pyvideo · ELC · Jun 19, 2025
diff --git a/pydata-tel-avid-2022/category.json b/pydata-tel-avid-2022/category.json
@@ -0,0 +1,3 @@
+{
+  "title": "PyData Tel Avid 2022"
+}
diff --git a/...watzman-causal-machine-learning-whats-in-it-for-data-scientists-pydata-tel-aviv-2022.json b/...watzman-causal-machine-learning-whats-in-it-for-data-scientists-pydata-tel-aviv-2022.json
@@ -0,0 +1,55 @@
+{
+  "description": "Lightning Talk \n\n**Causal ML** brings ML practitioners exciting opportunities to go beyond correlation, with success stories in multiple big tech companies. However, being rooted in the theory of traditional Causal Inference, Causal ML is still less accessible to data scientists who are already juggling to master numerous sub-fields. In this talk we will walk a first step to bridge this gap, by exploring the rich landscape of Causal ML from the data scientist perspective, focusing on \u201cwhat\u2019s in it for us\u201d and which practical tools can be used.\n\nFollow PyData Tel Aviv on:\nhttps://www.meetup.com/PyData-Tel-Aviv/\nhttps://www.linkedin.com/company/17907513\nhttps://www.facebook.com/PyDataTLV\nhttps://twitter.com/PyDataTLV\n\nwww.pydata.org\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.",
+  "duration": 338,
+  "language": "eng",
+  "recorded": "2022-12-13",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/telaviv2022/"
+    },
+    {
+      "label": "https://www.meetup.com/PyData-Tel-Aviv/",
+      "url": "https://www.meetup.com/PyData-Tel-Aviv/"
+    },
+    {
+      "label": "https://twitter.com/PyDataTLV",
+      "url": "https://twitter.com/PyDataTLV"
+    },
+    {
+      "label": "https://www.linkedin.com/company/17907513",
+      "url": "https://www.linkedin.com/company/17907513"
+    },
+    {
+      "label": "https://www.facebook.com/PyDataTLV",
+      "url": "https://www.facebook.com/PyDataTLV"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/ZTfd-yzphU8/maxresdefault.jpg",
+  "title": "Adi Watzman: Causal Machine Learning \u2013 What\u2019s in it for Data Scientists? | PyData Tel Aviv 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=ZTfd-yzphU8"
+    }
+  ]
+}
diff --git a/...os/aleksander-molak-uri-itai-flexibility-general-average-for-ml-pydata-tel-aviv-2022.json b/...os/aleksander-molak-uri-itai-flexibility-general-average-for-ml-pydata-tel-aviv-2022.json
@@ -0,0 +1,59 @@
+{
+  "description": "From summarizing distributions to pooling operators and measuring the goodness of fit, averaging plays a unique and universally recognized role in the field of machine learning. In the talk we present Generalized Average (GA) - a continuous and fully differentiable average operator that allows for flexible interpolation between min, max and three different types of averages: arithmetic, geometric and harmonic. We share the results of two lines of experiments: (1) using GA in hyperparameter tuning for false-positive-averse cases (e.g. fraud detection) and (2) using GA as a pooling operator in Graph Attention Networks to improve the model\u2019s flexibility. Finally, we present an open-source Python package with our implementation of GA. The talk is addressed to machine learning practitioners, who are interested in enriching their toolbox.\n\nSlides: https://drive.google.com/file/d/1aESVbNFytU8gj3lCvxUx4YEuAVkPyfRD\n\nFollow PyData Tel Aviv on:\nhttps://www.meetup.com/PyData-Tel-Aviv/\nhttps://www.linkedin.com/company/17907513\nhttps://www.facebook.com/PyDataTLV\nhttps://twitter.com/PyDataTLV\n\nwww.pydata.org\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.",
+  "duration": 1884,
+  "language": "eng",
+  "recorded": "2022-12-13",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/telaviv2022/"
+    },
+    {
+      "label": "https://www.linkedin.com/company/17907513",
+      "url": "https://www.linkedin.com/company/17907513"
+    },
+    {
+      "label": "https://drive.google.com/file/d/1aESVbNFytU8gj3lCvxUx4YEuAVkPyfRD",
+      "url": "https://drive.google.com/file/d/1aESVbNFytU8gj3lCvxUx4YEuAVkPyfRD"
+    },
+    {
+      "label": "https://www.meetup.com/PyData-Tel-Aviv/",
+      "url": "https://www.meetup.com/PyData-Tel-Aviv/"
+    },
+    {
+      "label": "https://twitter.com/PyDataTLV",
+      "url": "https://twitter.com/PyDataTLV"
+    },
+    {
+      "label": "https://www.facebook.com/PyDataTLV",
