PyData

By Olivia Guest, Postdoctoral Researcher, Oxford BabyLab, Department of Experimental Psychology, University of Oxford and Software Sustainability Institute Fellow.

I signed up to go to PyData London for three reasons. Firstly, looking over the talks I noticed that a lot of them were about specific machine learning algorithms and libraries we (I and/or my lab use) in our research, e.g., gensim and theano. Specific emphasis was placed on artificial neural networks, a type of computational model I both teach to undergraduate students (part of a movement called connectionism) and use daily in my research. So I assumed that it would be a good opportunity to ask questions and meet the developers of some of the libraries and codebases we use.

Secondly, having been working in experimental psychology departments since 2009, it often requires a little more effort to stay in the loop so to speak when it comes to programming tools and trends. So while I know how to write a journal article and how to design experiments because I practise these in…

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By Mark Basham, Senior Software Scientist, Diamond Light Source and 2014 Institute fellow.

As a scientist, the chance to glimpse inside the world of data analytics in the financial sector was something I was really keen on, and if nothing else, the setting for PyData London did not disappoint. Level 39 is the 39th floor of 1 Canada Square, at the heart of Canary Wharf. Its breath-taking views and modern layout and design made for a really good conference location, and set the mood for the conference well.

PyData is all about using Python to analyse data, and as such the delegates were a mix of academic and commercial programmers, which made for an interesting diversity of presentations and conversation. In addition to this, there was a two track program, the first generally targeted at novice Python users, and the other with more advanced talks.

With presentations ranging from You give me data, I give you art and Adaptive Filtering of Tweets with Machine Learning through to Blosc: Sending data from memory to CPU (and back) faster than memcpy() and DX Analytics -

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A Python, yesterday.The last chance to register for PyData London has been announced by organisers, with only a few places left at the event, which is due to take place in Canary Wharf in less than two weeks time.

For more details and to register your place, go to the main PyData London page for further details.

The conference, which brings together a wide range of users, developers and researchers, will explore the latest developments in Python code and will be held at Level39, One Canada Square, between 21-23 February.

This will be the first UK PyData conference, which has already been a great success in the US and promotes the open source Python code which allows users to integrate their systems with ease and speed up their work.

Events will range from tutorials for those new to Python to a wide range of workshops for more experienced users, and there will be many excellent opportunities for networking and meeting key figures in the Python Community. These include Institute fellows Kayla Iacovino and Mark Basham. Also attending is Southampton-based fellow Robin Wilson.

Europe’s first PyData event is to be held next month in London, bringing together Python enthusiasts from around the world.

Taking place at Level39, Canary Wharf, PyData will be held between 21 and 23 February, bringing together scientists, developers and others from the Python data science community to discuss new techniques and tools for management, analytics and the visualisation of data.

This comes alongside a call for proposed talks, tutorials and workshops at the event, starting from 30 January. Interested parties are advised to visit the main site for further details and to register, and be ready to provide both a short abstract and biography.

PyData is already a success in the USA, where it has mushroomed into 4 conferences a year in cities such as Santa Clara, New York and Cambridge, MA, with attendance rates at each event being over 1,300 on average.

This is in contrast to its humble origins in 2012, when the first Pydata took place in California and was only attended by 40 people.

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