Add Scipy 2023 (#1269)

* Scraped scipy-2023

Fixes #xxx

Event config:
~~~yaml
repo_dir: W:\Repositories\pyvideo-data

# Copy the event template here and adapt to the event parameters

# Only repo_dir: and events: are loaded

# =============================================================================
events:
  # - title: SciPy 2024
  #   dir: scipy-2024
  #   youtube_list:
  #     - https://www.youtube.com/playlist?list=PL1PbeFStIOoO7rDLs431H-rn0h24Wr80S
  #   related_urls:
  #     - label: Conference Website
  #       url: https://www.scipy2024.scipy.org/
  #   language: eng
  #   dates:
  #     begin: 2024-07-08
  #     end: 2024-07-14
  #     default: 2024-07-08
  #   minimal_download: false
  #   issue: xxx
  #   overwrite:
  #     # all: true # takes precedence over add_new_files and existing_files_fields
  #     add_new_files: true
  #     existing_files_fields:
  #       - duration
  #       - thumbnail_url
  #       - videos
  #       - description
  #       - language
  #       - recorded
  #       - related_urls
  #       - speakers
  #       - tags
  #       - title
  #   tags:

  - title: SciPy 2023
    dir: scipy-2023
    youtube_list:
      - https://www.youtube.com/playlist?list=PL1PbeFStIOoOd01KhBeba-byU5E5dJ716
    related_urls:
      - label: Conference Website
        url: https://www.scipy2023.scipy.org/
    language: eng
    dates:
      begin: 2023-07-10
      end: 2023-07-16
      default: 2023-07-10
    minimal_download: false
    issue: xxx
    overwrite:
      # all: true # takes precedence over add_new_files and existing_files_fields
      add_new_files: true
      existing_files_fields:
        - duration
        - thumbnail_url
        - videos
        - description
        - language
        - recorded
        - related_urls
        - speakers
        - tags
        - title
    tags:

  - title: SciPy 2022
    dir: scipy-2022
    youtube_list:
      - https://www.youtube.com/playlist?list=PLYx7XA2nY5Gf17YzD7fo1usc0MUNgPdfk
    related_urls:
      - label: Conference Website
        url: https://www.scipy2022.scipy.org/
    language: eng
    dates:
      begin: 2022-07-11
      end: 2022-07-17
      default: 2022-07-11
    minimal_download: false
    issue: xxx
    overwrite:
      # all: true # takes precedence over add_new_files and existing_files_fields
      add_new_files: true
      existing_files_fields:
        - duration
        - thumbnail_url
        - videos
        - description
        - language
        - recorded
        - related_urls
        - speakers
        - tags
        - title
    tags:

  - title: SciPy 2021
    dir: scipy-2021
    youtube_list:
      - https://www.youtube.com/playlist?list=PLYx7XA2nY5GcHvLpOu8RPWvXgiOOickoZ
    related_urls:
      - label: Conference Website
        url: https://www.scipy2021.scipy.org/
    language: eng
    dates:
      begin: 2021-07-12
      end: 2021-07-18
      default: 2021-07-12
    minimal_download: false
    issue: xxx
    overwrite:
      # all: true # takes precedence over add_new_files and existing_files_fields
      add_new_files: true
      existing_files_fields:
        - duration
        - thumbnail_url
        - videos
        - description
        - language
        - recorded
        - related_urls
        - speakers
        - tags
        - title
    tags:

  - title: Scipy Japan 2020
    dir: scipy-jp-2020
    youtube_list:
      - https://www.youtube.com/playlist?list=PLYx7XA2nY5GeNICqOVh5iXVFw51fNsFHt
    related_urls:
      - label: Conference Website
        url: https://www.scipyjapan.scipy.org/
    language: eng
    dates:
      begin: 2020-10-30
      end: 2020-11-02
      default: 2020-10-30
    minimal_download: false
    issue: xxx
    overwrite:
      # all: true # takes precedence over add_new_files and existing_files_fields
      add_new_files: true
      existing_files_fields:
        - duration
        - thumbnail_url
        - videos
        - description
        - language
        - recorded
        - related_urls
        - speakers
        - tags
        - title
    tags:

  - title: EuroSciPy 2023
    dir: euroscipy-2023
    youtube_list:
      - https://www.youtube.com/playlist?list=PL55N1lsytpbc6gSICmGCkTB46VQ4S5rGV
    related_urls:
      - label: Conference Website
        url: https://web.archive.org/web/20241120213156/https://euroscipy.org/2023/
    language: eng
    dates:
      begin: 2023-08-14
      end: 2023-08-18
      default: 2023-08-14
    minimal_download: false
    issue: xxx
    overwrite:
      # all: true # takes precedence over add_new_files and existing_files_fields
      add_new_files: true
      existing_files_fields:
        - duration
        - thumbnail_url
        - videos
        - description
        - language
        - recorded
        - related_urls
        - speakers
        - tags
        - title
    tags:

# ISO_639-3 language codes https://en.wikipedia.org/wiki/ISO_639-3

# languages = {
#     'ita': 'Italian',
#     'zho': 'Chinese',
#     'por': 'Portuguese',
#     'ukr': 'Ukrainian',
#     'deu': 'German',
#     'eng': 'English',
#     'rus': 'Russian',
#     'fra': 'French',
#     'spa': 'Spanish',
#     'eus': 'Basque',
#     'cat': 'Catalan',
#     'glg': 'Galician',
#     'kor': 'Korean',
#     'lit': 'Lithuanian',
#     'jpn': 'Japanese',
#     'ces': 'Czech',
#     'pol': 'Polish',
#     'heb': 'Hebrew',
#     'tha': 'Thai',
# }

