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    <dc:creator>amy</dc:creator><description><![CDATA[Deepnote is a new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud.]]></description>
<dc:subject>browser collaboration python Jupyter notebooks data_science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:87d0a577c36b/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:Jupyter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:notebooks"/>
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<item rdf:about="https://www.rubrix.ml/">
    <title>Rubrix</title>
    <dc:date>2021-06-26T14:13:53+00:00</dc:date>
    <link>https://www.rubrix.ml/</link>
    <dc:creator>amy</dc:creator><dc:subject>collaboration data-exploration Python tools machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:493bfe21b30f/</dc:identifier>
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<item rdf:about="https://cloud.google.com/blog/products/open-source/supporting-the-python-ecosystem">
    <title>Recommitting to the Python Software Foundation | Google Cloud Blog</title>
    <dc:date>2021-02-12T23:07:21+00:00</dc:date>
    <link>https://cloud.google.com/blog/products/open-source/supporting-the-python-ecosystem</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Third, the Google Cloud Public Datasets program is now the new home of a new public dataset of PyPI download statistics and PyPI project metadata, which we update in near-real-time. Anyone with a Google Cloud account can query these datasets with BigQuery, or with BigQuery sandbox, which offers up to 1TB/month of data queries for free. You can learn more about analyzing these datasets in this user guide.

]]></description>
<dc:subject>python big_data bigquery</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:5671b5a5bfce/</dc:identifier>
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<item rdf:about="https://github.com/google/jax">
    <title>GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more</title>
    <dc:date>2020-12-05T01:23:25+00:00</dc:date>
    <link>https://github.com/google/jax</link>
    <dc:creator>amy</dc:creator><description><![CDATA[JAX is Autograd and XLA, brought together for high-performance machine learning research.

With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order.

What’s new is that JAX uses XLA to compile and run your NumPy programs on GPUs and TPUs. Compilation happens under the hood by default, with library calls getting just-in-time compiled and executed. But JAX also lets you just-in-time compile your own Python functions into XLA-optimized kernels using a one-function API, jit. Compilation and automatic differentiation can be composed arbitrarily, so you can express sophisticated algorithms and get maximal performance without leaving Python. You can even program multiple GPUs or TPU cores at once using pmap, and differentiate through the whole thing.

Dig a little deeper, and you'll see that JAX is really an extensible system for composable function transformations. Both grad and jit are instances of such transformations. Others are vmap for automatic vectorization and pmap for single-program multiple-data (SPMD) parallel programming of multiple accelerators, with more to come.