+      "url": "https://www.facebook.com/PyDataTLV"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/R7R0-Fh2Tb8/maxresdefault.jpg",
+  "title": "Aleksander Molak & Uri Itai: Flexibility General Average for ML| PyData Tel Aviv 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=R7R0-Fh2Tb8"
+    }
+  ]
+}
diff --git a/.../anna-roitberg-distant-annotation-for-training-data-preparation-pydata-tel-aviv-2022.json b/.../anna-roitberg-distant-annotation-for-training-data-preparation-pydata-tel-aviv-2022.json
@@ -0,0 +1,59 @@
+{
+  "description": "Lightning Talk \n\nDistant Annotation (aka Distant Supervision) is an annotation method that allows training data to be labeled automatically. It has become the standard method for relation extraction tasks. The method utilizes an existing database, such as Freebase, Wikipedia, or a domain-specific database, to collect examples for the relations we want to extract.\n\nSlides: https://drive.google.com/file/d/1AkDFM5EK33XcXdZWa9QQyiKelbXwQ1wI\n\nFollow PyData Tel Aviv on:\nhttps://www.meetup.com/PyData-Tel-Aviv/\nhttps://www.linkedin.com/company/17907513\nhttps://www.facebook.com/PyDataTLV\nhttps://twitter.com/PyDataTLV\n\nwww.pydata.org\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.",
+  "duration": 308,
+  "language": "eng",
+  "recorded": "2022-12-13",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/telaviv2022/"
+    },
+    {
+      "label": "https://www.linkedin.com/company/17907513",
+      "url": "https://www.linkedin.com/company/17907513"
+    },
+    {
+      "label": "https://www.meetup.com/PyData-Tel-Aviv/",
+      "url": "https://www.meetup.com/PyData-Tel-Aviv/"
+    },
+    {
+      "label": "https://twitter.com/PyDataTLV",
+      "url": "https://twitter.com/PyDataTLV"
+    },
+    {
+      "label": "https://drive.google.com/file/d/1AkDFM5EK33XcXdZWa9QQyiKelbXwQ1wI",
+      "url": "https://drive.google.com/file/d/1AkDFM5EK33XcXdZWa9QQyiKelbXwQ1wI"
+    },
+    {
+      "label": "https://www.facebook.com/PyDataTLV",
+      "url": "https://www.facebook.com/PyDataTLV"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/teaAW18XeXI/maxresdefault.jpg",
+  "title": "Anna Roitberg: Distant Annotation for Training Data Preparation | PyData Tel Aviv 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=teaAW18XeXI"
+    }
+  ]
+}
diff --git a/...s/avishai-barnoy-deepcook-code-your-way-through-everyday-chores-pydata-tel-aviv-2022.json b/...s/avishai-barnoy-deepcook-code-your-way-through-everyday-chores-pydata-tel-aviv-2022.json
@@ -0,0 +1,59 @@
+{
+  "description": "Lightning Talk \n\nThis lecture will present a side project focused on automating a daily task I have been struggling with. I hate choosing what to eat, so I combined my coding hobby with some data I structured to build a dinner-idea suggestion system. I designed the features I needed and learned how to structure a code in a readable way. By structuring the code in an extensible way I made it easier to extend the program to new interfaces, right now having both a CLI and a Streamlit web app that use the same core functions.\n\nSlides: https://docs.google.com/presentation/d/13rES1eqhc4ejmPzoxt36M9bITnWKDdgm\n\nFollow PyData Tel Aviv on:\nhttps://www.meetup.com/PyData-Tel-Aviv/\nhttps://www.linkedin.com/company/17907513\nhttps://www.facebook.com/PyDataTLV\nhttps://twitter.com/PyDataTLV\n\nwww.pydata.org\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.",
+  "duration": 305,
+  "language": "eng",
+  "recorded": "2022-12-13",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/telaviv2022/"
+    },
+    {
+      "label": "https://www.linkedin.com/company/17907513",
+      "url": "https://www.linkedin.com/company/17907513"
+    },
+    {
+      "label": "https://www.meetup.com/PyData-Tel-Aviv/",
+      "url": "https://www.meetup.com/PyData-Tel-Aviv/"
+    },
+    {
+      "label": "https://twitter.com/PyDataTLV",
+      "url": "https://twitter.com/PyDataTLV"
+    },
+    {
+      "label": "https://docs.google.com/presentation/d/13rES1eqhc4ejmPzoxt36M9bITnWKDdgm",
+      "url": "https://docs.google.com/presentation/d/13rES1eqhc4ejmPzoxt36M9bITnWKDdgm"
+    },
+    {
+      "label": "https://www.facebook.com/PyDataTLV",
+      "url": "https://www.facebook.com/PyDataTLV"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/OJPgN_ce23U/maxresdefault.jpg",
