Add Pydata Amsterdam 2020

pydata-amsterdam-2020/category.json

@@ -0,0 +1,3 @@
+{
+  "title": "PyData Amsterdam 2020"
+}

pydata-amsterdam-2020/videos/alyona-galyeva-human-like-visual-search-application-with-small-data-pydata-fest-amsterdam-2020.json

@@ -0,0 +1,36 @@
+{
+  "description": "PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases\nPart of an underrepresented group in tech? PyData Global is offering Diversity Scholarships. Applications close September 30th: https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform\n\nAlyona Galyeva - Human-like Visual Search Application with Small Data | PyData Fest Amsterdam 2020\n\nDuring the workshop we cover the building blocks of Siamese Mask R-CNN model and showcase its ability to detect and segment objects from novel categories based on a single reference image. Next,we try a single deployment. Lastly, we discuss possible limitations and improvements. At the end of the workshop, participants will have a basic understanding on how to prototype and deploy human-like visual search applications.\n\n\nwww.pydata.org\r\n\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\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": 5333,
+  "language": "eng",
+  "recorded": "2020-06-15",
+  "related_urls": [
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+      "label": "Conference Website",
+      "url": "https://datasciencedistrict.nl/pydata-festival-amsterda/"
+    },
+    {
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+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
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+      "url": "https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform"
+    },
+    {
+      "label": "https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases",
+      "url": "https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases"
+    }
+  ],
+  "speakers": [
+    "Alyona Galyeva"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/2l_WASP1_1A/maxresdefault.webp",
+  "title": "Human-like Visual Search Application with Small Data",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=2l_WASP1_1A"
+    }
+  ]
+}

pydata-amsterdam-2020/videos/andrew-therriault-designing-for-impact-in-civic-data-science-pydata-fest-amsterdam-2020.json

@@ -0,0 +1,36 @@
+{
+  "description": "PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases\nPart of an underrepresented group in tech? PyData Global is offering Diversity Scholarships. Applications close September 30th: https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform\n\nAndrew Therriault - Designing for Impact in Civic Data Science | PyData Fest Amsterdam 2020 \n\nOpen source developers create tools that are used by millions, often in ways that their creators never imagined. Open data programs share data for the same purpose, enabling others to discover insights and build applications to help understand and improve their communities. And yet while open source and open data have both grown rapidly over the past decades, successful data science projects combining the two are surprisingly hard to find.\n\nThis presentation, from the City of Boston\u2019s former Chief Data Officer, will dig into the question of why data science projects built on open data so often fall short of their potential, and give lessons for how to design projects that succeed. Participants will learn how open data programs work, see examples of innovative projects using open data, and hear about the unique challenges facing projects that seek to promote positive social change. We\u2019ll also discuss how technologists can better collaborate with the public sector, to match their work to the needs of governments and nonprofits and ensure that their efforts are put into practice.\n\nAndrew Therriault is a data scientist and educator based in Boston. He previously served as the City of Boston\u2019s Chief Data Officer and the Democratic Party\u2019s Director of Data Science, and currently teaches data science at Northeastern and Harvard. Therriault also serves as a data science and strategy consultant for clients ranging from government agencies and advocacy groups to research firms and technology startups, and holds a doctorate in political science from New York University.\n\n\nwww.pydata.org\r\n\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\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": 2075,
+  "language": "eng",
+  "recorded": "2020-06-15",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://datasciencedistrict.nl/pydata-festival-amsterda/"
+    },
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+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
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+    },
+    {
+      "label": "https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases",
+      "url": "https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases"
+    }
+  ],
+  "speakers": [
+    "Andrew Therriault"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/1ODnn5fs6Nw/maxresdefault.webp",
+  "title": "Designing for Impact in Civic Data Science",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=1ODnn5fs6Nw"
+    }
+  ]
+}

pydata-amsterdam-2020/videos/bertjan-broeksema-huib-keemink-exploring-railway-oriented-programming-in-python-pydata-fest.json