This is a research project, not an official Google product. Expect bugs and sharp edges. Please help by trying it out, reporting bugs, and letting us know what you think!]]></description>
<dc:subject>machine_learning google python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:1988734804a5/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
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<item rdf:about="https://medium.com/plotly/introducing-jupyterdash-811f1f57c02e">
    <title>Introducing JupyterDash - Plotly - Medium</title>
    <dc:date>2020-06-15T18:45:44+00:00</dc:date>
    <link>https://medium.com/plotly/introducing-jupyterdash-811f1f57c02e</link>
    <dc:creator>amy</dc:creator><description><![CDATA[We’re excited to announce the release of JupyterDash, our new library that makes it easy to build Dash apps from Jupyter environments (e.g. classic Notebook, JupyterLab, Visual Studio Code notebooks, nteract, PyCharm notebooks, etc.).
Dash is Plotly’s open source Python (and R and Julia!) framework for building full stack analytic web applications using pure Python (no JavaScript required). Thanks to features like hot reloading and front-end error reporting provided by Dash DevTools, developers can quickly iterate on application designs using a traditional text editor or Integrated Development Environment (IDE). JupyterDash makes these features, and more, available from the Jupyter notebook.]]></description>
<dc:subject>python jupyter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:4a86f12b8324/</dc:identifier>
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<item rdf:about="https://spacy.io/">
    <title>spaCy · Industrial-strength Natural Language Processing in Python</title>
    <dc:date>2019-11-10T03:55:12+00:00</dc:date>
    <link>https://spacy.io/</link>
    <dc:creator>amy</dc:creator><dc:subject>nlp python library programming language machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:e38f31184a70/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
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<item rdf:about="https://pythonclock.org/">
    <title>Python 2.7 Countdown</title>
    <dc:date>2019-03-11T17:31:34+00:00</dc:date>
    <link>https://pythonclock.org/</link>
    <dc:creator>amy</dc:creator><dc:subject>amusements python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:8e2f54638960/</dc:identifier>
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<item rdf:about="https://github.com/google/python-fire">
    <title>google/python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.</title>
    <dc:date>2019-03-07T21:28:12+00:00</dc:date>
    <link>https://github.com/google/python-fire</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
]]></description>
<dc:subject>cli python library</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:086d99e74046/</dc:identifier>
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<item rdf:about="https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/#tensorflow">
    <title>Bayesian Methods for Hackers</title>
    <dc:date>2019-03-07T17:35:23+00:00</dc:date>
    <link>https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/#tensorflow</link>
    <dc:creator>amy</dc:creator><dc:subject>python statistics probability machine_learning tfp</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:96c3389f8ed9/</dc:identifier>
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<item rdf:about="https://github.com/jupyter4edu/jupyter-edu-book">
    <title>GitHub - jupyter4edu/jupyter-edu-book: Teaching and Learning with Jupyter</title>
    <dc:date>2019-01-05T20:02:10+00:00</dc:date>
    <link>https://github.com/jupyter4edu/jupyter-edu-book</link>
    <dc:creator>amy</dc:creator><dc:subject>reference Jupyter python data_science education</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:f95ab583200a/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:education"/>
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<item rdf:about="https://jupyter4edu.github.io/jupyter-edu-book/index.html">
    <title>Teaching and Learning with Jupyter</title>
    <dc:date>2019-01-05T20:01:06+00:00</dc:date>
    <link>https://jupyter4edu.github.io/jupyter-edu-book/index.html</link>
    <dc:creator>amy</dc:creator><dc:subject>jupyter python education</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:0a0dff71c2c3/</dc:identifier>
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<item rdf:about="https://blog.getpelican.com/">
    <title>Pelican Static Site Generator, Powered by Python</title>
    <dc:date>2018-12-01T01:56:02+00:00</dc:date>
    <link>https://blog.getpelican.com/</link>
    <dc:creator>amy</dc:creator><dc:subject>python blog</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:202d558de2aa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
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<item rdf:about="https://quiltdata.com/">
    <title>Quilt | Manage data like code</title>
    <dc:date>2018-09-17T21:10:23+00:00</dc:date>
    <link>https://quiltdata.com/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Create a library of data
Quilt versions and deploys data]]></description>
<dc:subject>data bigdata python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:c31f9f467381/</dc:identifier>
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<item rdf:about="https://papermill.readthedocs.io/en/latest/">
    <title>Welcome to papermill — papermill 0.1 documentation</title>
    <dc:date>2018-08-26T21:49:08+00:00</dc:date>
    <link>https://papermill.readthedocs.io/en/latest/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks.

Papermill lets you:

parameterize notebooks
execute and collect metrics across the notebooks
summarize collections of notebooks]]></description>
<dc:subject>python Jupyter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:d731c45593c8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:Jupyter"/>
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<item rdf:about="https://twitter.com/jakevdp/status/1027298136178319360?s=09">
    <title>Jake VanderPlas on Twitter: &quot;One of my favorite Python 3 builtins is functools.lru_cache(): with a simple decorator, repeated function calls become O(1) table lookups. https://t.co/ORphGWvkCz… https://t.co/xLMI8Hl9DY&quot;</title>
    <dc:date>2018-08-10T21:21:58+00:00</dc:date>
    <link>https://twitter.com/jakevdp/status/1027298136178319360?s=09</link>
    <dc:creator>amy</dc:creator><dc:subject>python tips</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:360900f2b172/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:tips"/>
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<item rdf:about="https://packaging.python.org/tutorials/packaging-projects/?t=1&amp;cn=ZmxleGlibGVfcmVjc18y&amp;refsrc=email&amp;iid=4db3361d03794a679590dc7e4c925582&amp;uid=2768241&amp;nid=244+272699400">
    <title>Packaging Python Projects — Python Packaging User Guide</title>
    <dc:date>2018-05-20T14:59:20+00:00</dc:date>
    <link>https://packaging.python.org/tutorials/packaging-projects/?t=1&amp;cn=ZmxleGlibGVfcmVjc18y&amp;refsrc=email&amp;iid=4db3361d03794a679590dc7e4c925582&amp;uid=2768241&amp;nid=244+272699400</link>
    <dc:creator>amy</dc:creator><description><![CDATA[<blockquote>
This tutorial walks you through how to package a simple Python project. It will show you how to add the necessary files and structure to create the package, how to build the package, and how to upload it to the Python Package Index.