+  "title": "Avishai Barnoy: DeepCook: Code Your Way Through Everyday Chores | PyData Tel Aviv 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=OJPgN_ce23U"
+    }
+  ]
+}
diff --git a/...tel-avid-2022/videos/aviv-zaken-simple-data-processing-pipeline-pydata-tel-aviv-2022.json b/...tel-avid-2022/videos/aviv-zaken-simple-data-processing-pipeline-pydata-tel-aviv-2022.json
@@ -0,0 +1,59 @@
+{
+  "description": "Lightning Talk \n\nIntroducing a technique from the DevOps world for configuring pipelines for processing data of various (and different) formats, characteristics and noise in a generic and easy way.\n\nFollow PyData Tel Aviv on:\nhttps://www.meetup.com/PyData-Tel-Aviv/\nhttps://www.linkedin.com/company/17907513\nhttps://www.facebook.com/PyDataTLV\nhttps://twitter.com/PyDataTLV\n\nSlides: https://drive.google.com/file/d/152H7rWuzOQz23gfG13q6AVJ8JIf6pW1T\n\nwww.pydata.org\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.",
+  "duration": 266,
+  "language": "eng",
+  "recorded": "2022-12-13",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/telaviv2022/"
+    },
+    {
+      "label": "https://www.linkedin.com/company/17907513",
+      "url": "https://www.linkedin.com/company/17907513"
+    },
+    {
+      "label": "https://www.meetup.com/PyData-Tel-Aviv/",
+      "url": "https://www.meetup.com/PyData-Tel-Aviv/"
+    },
+    {
+      "label": "https://twitter.com/PyDataTLV",
+      "url": "https://twitter.com/PyDataTLV"
+    },
+    {
+      "label": "https://drive.google.com/file/d/152H7rWuzOQz23gfG13q6AVJ8JIf6pW1T",
+      "url": "https://drive.google.com/file/d/152H7rWuzOQz23gfG13q6AVJ8JIf6pW1T"
+    },
+    {
+      "label": "https://www.facebook.com/PyDataTLV",
+      "url": "https://www.facebook.com/PyDataTLV"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/kHLZR_qvluk/maxresdefault.jpg",
+  "title": "Aviv Zaken: Simple Data Processing Pipeline | PyData Tel Aviv 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=kHLZR_qvluk"
+    }
+  ]
+}
diff --git a/.../cheuk-ting-ho-i-hate-writing-tests-that-s-why-i-use-hypothesis-pydata-tel-aviv-2022.json b/.../cheuk-ting-ho-i-hate-writing-tests-that-s-why-i-use-hypothesis-pydata-tel-aviv-2022.json
@@ -0,0 +1,55 @@
+{
+  "description": "In this talk, we will explore what is property-based testing and why it can do a lot of heavy lifting in writing tests for us. As a contributor, I will introduce Hypothesis, a Python library that can help perform property-based tests with ease.\n\nAt the start of the talk, we will understand the power of property-based tests, what is it, how is it different from what we \u201cnormally do\u201d - testing by example, and why is it useful in testing our code. This will be followed by demonstrations using Hypothesis. With a few examples, we will have a glimpse of how to create strategies - recipes for describing the test data you want to generate.\n\nAfter that, we will also explore the Ghostwriters in Hypothesis which will actually write the test for you.\n\nThis talk is for Pythonistas who are new to property-based testing and found thinking of what parameters to use for testing a difficult task. This talk may provide them with a new approach to writing tests, which will be more efficient for some cases.\n\nFollow PyData Tel Aviv on:\nhttps://www.meetup.com/PyData-Tel-Aviv/\nhttps://www.linkedin.com/company/17907513\nhttps://www.facebook.com/PyDataTLV\nhttps://twitter.com/PyDataTLV\n\nwww.pydata.org\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.",
+  "duration": 1794,
+  "language": "eng",
+  "recorded": "2022-12-13",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/telaviv2022/"
+    },
+    {
+      "label": "https://www.meetup.com/PyData-Tel-Aviv/",
+      "url": "https://www.meetup.com/PyData-Tel-Aviv/"
+    },
+    {
+      "label": "https://twitter.com/PyDataTLV",
+      "url": "https://twitter.com/PyDataTLV"
+    },
+    {
+      "label": "https://www.linkedin.com/company/17907513",
+      "url": "https://www.linkedin.com/company/17907513"
+    },
+    {
+      "label": "https://www.facebook.com/PyDataTLV",
+      "url": "https://www.facebook.com/PyDataTLV"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/__DfM6R4nVs/maxresdefault.jpg",
+  "title": "Cheuk Ting Ho: I Hate writing Tests, That's Why I Use Hypothesis | PyData Tel Aviv 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=__DfM6R4nVs"
+    }
+  ]
+}