~~~

Scraped with [pyvideo_scrape](https://github.com/pyvideo/pyvideo_scrape)

* chore: remove tags and fix unicode escaped characters

* chore: add speaker information

* fix(videos): update titles for plenary sessions

- Change title for SciPy Tools Plenary Day 1 to include the day.
- Change title for SciPy Tools Plenary Day 3 to include the day.

* Move common conference description to category.json

---------

Co-authored-by: Jon Banafato <[email protected]>

Author: ELC

scipy-2023/category.json

@@ -0,0 +1,4 @@
+{
+  "title": "SciPy 2023",
+  "description": "SciPy is a community dedicated to the advancement of scientific computing through open source Python software for mathematics, science, and engineering. The annual SciPy Conference allows participants from all types of organizations to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. SciPy is organized by NumFOCUS, a 501(c)(3) nonprofit organization that promotes open source scientific computing."
+}

scipy-2023/videos/aaron-meurer-toward-array-interoperability-in-the-scientific-python-ecosystem-scipy-2023.json

@@ -0,0 +1,28 @@
+{
+  "description": "The array API standard (https://data-apis.org/array-api/) is a common specification for Python array libraries, such as NumPy, PyTorch, CuPy, Dask, and JAX.\n\nThis standard will make it straightforward for array-consuming libraries, like scikit-learn and SciPy, to write code that uniformly supports all of these libraries. This will allow, for instance, running the same code on the CPU and GPU.\n\nThis talk will cover the scope of the array API standard, supporting tooling which includes a library-independent test suite and compatibility layer, what work has been completed so far, and the plans going forward.",
+  "duration": 1794,
+  "language": "eng",
+  "recorded": "2023-07-10",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.scipy2023.scipy.org/"
+    },
+    {
+      "label": "https://data-apis.org/array-api/",
+      "url": "https://data-apis.org/array-api/"
+    }
+  ],
+  "speakers": [
+    "Aaron Meurer"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi/16rB-fosAWw/maxresdefault.jpg",
+  "title": "Toward Array Interoperability in the Scientific Python Ecosystem",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=16rB-fosAWw"
+    }
+  ]
+}

scipy-2023/videos/abby-mitchell-effective-open-source-community-management-in-quantum-computing-scipy-2023.json