</blockquote>]]></description>
<dc:subject>python</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:5a1123261f08/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
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<item rdf:about="http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html">
    <title>Choosing the right estimator — scikit-learn 0.19.1 documentation</title>
    <dc:date>2018-05-16T21:58:19+00:00</dc:date>
    <link>http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:f72160ec2b12/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
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</item>
<item rdf:about="https://speakerdeck.com/jakevdp/seven-strategies-for-optimizing-numerical-code">
    <title>Seven Strategies for Optimizing Numerical Code // Speaker Deck</title>
    <dc:date>2018-05-12T14:56:54+00:00</dc:date>
    <link>https://speakerdeck.com/jakevdp/seven-strategies-for-optimizing-numerical-code</link>
    <dc:creator>amy</dc:creator><dc:subject>python numpy optimization scipy</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:a521c02ebe86/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:numpy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:scipy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://altair-viz.github.io/">
    <title>Altair: Declarative Visualization in Python — Altair 2.0.0rc1 documentation</title>
    <dc:date>2018-04-05T16:03:07+00:00</dc:date>
    <link>https://altair-viz.github.io/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite.

]]></description>
<dc:subject>data_science python visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:0a77cc052e64/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:data_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/sina-al/pynlp">
    <title>sina-al/pynlp: A pythonic wrapper for Stanford CoreNLP. (under development)</title>
    <dc:date>2017-11-06T01:33:55+00:00</dc:date>
    <link>https://github.com/sina-al/pynlp</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A pythonic wrapper for Stanford CoreNLP. (under development)
]]></description>
<dc:subject>nlp python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:97b23b68d762/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
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</item>
<item rdf:about="https://github.com/kubernetes-incubator/client-python">
    <title>kubernetes-incubator/client-python: Official Python client library for kubernetes</title>
    <dc:date>2017-11-04T15:16:08+00:00</dc:date>
    <link>https://github.com/kubernetes-incubator/client-python</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Official Python client library for kubernetes http://kubernetes.io/
]]></description>
<dc:subject>python kubernetes k8s</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:f981ad73756b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:kubernetes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:k8s"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://nextjournal.com/">
    <title>Nextjournal</title>
    <dc:date>2017-09-30T14:35:54+00:00</dc:date>
    <link>https://nextjournal.com/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[hosted notebooks]]></description>
<dc:subject>python data_science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:20e135534d6b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:data_science"/>
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</item>
<item rdf:about="https://jakevdp.github.io/PythonDataScienceHandbook/">
    <title>Python Data Science Handbook | Python Data Science Handbook</title>
    <dc:date>2017-08-31T03:13:32+00:00</dc:date>
    <link>https://jakevdp.github.io/PythonDataScienceHandbook/</link>
    <dc:creator>amy</dc:creator><dc:subject>python data_science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:9441bc9f5e60/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:data_science"/>
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</item>
<item rdf:about="https://github.com/astroML/astroML">
    <title>astroML/astroML: Machine learning, statistics, and data mining for astronomy and astrophysics</title>
    <dc:date>2017-08-28T20:30:50+00:00</dc:date>
    <link>https://github.com/astroML/astroML</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Machine learning, statistics, and data mining for astronomy and astrophysics

