Add Pydata Eindhoven 2020

pydata-eindhoven-2020/category.json

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+{
+  "title": "PyData Eindhoven 2020"
+}

pydata-eindhoven-2020/videos/adam-grzywaczewski-rapids-how-to-accelerate-your-data-science-pipeline-by-orders-of-magnitude.json

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+{
+  "description": "PyData Eindhoven 2020\n\nThis talk will discuss the RAPIDS suite of open source software libraries which give you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs. Because its API was deliberately designed to be consistent with existing data science utilities (e.g. Pandas DataFrame, SciKit Learn) its integration in majority of cases is limited to only several lines of code change.\n===\nwww.pydata.org\r\n\r\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \r\n\r\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 2014,
+  "language": "eng",
+  "recorded": "2020-10-07",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/eindhoven2020/schedule/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "Adam Grzywaczewski"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/6XzS5XcpicM/maxresdefault.webp",
+  "title": "RAPIDS: How to accelerate your data science pipeline by orders of magnitude",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=6XzS5XcpicM"
+    }
+  ]
+}

pydata-eindhoven-2020/videos/avik-sengupta-productivity-and-performance-in-one-programming-language-a-tour-of-julia.json

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+{
+  "description": "PyData Eindhoven 2020\n\nThis talk answers the question: What makes Julia unique? We explore the design innovations that make Julia stand out from other languages of its generation. We discuss areas where it matters, and how it helps programmers in a wide range of domains. We will see examples of these features making a difference in real life use cases, from finance to biotech to scientific machine learning.\n\n===\nwww.pydata.org\r\n\r\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \r\n\r\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 1775,
+  "language": "eng",
+  "recorded": "2020-10-07",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/eindhoven2020/schedule/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "Avik Sengupta"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/tkK4zhuAJms/maxresdefault.webp",
+  "title": "Productivity and performance in one programming language - A tour of Julia",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=tkK4zhuAJms"
+    }
+  ]
+}

pydata-eindhoven-2020/videos/corinne-vigreux-interview-about-codam-coding-college-pydata-eindhoven-2020.json

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+{
+  "description": "www.pydata.org\r\n\r\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \r\n\r\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 1713,
+  "language": "eng",
+  "recorded": "2020-10-07",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/eindhoven2020/schedule/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "Corinne Vigreux"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/zAs8EMmvG94/maxresdefault.webp",
+  "title": "Interview about Codam Coding College",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=zAs8EMmvG94"
+    }
+  ]
+}

pydata-eindhoven-2020/videos/daan-de-bruin-fighting-covid-with-python-pydata-eindhoven-2021.json

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+{
+  "description": "www.pydata.org\r\n\r\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \r\n\r\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 2055,
+  "language": "eng",
+  "recorded": "2020-10-07",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/eindhoven2020/schedule/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "Daan de Bruin"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/yhrPTiN7Cjw/maxresdefault.webp",
+  "title": "Fighting COVID with Python",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=yhrPTiN7Cjw"
+    }
+  ]
+}

pydata-eindhoven-2020/videos/damiaan-zwietering-building-a-coronaradar-pydata-eindhoven-2020.json

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+{
+  "description": "Having extensive data mining experience but limited Python knowledge I fired up a notebook and started digging into COVID case data from EU CDC. A couple of months later, after visualization, curve fitting, modeling and mapping I developed a coronaradar showing and projecting the spread of infections across the world. Let's have a look together at what I did, no slides, just live code.\n\n===\nwww.pydata.org\r\n\r\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \r\n\r\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 3922,
+  "language": "eng",
+  "recorded": "2020-10-07",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/eindhoven2020/schedule/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "Damiaan Zwietering"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/pW-YYRNeyhA/maxresdefault.webp",
+  "title": "Building a coronaradar",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=pW-YYRNeyhA"
+    }
+  ]
+}

pydata-eindhoven-2020/videos/damian-andrew-tamburri-radon-devops-framework-to-optimally-exploit-serverless-computing-tech.json

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+{
+  "description": "RADON: DevOps framework to optimally exploit serverless computing technologies\n\n===\nwww.pydata.org\r\n\r\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \r\n\r\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 2076,
+  "language": "eng",
+  "recorded": "2020-10-07",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/eindhoven2020/schedule/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "Damian Andrew Tamburri"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/Jl2s9Emf5JI/maxresdefault.webp",
+  "title": "RADON: DevOps framework to optimally exploit serverless computing technologies",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=Jl2s9Emf5JI"
+    }
+  ]
+}

pydata-eindhoven-2020/videos/daniel-lee-stan-why-does-it-exist-when-is-it-useful-why-do-i-use-it-pydata-eindhoven-2020.json

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+{
+  "description": "Stan (https://mc-stan.org) is one of the most popular probabilistic programming languages. This talk will be a high-level talk covering 3 things: why Stan exists, when it's useful, and why I use it (with an example).\n\n===\nwww.pydata.org\r\n\r\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \r\n\r\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 1699,
+  "language": "eng",
+  "recorded": "2020-10-07",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/eindhoven2020/schedule/"
+    },
+    {
+      "label": "https://mc-stan.org",
+      "url": "https://mc-stan.org"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "Daniel Lee"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/SBmqnd1W_iA/maxresdefault.webp",
+  "title": "Stan: why does it exist? when is it useful? why do I use it?",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=SBmqnd1W_iA"
+    }
+  ]
+}

pydata-eindhoven-2020/videos/dennis-ramondt-monitoring-a-tv-streaming-service-with-ai-from-pagerank-to-graph-convolutions.json

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+{
+  "description": "PyData Eindhoven 2020\n\nLiberty Global's digital TV platform is a complex graph-based IT system that needs to be constantly monitored to prevent downtime. Anomaly detection and graph analytics support engineers with timely problem identification. We show how we evolve graph deep learning methods such as node embedding and message passing from unsupervised to semi-supervised as root causes are gradually being labeled.\n\n===\nwww.pydata.org\r\n\r\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \r\n\r\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 1981,
+  "language": "eng",
+  "recorded": "2020-10-07",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/eindhoven2020/schedule/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "Dennis Ramondt"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/_Avui3hkOVA/maxresdefault.webp",
+  "title": "Monitoring a TV streaming service with AI - from PageRank to graph convolutions",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=_Avui3hkOVA"
+    }
+  ]
+}

pydata-eindhoven-2020/videos/dr-ir-e-taskesen-improving-the-data-understanding-part-by-graphical-hypergeometric-networks.json

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+{
+  "description": "PyData Eindhoven 2021\n\nA challenge in real-world data is, among others, the data understanding part. We propose graphical hypergeometric networks (HNet), a method where associations across variables are tested for significance by statistical inference. HNet learns the Association from datasets with mixed datatypes and with unknown function.\n\n===\nwww.pydata.org\r\n\r\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \r\n\r\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 2021,
+  "language": "eng",
+  "recorded": "2020-10-07",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/eindhoven2020/schedule/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "E. Taskesen"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/0TXdnSPSzZ4/maxresdefault.webp",
+  "title": "Improving the data understanding part by graphical hypergeometric networks",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=0TXdnSPSzZ4"
+    }
+  ]
+}