$LAYYYTER
he wasn't even looking at me and he found me
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Monterey Bay Aquarium
Lint Roller? I Barely Know Her
Kiana Khansmith
PR's Tumblrdome
Not today Justin
KIROKAZE
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oozey mess
Today's Document
Janaina Medeiros
Keni
RMH
blake kathryn
JBB: An Artblog!
@theartofmadeline
JVL
#extradirty
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@uwsccl-blog
dimplej
dimple - A simple charting API for d3 data visualisations | | | | | | | | | | | dimple - A simple charting API for d3 data visualisations dimple.js is a powerful and flexible open-source charting API for d3 letting you quickly and easily create and c... | | | |
BHC?
libgtkflow - Flowgraphs for Gtk+3
VQMT: Video Quality Measurement Tool. This software provides fast implementations of the following objective image quality metrics: PSNR, SSIM, MS-SSIM, VIFp, PSNR-HVS and PSNR-HVS-M.
Communicating ideas that combine code, data and visualizations can be hard, especially if you're trying to collaborate in realtime with your colleagues. Whether you're a researcher studying Wikipedia, an astronomer investigating the movements of galaxies in our cosmic neighborhood or a data-scientist at fashion retailer Stitch Fix, producing insights from data and sharing is a common challenge. Jupyter notebooks solve this problem by making it easy to capture data-driven workflows that combine code, equations, text and visualizations and share them with others. From today Jupyter notebooks render in all their glory right here on GitHub. With Git Large File Storage and Jupyter notebook support, GitHub has never been a better place to version and collaborate on data-intensive workflows. With more 200,000 Jupyter notebooks already on GitHub we're excited to level-up the GitHub-Jupyter experience. Looking to get started? Simply commit a .ipynb file to a new or existing repository to view the rendered notebook. Alternatively if you're looking for some inspiration then check out this incredible gallery of Jupyter notebooks.
“Andy Warhol: ‘Campbell’s Soup Cans’ and Other Works, 1953-1967” presents the artist’s work in a similar display as his first solo painting exhibition.
Posts about tune2fs written by Kerri Robberts
When you create any new EBS volume (General Purpose (SSD), Provisioned IOPS (SSD), or Magnetic) or restore a volume from a snapshot, the back-end storage blocks are allocated to you immediately. However, the first time you access a block of storage, it must be either wiped clean (for new volumes) or instantiated from its snapshot (for restored volumes) before you can access the block. This preliminary action takes time and can cause a 5 to 50 percent loss of IOPS for your volume the first time each block is accessed. For most applications, amortizing this cost over the lifetime of the volume is acceptable. Performance is restored after the data is accessed once.
Crittercism has analyzed data from over 1B+ users to provide mobile performance benchmarks, see how your apps hold up!
metricproxy - A proxy to buffer and forward time series data
part of https://github.com/signalfx