Jake VanderPlas ]]></description>
<dc:subject>astronomy python machine_learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:69e58edd9511/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.astroml.org/">
    <title>astroML: Python Datamining for Astronomy — astroML 0.2 documentation</title>
    <dc:date>2017-08-28T20:30:06+00:00</dc:date>
    <link>http://www.astroml.org/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[AstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, matplotlib, and astropy, and distributed under the 3-clause BSD license. It contains a growing library of statistical and machine learning routines for analyzing astronomical data in Python, loaders for several open astronomical datasets, and a large suite of examples of analyzing and visualizing astronomical datasets.

The goal of astroML is to provide a community repository for fast Python implementations of common tools and routines used for statistical data analysis in astronomy and astrophysics, to provide a uniform and easy-to-use interface to freely available astronomical datasets. We hope this package will be useful to researchers and students of astronomy. If you have an example you’d like to share, we are happy to accept a contribution via a GitHub Pull Request: the code repository can be found at http://github.com/astroML/astroML.]]></description>
<dc:subject>astronomy python data_science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:6cfe6f934063/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:data_science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/getpelican/pelican/">
    <title>getpelican/pelican: Static site generator that supports Markdown and reST syntax. Powered by Python.</title>
    <dc:date>2017-07-21T17:49:59+00:00</dc:date>
    <link>https://github.com/getpelican/pelican/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Static site generator that supports Markdown and reST syntax. Powered by Python. http://getpelican.com/
]]></description>
<dc:subject>python blogging</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:3de516de3c91/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:blogging"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks">
    <title>A gallery of interesting Jupyter Notebooks · jupyter/jupyter Wiki · GitHub</title>
    <dc:date>2017-07-12T03:28:35+00:00</dc:date>
    <link>https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks</link>
    <dc:creator>amy</dc:creator><dc:subject>jupyter python examples github</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:f16b36768363/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:jupyter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:examples"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:github"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/jupyterlab/jupyterlab">
    <title>jupyterlab/jupyterlab: JupyterLab computational environment. This is a very early preview, and is not suitable for general usage yet.</title>
    <dc:date>2017-07-10T22:06:20+00:00</dc:date>
    <link>https://github.com/jupyterlab/jupyterlab</link>
    <dc:creator>amy</dc:creator><description><![CDATA[An extensible computational environment for Jupyter.

JupyterLab is a very early developer preview, and is not suitable for general usage yet. Features and implementation are subject to change.

With JupyterLab, you can create a computational environment for Jupyter that meets your workflow needs.]]></description>
<dc:subject>python data_science DataScience github</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:a42785dfea08/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:data_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:DataScience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:github"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://pydata.org/seattle2017/schedule/">
    <title>PyData Conference Schedule</title>
    <dc:date>2017-06-08T23:38:29+00:00</dc:date>
    <link>https://pydata.org/seattle2017/schedule/</link>
    <dc:creator>amy</dc:creator><dc:subject>python data_science DataScience machine_learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:566c7fecbea6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:data_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:DataScience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://matthewrocklin.com/blog/work/2017/01/17/dask-images">
    <title>Distributed NumPy on a Cluster with Dask Arrays</title>
    <dc:date>2017-06-07T19:21:41+00:00</dc:date>
    <link>http://matthewrocklin.com/blog/work/2017/01/17/dask-images</link>
    <dc:creator>amy</dc:creator><description><![CDATA[We analyze a stack of images in parallel with NumPy arrays distributed across a cluster of machines on Amazon’s EC2 with Dask array. This is a model application shared among many image analysis groups ranging from satellite imagery to bio-medical applications. We go through a series of common operations:

