The keynote speaker for the morning with Kenneth Reitz, who is well known in
the Python community as being the author of the Requests package, and for being
an advocate and example for spending effort in producing succinct and clean
APIs. This talk was a huge highlight of the conference, and (once the videos
are up), the kind of content you'd want to show to junior developers to
encourage them to be Python developers, adopting all the ideals of the Zen of Python. I certainly left this one feeling (a tiny bit) guilty that I don't think about this as much as I should.
Kenneth was also pushing the idea that all developers in the community should
consider contributing to python-guide.org, which is aimed to show developers,
new and existing alike what the current best practices are, and in some cases
the one obvious way to do things. This point resonated with a number of
attendees, and I believe that there could well be a collaborative project
coming up working on content for explaining how to mirror cheeseshop/PyPI.
The talk on funcargs (and pytest) by Brianna Laugher was excellent, I definitely need to watch the video, and have a think about whether any of the concepts described should be incorporated into the test code I maintain. I'm very happy with nose, but test generators sound quite attractive.
Russell Keith-Magee gave an impromptu talk after a late change in the program on Django core, and the things you can do to maximise your chances of getting your changes added. This talk was pretty far out from what I'd normally go to. My work doesn't involve webapps, so I don't use Django, and don't know if I'll ever need to, so I'm sure I missed a lot of the subtleties. However, it did give me a little bit of an idea what the difference between django-contrib and django-core are, and it's always good to have a feel for the major groups in a community. There was also a reference to a great document on API maturity.
Rhydwyn Mcguire (another MPUG regular) gave a great overview of the current state of RPy, a bridge between the R statistical language and Python. I'm sure the information on developing new code using R-studio will come in handy, as will the list of "features" to be wary of in integrating the two languages. Personally, I think that R looks horrible compared to the pandas library.
Alex Sharp from OrionVM gave the last talk that I saw all of before rushing out to the airport. He spoke about what it takes to make cloud computing work. I've seen a few cloud presentations before, and this one was the first that I've seen the presenter talk about probability distributions, statistics, bloom filters and the types of tricks that you need to process truly massive data sets in practice. Being someone who loves code and math, this one was right up my alley.
Oh, and my talk was in there somewhere....
Sunday 19 August 2012
Saturday 18 August 2012
PyConAU 2012 - Day 1
The easy first day of the conference, at least from my perspective =) is over. It was really great to see a good range of content, and in particular science content, that obviously appeal to a broad audience.
Mark Ramm (now from Canonical) was the keynote speaker for the first session of the morning. I've had the chance to listen to Mark previously, but this talk was particularly good. His main message was "don't waste your life", and to do that by focusing on things where you can really make a difference. For him, that meant trying to find a way to prevent project failures by minimising technical and marketing risk. His suggestion was to focus the work you do by testing and measuring, rather than guessing or blindly asking people questions (market research). The questions and discussion that followed the talk on how to design good experiments were also excellent.
The first session of the morning for me was given by Tennessee Leeuwenburg, one of the regular team from Melbourne Python Users Group (MPUG), on "Visualising Architecture". The talk focused on giving developers practical ways of learning and writing libraries and to understand and improve existing projects. This included using tricks like associating components with locations in the project file system and making good use of visualisations to communicate and justify the decisions you want to make.
After lunch I went to Ed Schofield's talk on "What's new in Python for Science and Engineering", which was one of the talks that I was most looking forward too. Ed covered a huge number of topics, but there were a few really new things I need to look into in the near future. This included:
The final talk of the day that I went to "An Unexpected Day" given by Aaron Iles was amazing. I respect the huge amount of work that must have gone into the preparation for the talk, which ended up being presented as one part drama and two parts programming presentation. The talk focused on how to make best use of python and ctypes, when they were the only available option for solving a problem. The only thing I'm disappointed about is that the talk didn't get recorded.
