PyPy.js: What? How? Why? by Ryan Kelly

PyPy.js is an experiment in building a fast, compliant, in-browser python interpreter. By compiling the PyPy interpreter into javascript, and retargeting its JIT compiler to emit asmjs code at runtime, it is possible to run python code in the browser at speeds competitive with a native python environment. This talk will demonstrate the combination of technologies that make such a thing possible, the results that have been achieved so far, and the challenges that still remain when trying to take python onto javascript's home turf. We'll cover: an overview of PyPy and why it's a good fit for this type of project; an introduction to asmjs and the rise of javascript as a compile target; what it looks like when you smoosh these two technologies together; a comparison with other approaches such as brython; and some concrete suggestions for how the result might be useful in practice. PyCon Australia is the national conference for users of the Python Programming Language. In August 2014, we're heading to Brisbane to bring together students, enthusiasts, and professionals with a love of Python from around Australia, and all around the World. August 1-5, Brisbane, Queensland, Australia

Related Talks

Guido van Rossum on Type Hints at PyCon 2015

Guido van Rossum
an hour
Guido van Rossum on Type Hints at PyCon 2015Guido van Rossum, creator of the Python programming language, discusses type hinting in Python 3.5. With type hinting, programmers can use type annotations to provide tools like type checkers and IDEs with more information about the expected types of values and enable better static analysis. This talk was organized by ...

Thomas Pfaff: Advanced Data Storage

Thomas Pfaff: Advanced Data StorageIn this tutorial we will give an introduction to two advanced data storage formats. HDF5 and NetCDF were designed to efficiently store the results of supercomputing applications like climate model outputs, or the data streams received from NASA's fleet of earth observing satellites. They provide a lot of optimizations concerning ...

Facts and Myths about Python names and values

Ned Batchelder
25 minutes
Facts and Myths about Python names and valuesThe behavior of names and values in Python can be confusing. Like many parts of Python, it has an underlying simplicity that can be hard to discern, especially if you are used to other programming languages. Here I'll explain how it all works, and present some facts and myths along ...

Rob Story - Up and Down the Python Data and Web Visualization Stack

Rob Story - Up and Down the Python Data and Web Visualization StackPyData SV 2014 In the past two years, there has been incredible progress in Python data visualization libraries, particularly those built on client-side JavaScript tools such as D3 and Leaflet. This talk will give a brief demonstration of many of the newest charting libs: mpld3 (using Seaborn/ggplot), nvd3-python, ggplot, Vincent, ...

Bugra Akyildiz - Outlier Detection in Time Series Signals

Bugra Akyildiz - Outlier Detection in Time Series SignalsPyData SV 2014 Many real-world datasets have missing observations, noise and outliers; usually due to logistical problems, component failures and erroneous procedures during the data collection process. Although it is easy to avoid missing points and noise to some level, it is not easy to detect wrong measurements and outliers ...