Inspect a sample of images locally with Scikit Image
Construct a distributed Dask.array around all of our images
Process and re-center images with Numba
Transpose data to get a time-series for every pixel, compute FFTs
This last step is quite fun. Even if you skim through the rest of this article I recommend checking out the last section.]]></description>
<dc:subject>distributed python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:d28ef9769855/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://scipy2017.scipy.org/ehome/index.php?eventid=220975&amp;">
    <title>Home | SciPy 2017 Conference</title>
    <dc:date>2017-04-28T22:07:56+00:00</dc:date>
    <link>https://scipy2017.scipy.org/ehome/index.php?eventid=220975&amp;</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Scientific Computing with Python
Austin, Texas • July 10-16, 2017]]></description>
<dc:subject>python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:2f2384f8a205/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/bear/python-twitter">
    <title>bear/python-twitter: A Python wrapper around the Twitter API.</title>
    <dc:date>2017-03-04T22:53:20+00:00</dc:date>
    <link>https://github.com/bear/python-twitter</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A Python wrapper around the Twitter API.
]]></description>
<dc:subject>api python twitter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:b86f8295b1bf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:api"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:twitter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://gorka.eguileor.com/python_gcs_client/">
    <title>Yay, another Google Cloud Storage Python Library – Homo programaticus</title>
    <dc:date>2017-02-03T00:40:23+00:00</dc:date>
    <link>https://gorka.eguileor.com/python_gcs_client/</link>
    <dc:creator>amy</dc:creator><dc:subject>gcp python gcs</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:1576b5a29f11/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:gcs"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://groups.google.com/a/continuum.io/forum/#!topic/conda/PiM9sjWyXFU">
    <title>conda requirements.txt equivalent? - Google Groups</title>
    <dc:date>2016-10-17T12:18:26+00:00</dc:date>
    <link>https://groups.google.com/a/continuum.io/forum/#!topic/conda/PiM9sjWyXFU</link>
    <dc:creator>amy</dc:creator><dc:subject>python conda</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:9ba2f29995a7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:conda"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.youtube.com/watch?v=eGRJbBI_H2w">
    <title>Cris Ewing - Keynote - PyCon 2016 - YouTube</title>
    <dc:date>2016-10-07T15:20:09+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=eGRJbBI_H2w</link>
    <dc:creator>amy</dc:creator><dc:subject>python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:17e16894b31b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
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</item>
<item rdf:about="http://nbviewer.jupyter.org/github/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/deepdream/deepdream.ipynb">
    <title>Jupyter Notebook Viewer</title>
    <dc:date>2016-06-25T01:17:57+00:00</dc:date>
    <link>http://nbviewer.jupyter.org/github/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/deepdream/deepdream.ipynb</link>
    <dc:creator>amy</dc:creator><description><![CDATA[<blockquote>
DeepDreaming with TensorFlow
</blockquote>]]></description>
<dc:subject>DeepLearning Python TensorFlow Jupyter</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:8635ecae174b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:DeepLearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:Python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:TensorFlow"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:Jupyter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://pytest.org/latest/usage.html">
    <title>Usage and Invocations</title>
    <dc:date>2016-04-14T19:33:08+00:00</dc:date>
    <link>https://pytest.org/latest/usage.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[pytest]]></description>
<dc:subject>python testing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:6d464eebf160/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:testing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.willmcginnis.com/2015/12/13/pyflink-getting-a-bit-more-complex/">
    <title>Getting more complicated with python and apache flink - Will's Noise</title>
    <dc:date>2016-01-25T00:04:28+00:00</dc:date>
    <link>http://www.willmcginnis.com/2015/12/13/pyflink-getting-a-bit-more-complex/</link>
    <dc:creator>amy</dc:creator><dc:subject>Python DataScience Mandelbrot Flink</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:03d6f7dc7c10/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:Python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:DataScience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:Mandelbrot"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:Flink"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://continuum.io/downloads">
    <title>Anaconda</title>
    <dc:date>2014-01-27T23:57:36+00:00</dc:date>
    <link>http://continuum.io/downloads</link>
