Matthew Rocklin

Number of videos:
7
Blaze: Building a Foundation for Array-Oriented Computing in Python
SciPy 2014
Mark Wiebe , Matthew Rocklin
Recorded: July 10, 2014Language: English

The Blaze project is a collection of libraries being built towards the goal of generalizing NumPy's data model and working on distributed data. This talk covers each of these libraries, and how they work together to accomplish this goal.

SymPy Tutorial Part 1
SciPy 2014
Aaron Meurer , Jason K. Moore , Matthew Rocklin
Recorded: July 9, 2014Language: English

SymPy is a pure Python library for symbolic mathematics. 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 written entirely in Python and does not require any external libraries.

SymPy Tutorial Part 2
SciPy 2014
Aaron Meurer , Jason K. Moore , Matthew Rocklin
Recorded: July 9, 2014Language: English

SymPy is a pure Python library for symbolic mathematics. 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 written entirely in Python and does not require any external libraries.

SymPy Tutorial Part 3
SciPy 2014
Aaron Meurer , Jason K. Moore , Matthew Rocklin
Recorded: July 9, 2014Language: English

SymPy is a pure Python library for symbolic mathematics. 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 written entirely in Python and does not require any external libraries.

SymPy Tutorial Part 4
SciPy 2014
Aaron Meurer , Jason K. Moore , Matthew Rocklin
Recorded: July 9, 2014Language: English

SymPy is a pure Python library for symbolic mathematics. 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 written entirely in Python and does not require any external libraries.

Taking Control: Enabling Mathematicians and Scientists
SciPy 2014
Matthew Rocklin
Recorded: July 9, 2014Language: English

Good solutions to hard problems require both domain and algorithmic expertise. Domain experts know what to do and computer scientists know how to do it well. This talk discusses challenges and experiences trying to reconcile these two groups, particularly within SymPy. It proposes concrete approaches including multiple dispatch, pattern matching, and programmatic strategies.

SymPy Stats - Uncertainty Modeling
SciPy 2012
Matthew Rocklin
Recorded: July 18, 2012Language: English