@@ -0,0 +1,37 @@
+{
+  "description": "PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases\nPart of an underrepresented group in tech? PyData Global is offering Diversity Scholarships. Applications close September 30th: https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform\nBertjan Broeksema & Huib Keemink - Exploring Railway Oriented Programming in Python | PyData Fest Amsterdam 2020\n\nAn ongoing question when developing software is: how to build reliable and correct software systems? Python applications are no exception to this question. We explore a different way of dealing with errors in your Python code. Instead of using try-except, we present the Railway Oriented Programming approach.\n\nThis approaches programming as a way of combining railway segments. In combination with type annotation, this leads to interesting possibilities for developing correct and testable applications in python. But: it also puts constraints on what should and shouldn\u2019t be done in those segments.\n\nWe have set ourselves the challenge to build the Railway pattern from scratch in Python. Follow us on this journey of implementing this pattern, and see where it leads us. Is it even uesful in Python? Does it solve any problems you might have?\n\nTo follow this talk, you do not need experience with functional programming. If you know your way around python functions, you will get an introduction to a common functional pattern without the lingo!\n\n\nwww.pydata.org\r\n\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\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": 1754,
+  "language": "eng",
+  "recorded": "2020-06-15",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://datasciencedistrict.nl/pydata-festival-amsterda/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
+    {
+      "label": "https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform",
+      "url": "https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform"
+    },
+    {
+      "label": "https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases",
+      "url": "https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases"
+    }
+  ],
+  "speakers": [
+    "Bertjan Broeksema",
+    "Huib Keemink"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/cKixdve3JGg/maxresdefault.webp",
+  "title": "Exploring Railway Oriented Programming in Python",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=cKixdve3JGg"
+    }
+  ]
+}

pydata-amsterdam-2020/videos/cheuk-ting-ho-open-source-in-the-eyes-of-a-minority-contributor-pydata-fest-amsterdam-2020.json

@@ -0,0 +1,36 @@
+{
+  "description": "PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases\nPart of an underrepresented group in tech? PyData Global is offering Diversity Scholarships. Applications close September 30th: https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform\n\nCheuk Ting Ho - Open-source in the eyes of a Minority Contributor | PyData Fest Amsterdam 2020\n\nIn the first part of this talk, I will talk about my personal experience in contributing to open-source. From learning how to make a Pull Request on GitHub to maintaining libraries. From attending my first meetup to co-organizing conferences. I will tell you what I observe as a self-identifying female. My opinion on certain events that happened. And what \u201chelp\u201d do we, minorities in the community, need.\n\nIn the second part of the talk, I will change to a more subjective angle to look at the diversity issues in the open-source community, especially in Python and Data Science communities. I will try to address what effort has been made and what more we can do. In the end, I will try to convince you all the be our ally and to do the right thing to make our community more inclusive and diverse.\n\n\nwww.pydata.org\r\n\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\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": 1647,
+  "language": "eng",
+  "recorded": "2020-06-15",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://datasciencedistrict.nl/pydata-festival-amsterda/"
+    },
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+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
+    {
+      "label": "https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform",
+      "url": "https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform"
+    },
+    {
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+      "url": "https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases"
+    }
+  ],
+  "speakers": [
+    "Cheuk Ting Ho"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/r3W-vcsQo80/maxresdefault.webp",
+  "title": "Open-source in the eyes of a Minority Contributor",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=r3W-vcsQo80"
+    }
+  ]
+}

pydata-amsterdam-2020/videos/chiel-peters-python-from-source-to-execution-pydata-fest-amsterdam-2020.json

@@ -0,0 +1,36 @@
+{
+  "description": "PyData is excited to announce PyData Global, November 11th - 15th! Tickets are now available: https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases\nPart of an underrepresented group in tech? PyData Global is offering Diversity Scholarships. Applications close September 30th: https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform\n\nChiel Peters - Python: From Source to Execution | PyData Fest Amsterdam 2020 \n\n\u201cBeautiful is better than ugly\u201d, \u201cSimple is better than complex\u201d and \u201cThere should be one\u2013 and preferably only one \u2013obvious way to do it.\u201d are a few statements from the Zen of Python. They explain the ideology behind the language: a simple, readable but yet powerful programming language. Over the years this has made it into one of the most popular languages in the world, especially within the field of AI.\n\nIn this talk, we will go into the internals of the language and see how source code is executed. Execution in (C)Python is a multi-stage process where source code is first parsed and compiled into an intermediate representation known as Python Byte Code (those .pyc files) before being fed into the interpreter. All of this happens behind the scenes every time you run a program. The presentation will explain each stage from a conceptual level and using practical examples.\n\nAt the end of the talk, the audience will have a better understanding of the internals of Python. They will be able to reason about optimizations within the language, but foremost be able to answer \u201cHow does it work?\u201d.\n\n\nwww.pydata.org\r\n\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\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": 1606,
+  "language": "eng",
+  "recorded": "2020-06-15",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://datasciencedistrict.nl/pydata-festival-amsterda/"
+    },
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+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
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+      "url": "https://docs.google.com/forms/d/e/1FAIpQLSfcFaTqVFjMa6kWlLPeEynEcbp1WrCxyxMGyyh4BP33eAviaA/viewform"
+    },
+    {
+      "label": "https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases",
+      "url": "https://global.pydata.org/pages/tickets.html#pricing-and-ticket-purchases"
+    }
+  ],
+  "speakers": [
+    "Chiel Peters"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/xfC5o8HxaBk/maxresdefault.webp",
+  "title": "Python: From Source to Execution",
+  "videos": [
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+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=xfC5o8HxaBk"
+    }
+  ]
+}