    <dc:creator>amy</dc:creator><dc:subject>bigdata python pandas</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:f2c0d01b7683/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:pandas"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://jvns.ca/blog/2013/12/22/cooking-with-pandas/">
    <title>A pandas cookbook - Julia Evans</title>
    <dc:date>2014-01-06T00:50:10+00:00</dc:date>
    <link>http://jvns.ca/blog/2013/12/22/cooking-with-pandas/</link>
    <dc:creator>amy</dc:creator><dc:subject>python analysis data pandas</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:33b4f2d52822/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:pandas"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/essa/docker-gae-python">
    <title>essa/docker-gae-python</title>
    <dc:date>2014-01-02T05:05:43+00:00</dc:date>
    <link>https://github.com/essa/docker-gae-python</link>
    <dc:creator>amy</dc:creator><dc:subject>docker gae gcp python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:b7637ba72892/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:docker"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:gae"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:gcp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.meetup.com/PyLadies-ATX/events/150141252/">
    <title>January Meetup: Learning virtualenv &amp; pip - PyLadies ATX (Austin, TX) - Meetup</title>
    <dc:date>2013-12-29T23:47:57+00:00</dc:date>
    <link>http://www.meetup.com/PyLadies-ATX/events/150141252/</link>
    <dc:creator>amy</dc:creator><dc:subject>python austin</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:22150ba5a4ed/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:austin"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.billthelizard.com/2013/12/creating-twitter-bot-on-google-app.html">
    <title>Bill the Lizard: Creating a Twitter 'Bot on Google App Engine in Python</title>
    <dc:date>2013-12-28T02:03:04+00:00</dc:date>
    <link>http://www.billthelizard.com/2013/12/creating-twitter-bot-on-google-app.html</link>
    <dc:creator>amy</dc:creator><dc:subject>gae python twitter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:52e4732deacc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:gae"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:twitter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.youtube.com/watch?v=B97PK8PdbRE&amp;feature=youtu.be">
    <title>Becoming a Gopher: a Pythonista learning Go - YouTube</title>
    <dc:date>2013-10-15T18:37:12+00:00</dc:date>
    <link>http://www.youtube.com/watch?v=B97PK8PdbRE&amp;feature=youtu.be</link>
    <dc:creator>amy</dc:creator><description><![CDATA[RT @francesc: My interview to @BrianDorsey: "Becoming a Gopher: a Pythonista learning Go"
#golang #python
]]></description>
<dc:subject>python golang</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:e61fe6b6f372/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:golang"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://developers.google.com/appengine/articles/twilio">
    <title>SMS and Voice Integration With Twilio - Google App Engine — Google Developers</title>
    <dc:date>2013-08-26T07:56:01+00:00</dc:date>
    <link>https://developers.google.com/appengine/articles/twilio</link>
    <dc:creator>amy</dc:creator><dc:subject>python twilio gae</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:030bda97cd10/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:twilio"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:gae"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://libcloud.apache.org/">
    <title>Apache Libcloud Python library - Apache Libcloud is a standard Python library that abstracts away differences among multiple cloud provider APIs</title>
    <dc:date>2013-08-13T18:51:01+00:00</dc:date>
    <link>http://libcloud.apache.org/</link>
    <dc:creator>amy</dc:creator><dc:subject>api cloud deployment python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:0afd59788f4a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:api"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:cloud"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:deployment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://python-rq.org/">
    <title>RQ: Simple job queues for Python</title>
    <dc:date>2013-07-07T05:38:44+00:00</dc:date>
    <link>http://python-rq.org/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[redis-queue]]></description>
<dc:subject>python redis</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:d9a11e5f0f67/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:redis"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://2013.pycon-au.org/programme/schedule/friday">
    <title>Friday Schedule - PyCon Australia | July 5-7 2013 | Hobart, Tasmania</title>
    <dc:date>2013-07-01T04:48:37+00:00</dc:date>
    <link>http://2013.pycon-au.org/programme/schedule/friday</link>
    <dc:creator>amy</dc:creator><description><![CDATA[openstack miniconf]]></description>
<dc:subject>python australia</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:40b6826d52d6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:australia"/>
</rdf:Bag></taxo:topics>
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<item rdf:about="http://stackoverflow.com/questions/466345/converting-string-into-datetime">
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