Mark Ramm (now from Canonical) was the keynote speaker for the first session of the morning. I've had the chance to listen to Mark previously, but this talk was particularly good. His main message was "don't waste your life", and to do that by focusing on things where you can really make a difference. For him, that meant trying to find a way to prevent project failures by minimising technical and marketing risk. His suggestion was to focus the work you do by testing and measuring, rather than guessing or blindly asking people questions (market research). The questions and discussion that followed the talk on how to design good experiments were also excellent.
The first session of the morning for me was given by Tennessee Leeuwenburg, one of the regular team from Melbourne Python Users Group (MPUG), on "Visualising Architecture". The talk focused on giving developers practical ways of learning and writing libraries and to understand and improve existing projects. This included using tricks like associating components with locations in the project file system and making good use of visualisations to communicate and justify the decisions you want to make.
After lunch I went to Ed Schofield's talk on "What's new in Python for Science and Engineering", which was one of the talks that I was most looking forward too. Ed covered a huge number of topics, but there were a few really new things I need to look into in the near future. This included:
- New (for me) libraries for CUDA and parallelisation Theano and copperhead.
- The talks for SciPy2012 are now online.
- The ipython web notebook now has resizable figures!
- There were also a few new interesting Cython things to look at in the future
The final talk of the day that I went to "An Unexpected Day" given by Aaron Iles was amazing. I respect the huge amount of work that must have gone into the preparation for the talk, which ended up being presented as one part drama and two parts programming presentation. The talk focused on how to make best use of python and ctypes, when they were the only available option for solving a problem. The only thing I'm disappointed about is that the talk didn't get recorded.
PyConAU 2012 - Day 0
PyCon Australia has started for 2012! The venue for the conference is beautiful, looking out over the water in Hobart, with an amazing view of all the boats. After registration it was time to grab swag bags, and get ready for CodeWars, the first event of the conference.
 |
| The very monty-python like conference t-shirt |
CodeWars is a team programming challenge. The first few questions revolved around some tricky use of decoding hidden messages using python modules. The final task of the night was open ended, with the result decided by audience applause. This was a great way to catch up with old friends, meet some new people, and settle into PyCon
Tuesday 14 August 2012
Python Powered Computational Geometry at PyConAU
I'll be speaking with a colleague at PyConAU 2012 this weekend. We'll be giving a 30 minute talk on Python Powered Computational Geometry. The emphasis will be on how the right python tools can help you rapidly prototype solutions, visualise results, and generally get stuff done efficiently, without worrying too much about implementation details.
The full talk description as published is as follow:
Computational Geometry is the study of geometry with the support of appropriate algorithms, and influences a broad range of fields of science, engineering and mathematics including: Computation Fluid Dynamics (CFD), Finite Element Modelling (FEM), Computer Aided Design / Modelling (CAD/CAM), Robotics, Computer Graphics and Collision Detection.
While it is possible to quickly implement naive versions of computational geometry algorithms in any language, such algorithms can be expensive and time consuming to write, debug and maintain. The advent of a number of tools, including new bindings for the Computational Geometry Algorithms Library (CGAL) and the ipython notebook make Python an ideal tool for experimentation with fast and numerically robust algorithms.
The presentation will include demonstrations of a number of common two- and three-dimensional computational geometry algorithms:
The full talk description as published is as follow:
Computational Geometry is the study of geometry with the support of appropriate algorithms, and influences a broad range of fields of science, engineering and mathematics including: Computation Fluid Dynamics (CFD), Finite Element Modelling (FEM), Computer Aided Design / Modelling (CAD/CAM), Robotics, Computer Graphics and Collision Detection.
While it is possible to quickly implement naive versions of computational geometry algorithms in any language, such algorithms can be expensive and time consuming to write, debug and maintain. The advent of a number of tools, including new bindings for the Computational Geometry Algorithms Library (CGAL) and the ipython notebook make Python an ideal tool for experimentation with fast and numerically robust algorithms.
The presentation will include demonstrations of a number of common two- and three-dimensional computational geometry algorithms:
- Triangulations
- Mesh refinement
- Intersection testing
- Alpha shapes
- Convex hulls
- Constructive Solid Geometry
- Minkowski Sums
Subscribe to:
Posts (Atom)