@@ -0,0 +1,24 @@
+{
+  "description": "Qiskit is an open-source SDK for quantum computers, enabling developers to work with these powerful machines using a familiar python interface. First released in 2017, Qiskit has become the most popular package for quantum computing (Unitary Fund, 2022), with a thriving open-source community. As Qiskit has grown and changed, so has our approach to nurturing our community. This talk will share important lessons we’ve learnt over the years, including practical tips you can apply to your own projects. Whether you’re just starting in open-source or already manage an established community, this talk is for you!",
+  "duration": 1880,
+  "language": "eng",
+  "recorded": "2023-07-10",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.scipy2023.scipy.org/"
+    }
+  ],
+  "speakers": [
+    "Abby Mitchell"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi/tEv7N6D2kO4/maxresdefault.jpg",
+  "title": "Effective Open Source Community Management in Quantum Computing",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=tEv7N6D2kO4"
+    }
+  ]
+}

scipy-2023/videos/allen-downey-long-tailed-distributions-in-the-natural-and-engineered-world-scipy-2023.json

@@ -0,0 +1,24 @@
+{
+  "description": "Long-tailed distributions are common in natural and engineered systems; as a result, we encounter extreme values more often than we would expect from a short-tailed distribution. If we are not prepared for these \"black swans\", they can be disastrous.\n\nBut we have statistical tools for identifying long-tailed distributions, estimating their parameters, and making better predictions about rare events.\n\nIn this talk, I present evidence of long-tailed distributions in a variety of datasets -- including earthquakes, asteroids, and stock market crashes -- discuss statistical methods for dealing with them, and show implementations using scientific Python libraries.",
+  "duration": 1826,
+  "language": "eng",
+  "recorded": "2023-07-10",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.scipy2023.scipy.org/"
+    }
+  ],
+  "speakers": [
+    "Allen Downey"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi/-rE3DfeZ_jE/maxresdefault.jpg",
+  "title": "Long-tailed distributions in the natural and engineered world",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=-rE3DfeZ_jE"
+    }
+  ]
+}

scipy-2023/videos/amanda-casari-thar-be-dragons-ethical-legal-and-policy-challenges-when-measuring-open-source.json

@@ -0,0 +1,24 @@
+{
+  "description": "Open source researchers are increasingly challenged while navigating the data which open source communities inherently create when working in the open. While mining software repositories for insights into open source practices isn't new, moving beyond code analysis into ecosystems-level research does not have a clear path. This talk will outline the current ethical, legal, and policy challenges community leaders, as well as researchers in academia and industry face and the ambiguous areas decision makers should be aware of.",
+  "duration": 1785,
+  "language": "eng",
+  "recorded": "2023-07-10",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.scipy2023.scipy.org/"
+    }
+  ],
+  "speakers": [
+    "Amanda Casari"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi/sPRDQ5yfBSE/maxresdefault.jpg",
+  "title": "Thar Be Dragons: Ethical, Legal, and Policy Challenges When Measuring Open Source",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=sPRDQ5yfBSE"
+    }
+  ]
+}

scipy-2023/videos/ana-comesana-using-python-to-accelerate-sustainable-aviation-fuel-research-and-development.json

@@ -0,0 +1,24 @@
+{
+  "description": "SciPy is a community dedicated to the advancement of scientific computing through open source Python software for mathematics, science, and engineering. The annual SciPy Conference allows participants from all types of organizations to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. SciPy is organized by NumFOCUS, a 501(c)(3) nonprofit organization that promotes open source scientific computing.",
+  "duration": 1763,
+  "language": "eng",
+  "recorded": "2023-07-10",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.scipy2023.scipy.org/"
+    }
+  ],
+  "speakers": [
+    "Ana Comesana"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi/qCaHtmbh4I0/maxresdefault.jpg",
+  "title": "Using Python to accelerate sustainable aviation fuel research and development",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=qCaHtmbh4I0"
+    }
+  ]
+}

scipy-2023/videos/anders-johansson-fast-and-accurate-machine-learning-potentials-for-extreme-scale-simulations.json

@@ -0,0 +1,24 @@
+{
+  "description": "Allegro and FLARE are two very different packages for constructing machine learning potentials that are fast, accurate, and suitable for extreme-scale molecular dynamics simulations. Allegro uses PyTorch for efficient equivariant potentials with state-of-the-art accuracy, while FLARE is a sparse Gaussian process potential with an optimized C++ training backend leveraging Kokkos, OpenMP, and MPI for state-of-the-art performance, and a user-friendly Python frontend. We will compare and contrast the two methods, discuss lessons learned, and show spectacular scientific applications.",
+  "duration": 1783,
+  "language": "eng",
+  "recorded": "2023-07-10",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.scipy2023.scipy.org/"
+    }
+  ],
+  "speakers": [
+    "Anders Johansson"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi/eE63q3YjaG8/maxresdefault.jpg",
+  "title": "Fast and Accurate machine learning potentials for extreme-scale simulations",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=eE63q3YjaG8"
+    }
+  ]
+}

scipy-2023/videos/andrei-paleyes-emukit-python-toolkit-for-uncertainty-quantification-scipy-2023.json

