co-taught a tutorial on SymPy at the SciPy 2013 conference. Ondřej uses Fortran and C++ for high performance production codes and Python for visualization, symbolic and numeric computation, and other tasks. in Chemical Physics from University of Nevada, Reno in 2012, then he started as a PostDoc at Los Alamos National Laboratory (LANL) and was converted to a staff scientist there a year later. Ondřej is the original author of SymPy, that he started in 2007. If you have recorded talks or tutorials available online, please include links. However, any more advanced topics will be explained during presentation. We expect attendees of this tutorial to have basic knowledge of Python and mathematics. This knowledge should be enough for attendees to start using SymPy for solving mathematical problems and hacking SymPy's internals (though hacking core modules may require additional expertise).
In the last part of this tutorial we will show how to solve simple, yet illustrative, mathematical problems with SymPy. We will also discuss the most common issues and differences from other computer algebra systems, and how to deal with them. Then we will proceed to the basics of constructing and manipulating mathematical expressions in SymPy.
We will start by showing how to install and configure this Python module. In this tutorial we will introduce attendees to SymPy.
SymPy is written entirely in Python and does not require any external libraries. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is a pure Python library for symbolic mathematics. Please provide a detailed abstract of your tutorial: Title Symbolic Compution with Python using SymPy Tutorial Topic