<commit_before>
.. _l-pydata2016:

PyData 06/14/2016 in Paris
==========================

.. sharenet::
    :facebook: 1
    :linkedin: 2
    :twitter: 3
    :head: False

Content
+++++++

**Main presentation**

* :ref:`10plottinglibrariesrst`

A couple of notebooks require to be run to see the results because
a naive conversion does not take into account javascript dependencies
(pythreejs, vega, brython) or does not work at all because
it involves a server (bqplot).

**Static libraries**

* :ref:`imbasemaprst`
* :ref:`imbiopythonrst`
* :ref:`imete3rst`
* :ref:`imlifelinesrst`
* :ref:`immatplotlibrst`
* :ref:`immissingnorst`
* :ref:`imnetworkxrst`
* :ref:`imreportlabrst`
* :ref:`imseabornrst`

**Interactive libraries**

* :ref:`jsbokehrst`
* :ref:`jslightningpythonrst`
* :ref:`jsmpld3rst`
* :ref:`jsplotlyrst`
* :ref:`jspydymassspringdamperrst`
* :ref:`jspygalrst`
* :ref:`jspythreejsrst`
* :ref:`jsvegarst`

**Pure javascript**

* :ref:`jsonlytreantrst`

**Big Data**

* :ref:`bigdatashaderrst`

**GUI**

* :ref:`guigeoplotlibrst`

**Mix between Python and Javascript**

* :ref:`pyjsbqplotrst`
* :ref:`pyjsbrythonrst`
* :ref:`pyjscvispyrst`

**Not covered by this presentation**

* `vaex <https://www.astro.rug.nl/~breddels/vaex/>`_: the speaker just after me and the library is able
  to cope with bug data at a very high scale<commit_msg>fix typo<commit_after>
.. _l-pydata2016:

PyData 06/14/2016 in Paris
==========================

.. sharenet::
    :facebook: 1
    :linkedin: 2
    :twitter: 3
    :head: False

Content
+++++++

**Main presentation**

* :ref:`10plottinglibrariesrst`

A couple of notebooks require to be run to see the results because
a naive conversion does not take into account javascript dependencies
(pythreejs, vega, brython) or does not work at all because
it involves a server (bqplot).

**Static libraries**

* :ref:`imbasemaprst`
* :ref:`imbiopythonrst`
* :ref:`imete3rst`
* :ref:`imlifelinesrst`
* :ref:`immatplotlibrst`
* :ref:`immissingnorst`
* :ref:`imnetworkxrst`
* :ref:`imreportlabrst`
* :ref:`imseabornrst`

**Interactive libraries**

* :ref:`jsbokehrst`
* :ref:`jslightningpythonrst`
* :ref:`jsmpld3rst`
* :ref:`jsplotlyrst`
* :ref:`jspydymassspringdamperrst`
* :ref:`jspygalrst`
* :ref:`jspythreejsrst`
* :ref:`jsvegarst`

**Pure javascript**

* :ref:`jsonlytreantrst`

**Big Data**

* :ref:`bigdatashaderrst`

**GUI**

* :ref:`guigeoplotlibrst`

**Mix between Python and Javascript**

* :ref:`pyjsbqplotrst`
* :ref:`pyjsbrythonrst`
* :ref:`pyjscvispyrst`

**Not covered by this presentation**

* `vaex <https://www.astro.rug.nl/~breddels/vaex/>`_: the speaker just after me and the library is able
  to cope with big data at a very high scale
{'fraction_non_alphanumeric': 0.16969247869581328, 'fraction_numerical': 0.014079288625416821, 'mean_word_length': 5.617647058823529, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 2, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2260042', 'n_tokens_mistral': 1093, 'n_tokens_neox': 1008, 'n_words': 242}