@@ -0,0 +1,24 @@
+{
+  "description": "Emukit is an open-source package for uncertainty quantification in Python. It provides various Bayesian methods, such as optimization, experimental design and quadrature, in a flexible unified way that leverages their commonalities. In the talk we will explain how and why Emukit was built, what are its strengths and weaknesses, how it is used today and in what scenarios one might find it useful.",
+  "duration": 1974,
+  "language": "eng",
+  "recorded": "2023-07-10",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.scipy2023.scipy.org/"
+    }
+  ],
+  "speakers": [
+    "Andrei Paleyes"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi/n2k6jCoTH2M/maxresdefault.jpg",
+  "title": "Emukit Python toolkit for uncertainty quantification",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=n2k6jCoTH2M"
+    }
+  ]
+}

scipy-2023/videos/angela-pisco-keynote-how-open-source-tools-power-the-efforts-of-biological-data-analysis.json

@@ -0,0 +1,26 @@
+{
+  "description": "Angela Pisco is the head of computational biology at insitro. She is passionate about extracting meaningful information from biomedical datasets and use that to improve disease understanding and drug development. She has studied Biomedical Engineering as BSc and MSc and have a PhD in Systems Biology. Her PhD work became the foundation of a new direction of thinking on why cancer develops resistance to chemotherapy, which is the major reason for treatment failure. In her postdoctoral work, she investigated the mechanisms of cellular differentiation in the skin. She developed a 3D computational model that recapitulated the observed changes in the mouse skin connective tissue and dermis during development. The combination of the mathematical analysis with experimental data led to a new understanding of how distinct fibroblast subpopulations become activated, proliferate, and deposit matrix proteins during wound healing. Before moving to insitro, she led the Data Science platform at CZ Biohub. There she made significant contributions for the whole organism cell atlas projects including the first whole mouse cell atlas, the first aging cell atlas, and Tabula Sapiens, one of the first Human Cell Atlas drafts (The Tabula Sapiens Consortium, Science 2022). She is also a founder and core member of Open Problems in Single Cell (openproblems.bio), a community effort to improve multimodal data analysis by both generating gold standard datasets and benchmarking metrics and infrastructure.",
+  "duration": 2724,
+  "language": "eng",
+  "recorded": "2023-07-10",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.scipy2023.scipy.org/"
+    }
+  ],
+  "speakers": [
+    "Angela Pisco"
+  ],
+  "tags": [
+    "Keynote"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/n9T3xMZHRSE/maxresdefault.jpg",
+  "title": "How Open Source Tools Power the Efforts of Biological Data Analysis",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=n9T3xMZHRSE"
+    }
+  ]
+}

scipy-2023/videos/anna-haensch-ariana-mendible-small-town-police-accountability-a-data-science-toolkit-scipy-2023.json

@@ -0,0 +1,25 @@
+{
+  "description": "In this talk we will share a Python library to obtain and analyze policing data, that was developed in conjunction with community activists, data scientists, social scientists and the Small Town Police Accountability (SToPA) Research Lab. We will showcase components of the SToPA library which use Python tools such as web drivers, optical character recognition, geospatial mapping, machine learning and statistical sampling to better understand the policing landscape. The goal of this work is to present an easily replicable framework for analyzing police and community interactions with accessible on-ramps for activists, developers and researchers.",
+  "duration": 1843,
+  "language": "eng",
+  "recorded": "2023-07-10",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.scipy2023.scipy.org/"
+    }
+  ],
+  "speakers": [
+    "Anna Haensch",
+    "Ariana Mendible"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi/-i0ISd98xdo/maxresdefault.jpg",
+  "title": "Small Town Police Accountability A Data Science Toolkit",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=-i0ISd98xdo"
+    }
+  ]
+}