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Andrea Zonca's blog | Andrea Zonca's blog

Andrea Zonca: notes about Python, high performance computing, data analysis. Run Jupyterhub on a Supercomputer. Thu 02 April 2015 ]. Accelerate groupby operation on pixels with Numba. Tue 24 March 2015 ]. Software Carpentry setup for Chromebook. Tue 10 February 2015 ]. Wed 22 October 2014 ]. Write unit tests as cells of IPython notebooks. Tue 30 September 2014 ]. How to perform code review for scientific software. Thu 28 August 2014 ]. Tue 19 August 2014 ]. Thu 05 June 2014 ]. Thu 20 March 2014 ]. Tue 17...

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Andrea Zonca: notes about Python, high performance computing, data analysis. Run Jupyterhub on a Supercomputer. Thu 02 April 2015 ]. Accelerate groupby operation on pixels with Numba. Tue 24 March 2015 ]. Software Carpentry setup for Chromebook. Tue 10 February 2015 ]. Wed 22 October 2014 ]. Write unit tests as cells of IPython notebooks. Tue 30 September 2014 ]. How to perform code review for scientific software. Thu 28 August 2014 ]. Tue 19 August 2014 ]. Thu 05 June 2014 ]. Thu 20 March 2014 ]. Tue 17...
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Andrea Zonca's blog | Andrea Zonca's blog | zonca.github.io Reviews

https://zonca.github.io

Andrea Zonca: notes about Python, high performance computing, data analysis. Run Jupyterhub on a Supercomputer. Thu 02 April 2015 ]. Accelerate groupby operation on pixels with Numba. Tue 24 March 2015 ]. Software Carpentry setup for Chromebook. Tue 10 February 2015 ]. Wed 22 October 2014 ]. Write unit tests as cells of IPython notebooks. Tue 30 September 2014 ]. How to perform code review for scientific software. Thu 28 August 2014 ]. Tue 19 August 2014 ]. Thu 05 June 2014 ]. Thu 20 March 2014 ]. Tue 17...

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Run IPython Notebook on a HPC Cluster via PBS | Andrea Zonca's blog

http://zonca.github.io/2013/12/run-ipython-notebook-on-HPC-cluster-via-PBS.html

Run IPython Notebook on a HPC Cluster via PBS. Is a great tool for data exploration and visualization. It is suitable in particular for analyzing a large amount of data remotely on a computing node of a HPC cluster and visualize it in a browser that runs on a local machine. In this configuration, the interface is local, it is very responsive, but the amount of memory and CPU horsepower is provided by a HPC computing node. Once the script is running, it is possible to connect to. Wed 18 December 2013.

2

Joining San Diego Supercomputer Center | Andrea Zonca's blog

http://zonca.github.io/2013/12/joining-sandiego-supercomputer-center.html

Joining San Diego Supercomputer Center. Left UCSB after 4 years, got staff position at San Diego Supercomputer Center within UCSD, will be helping research groups analyze their data on Gordon and more. Still 20% on Planck. My work has been mainly focused on understanding and characterizing large amount of data using. On NERSC supercomputers. I was neither interested nor fit for a traditional academic career, and I was looking for a job that allowed me to focus on doing research/data analysis full time.

3

Software Carpentry setup for Chromebook | Andrea Zonca's blog

http://zonca.github.io/2015/02/software-carpentry-setup-chromebook.html

Software Carpentry setup for Chromebook. In this post I'll provide instructions on how to install the main requirements of a Software Carpentry workshop. On a Chromebook. Bash, git, IPython notebook and R. Switch the Chromebook to Developer mode. ChromeOS is very restrictive on what users can install on the machine. The only way to get around this is to switch to developer mode. Switching to Developer mode wipes. All the data on the local disk and may void warranty, do it at your own risk. You can read t...

4

Accelerate groupby operation on pixels with Numba | Andrea Zonca's blog

http://zonca.github.io/2015/03/numba-groupby-pixels.html

Accelerate groupby operation on pixels with Numba. Download the original IPython notebook. It is very common in Astrophysics to work with sky pixels. The sky is tassellated in patches with specific properties and a sky map is then a collection of intensity values for each pixel. The most common pixelization used in Cosmology is HEALPix. Measurements from telescopes are then represented as an array of pixels that encode the pointing of the instrument at each timestamp and the measurement output. Gets an i...

5

Write unit tests as cells of IPython notebooks | Andrea Zonca's blog

http://zonca.github.io/2014/09/unit-tests-ipython-notebook.html

Write unit tests as cells of IPython notebooks. To write unit tests as cells in IPython notebooks:. Homepage on Github: https:/ github.com/zonca/pytest-ipynb. PyPi : https:/ pypi.python.org/pypi/pytest-ipynb/. Many unit testing fromeworks in Python, first of all the. Package in the standard library, work very well for automating unit tests, but make it very difficult to debug interactively any failed test. Alleviates this problem by allowing to write just plain Python functions with. I wrote a plugin for.

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Do whatever you want when you want to. SSH学习笔记之- Key Challenge 如何工作.

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Nov 11, 2014. 应该说这是之前那篇文章的续吧,可惜那篇的 Markdown 格式的已经弄没了,附上 链接. Travis CI is a hosted continuous integration service. Travis CI's build environment provides different runtimes for different languages, for instance multiple versions of Ruby, PHP, Node.js. It also comes preinstalled with a variety of data stores and common tools like message brokers. Git clone git:/ github.com/username/bri.github.io-source $ mv remember.md path/to/content/ $ git add * $ git commit -m love you forever.

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Andrea Zonca's blog | Andrea Zonca's blog

Andrea Zonca: notes about Python, high performance computing, data analysis. Run Jupyterhub on a Supercomputer. Thu 02 April 2015 ]. Accelerate groupby operation on pixels with Numba. Tue 24 March 2015 ]. Software Carpentry setup for Chromebook. Tue 10 February 2015 ]. Wed 22 October 2014 ]. Write unit tests as cells of IPython notebooks. Tue 30 September 2014 ]. How to perform code review for scientific software. Thu 28 August 2014 ]. Tue 19 August 2014 ]. Thu 05 June 2014 ]. Thu 20 March 2014 ]. Tue 17...

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