Add PyData Paris 2016 videos

pydata-paris-2016/category.json

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+{
+  "description": "A conference for developers and users of Python data tools\n",
+  "title": "PyData Paris 2016"
+}

pydata-paris-2016/videos/pydata-paris-2016-automatic-machine-learning-using-python-scikit-learn.json

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+{
+  "description": "Automatic Machine Learning using Python & scikit-learn\nby Abhishek Thakur",
+  "duration": 975,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Abhishek Thakur"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/_EviCgtzG7E/hqdefault.jpg",
+  "title": "Automatic Machine Learning using Python & scikit-learn",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=_EviCgtzG7E"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-collecting-pydata-from-your-running-processes.json

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+{
+  "description": "Collecting PyData from Your Running Processes\nby Rafael Monnerat (Nexedi)",
+  "duration": 1346,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Rafael Monnerat"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/9_ipaz0jgDs/hqdefault.jpg",
+  "title": "Collecting PyData from Your Running Processes",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=9_ipaz0jgDs"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-how-apache-arrow-and-parquet-boost-cross-language-interop.json

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+{
+  "description": "How Apache Arrow and Parquet boost cross-language interop\nby Uwe L. Korn (Blue Yonder)",
+  "duration": 1722,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Uwe L. Korn"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/ZGIIsK3-aJY/hqdefault.jpg",
+  "title": "How Apache Arrow and Parquet boost cross-language interop",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=ZGIIsK3-aJY"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-joblib-toward-efficient-computing-from-laptop-to-cloud.json

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+{
+  "description": "Joblib: toward efficient computing from laptop to cloud\nby Alexandre Abadie (INRIA)",
+  "duration": 2347,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Alexandre Abadie"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/jmWjjHypOww/hqdefault.jpg",
+  "title": "Joblib: toward efficient computing from laptop to cloud",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=jmWjjHypOww"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-lightning-a-library-for-large-scale-machine-learning-in-python.json

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+{
+  "description": "Lightning, a library for large-scale machine learning in Python\nby Fabian Pedregosa",
+  "duration": 1222,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Fabian Pedregosa"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/mAMbgfEPxbQ/hqdefault.jpg",
+  "title": "Lightning, a library for large-scale machine learning in Python",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=mAMbgfEPxbQ"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-opening-up-the-french-tax-software.json

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+{
+  "description": "Opening up the French tax software, by Michel Blancard - Etalab",
+  "duration": 1330,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Emmanuel Raviart"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/kReO_rGfj4Q/hqdefault.jpg",
+  "title": "Opening up the French tax software",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=kReO_rGfj4Q"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-predictive-modeling-and-python-some-trends.json

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+{
+  "description": "Predictive Modeling and Python: some trends, by Olivier Grisel",
+  "duration": 3130,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Olivier Grisel"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/_dsa58obPgE/hqdefault.jpg",
+  "title": "Predictive Modeling and Python: some trends",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=_dsa58obPgE"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-prescriptive-analytics-with-docplex-and-pandas.json

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+{
+  "description": "Prescriptive Analytics with docplex and pandas, Hugues JUILLE (IBM)",
+  "duration": 3053,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Hugues JUILLE"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/rRVPK87ug7M/hqdefault.jpg",
+  "title": "Prescriptive Analytics with docplex and pandas",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=rRVPK87ug7M"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-python-and-big-data-a-good-match.json

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+{
+  "description": "Python and Big Data: a good match?\nby Pierrick Boitel (Affini-Tech)",
+  "duration": 1041,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Pierrick Boitel"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/lVmlTOdVRok/hqdefault.jpg",
+  "title": "Python and Big Data: a good match?",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=lVmlTOdVRok"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-python-to-report-in-one-command.json

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+{
+  "description": "Python to Report in one command, by Vicky Close",
+  "duration": 1645,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Vicky Close"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/JVXU-MkrLjk/hqdefault.jpg",
+  "title": "Python to Report in one command",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=JVXU-MkrLjk"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-round-table-how-to-become-a-data-scientist.json

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+{
+  "description": "Round table: \"How to become a data scientist\"",
+  "duration": 2023,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Various speakers"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/_h3o-FQ0HP0/hqdefault.jpg",
+  "title": "Round table: How to become a data scientist",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=_h3o-FQ0HP0"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-scikit-learn-for-text-mining-at-jurismarches.json

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+{
+  "description": "Scikit-learn for text mining at Jurismarch\u00e9, by Oussama Ahmia (Jurismarch\u00e9)",
+  "duration": 1688,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Oussama Ahmia"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/KNxH-lst5D4/hqdefault.jpg",
+  "title": "Scikit-learn for text mining at Jurismarch\u00e9s",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=KNxH-lst5D4"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-statistical-topic-extraction.json

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+{
+  "description": "Statistical Topic Extraction\nby Laurie Lugrin (idio)",
+  "duration": 2120,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Laurie Lugrin"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/Y4nE6diy72o/hqdefault.jpg",
+  "title": "Statistical Topic Extraction",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=Y4nE6diy72o"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-we-have-our-ways-extracting-and-analyzing-online-confessions.json

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+{
+  "description": "We Have Our Ways: Extracting and Analyzing Online Confessions, by Omer Yuksel",
+  "duration": 1512,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Omer Yuksel"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/ifMEee6GZCo/hqdefault.jpg",
+  "title": "We Have Our Ways: Extracting and Analyzing Online Confessions",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=ifMEee6GZCo"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-wendelin-from-stock-movements-to-pivot-tables-inside-jupyter.json

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+{
+  "description": "Wendelin: from stock movements to pivot tables inside Jupyter, by Douglas Camata (Nexedi)",
+  "duration": 1300,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Douglas Camata"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/N5BjmA0rihs/hqdefault.jpg",
+  "title": "Wendelin: from stock movements to pivot tables inside Jupyter",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=N5BjmA0rihs"
+    }
+  ]
+}

pydata-paris-2016/videos/pydata-paris-2016-why-scientific-python-rocks-simple-apis-and-innovative-documentation.json

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+{
+  "description": "Why Scientific Python rocks: simple APIs and innovative documentation, by Emmanuelle Gouillart",
+  "duration": 3564,
+  "recorded": "2016-06-14",
+  "speakers": [
+    "Emmanuelle Gouillart"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/khIOLAXQcVA/hqdefault.jpg",
+  "title": "Why Scientific Python rocks: simple APIs and innovative documentation",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=khIOLAXQcVA"
+    }
+  ]
+}