Fernando Pérez

Number of videos:
13
The Berkeley Institute for Data Science a place for people like us
SciPy 2014
Fernando Pérez
Recorded: July 10, 2014Language: English

I will describe the new Berkeley Institute for Data Science (BIDS), part of a collaboration with UW and NYU funded by the Moore and Sloan Foundations. It will be a space for the open and interdisciplinary work that is typical of the SciPy community. In the creation of BIDS, the role of open source scientific tools for Data Science, and specifically the SciPy ecosystem, played an important role.

Interactive Parallel Computing with IPython Part 1
SciPy 2014
Fernando Pérez , Min RK
Recorded: July 9, 2014Language: English

Learn about interactive parallel computing in IPython.parallel, with examples including parallel image processing, machine learning, and physical simulations. IPython provides an easy way to interact with your multicore laptop or compute cluster.

Interactive Parallel Computing with IPython Part 2
SciPy 2014
Fernando Pérez , Min RK
Recorded: July 9, 2014Language: English

Learn about interactive parallel computing in IPython.parallel, with examples including parallel image processing, machine learning, and physical simulations. IPython provides an easy way to interact with your multicore laptop or compute cluster.

Interactive Parallel Computing with IPython Part 3
SciPy 2014
Fernando Pérez , Min RK
Recorded: July 9, 2014Language: English

Learn about interactive parallel computing in IPython.parallel, with examples including parallel image processing, machine learning, and physical simulations. IPython provides an easy way to interact with your multicore laptop or compute cluster.

Keynote - Fernando Pérez
PyCon US 2014
Fernando Pérez
Recorded: April 13, 2014Language: English
IPython in depth: high productivity interactive and parallel python
PyCon US 2014
Fernando Pérez
Recorded: April 12, 2014Language: English

IPython provides tools for interactive and parallel computing that are widely used in scientific computing, but can benefit any Python developer.

We will show how to use IPython in different ways, as: an interactive shell, an embedded shell, a graphical console, a network-aware VM in GUIs, a web-based notebook with code, graphics and rich HTML, and a high-level framework for parallel computing.

IPython in-depth: high-productivity interactive and parallel python
PyCon US 2013
Brian Granger , Fernando Pérez , Min RK
Recorded: March 13, 2013Language: English

IPython provides tools for interactive and parallel computing that are widely used in scientific computing, but can benefit any Python developer.

We will show how to use IPython in different ways, as: an interactive shell, an embedded shell, a graphical console, a network-aware VM in GUIs, a web-based notebook with code, graphics and rich HTML, and a high-level framework for parallel computing.

All materials for this tutorial can be found on our github repository

Science And Python: retrospective of a (mostly) successful decade
PyCon CA 2012
Fernando Pérez
Recorded: Nov. 11, 2012Language: English

The relation between Python and scientific work is a long one, and in the last 10+ years it has turned into a major success story. I will review this process from the vantage point of IPython’s role, and will look into the challenges ahead for Python to remain a leader in this space.

IPython: Python at your fingertips
PyCon US 2012
Brian E. Granger , Fernando Pérez , Min Ragan-Kelley , Thomas Kluyver
Recorded: March 9, 2012Language: English

IPython is widely used in the scientific community, but its various tools can be used in any context. IPython gets you as close as possible to the Python language, with an array of tools for productive work: at the terminal, in GUIs, through a web browser, and in high-level parallel computing. This talk will explain the design of IPython and provide short, hands-on demos of its main features.

IPython in-depth: high-productivity interactive and parallel python
PyCon US 2012
Brian E. Granger , Fernando Pérez , Min Ragan-Kelley
Recorded: March 7, 2012Language: English

IPython provides tools for interactive and parallel computing that are widely used in scientific computing, but can benefit any Python developer. We will show how to use IPython in different ways, as: an interactive shell, an embedded shell, a graphical console, a network-aware VM in GUIs, a web-based notebook with code, graphics and rich HTML, and a high-level framework for parallel computing.