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UID:pretalx-juliacon-2025-PUL7JN@pretalx.com
DTSTART;TZID=EST:20250723T104000
DTEND;TZID=EST:20250723T105000
DESCRIPTION:Modern global geospatial workflows are ill-served by our curren
 t conception of planar geometry.  In GeometryOps.jl\, we have added suppor
 t for operations natively on the sphere (the space ``S²``)\, akin to Goog
 le's s2 library.  This allows us to treat lines as great-circle arcs witho
 ut subsampling\, and calculations like area and intersection are natively 
 non-approximate.  This enables fast and substantially more accurate global
  operations\, especially on areas of particular interest like the poles.
DTSTAMP:20260315T175731Z
LOCATION:Lawrence Room 104 - Function Room
SUMMARY:Geometry on the sphere with GeometryOps.jl - Anshul Singhvi
URL:https://pretalx.com/juliacon-2025/talk/PUL7JN/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-87W8CN@pretalx.com
DTSTART;TZID=EST:20250723T105000
DTEND;TZID=EST:20250723T110000
DESCRIPTION:Our world today is defined by big data\; the output of a single
  satellite orbit is larger than your laptop's hard drive.  The canonical w
 ay to analyze "big earth observation datasets" has always been to throw it
  on a cluster and let it run overnight.  But what if it didn't have to be?
 \n\nWith RangeExtractor.jl\, you can run queries over huge gridded dataset
 s on a laptop\, without storing the data locally.  Loading and processing 
 is batched by chunks\, either defaults from the dataset\, or from the user
DTSTAMP:20260315T175731Z
LOCATION:Lawrence Room 104 - Function Room
SUMMARY:Answering local questions on big datasets with RangeExtractor.jl - 
 Anshul Singhvi
URL:https://pretalx.com/juliacon-2025/talk/87W8CN/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-7QWVNC@pretalx.com
DTSTART;TZID=EST:20250724T113000
DTEND;TZID=EST:20250724T120000
DESCRIPTION:Documenter.jl is the primary documentation engine for Julia\, a
 nd powers backends ranging from native HTML and LaTeX to the spiffy Docume
 nterVitepress.jl.  In this talk\, we'll explore the structure of a Documen
 ter.jl "document"\, and how to modify it and hook into Documenter.jl to yo
 ur own (evil) ends!\n\nWe'll explore how Documenter's abstractions are str
 uctured\, the build and extension pipelines\, as well as how to define and
  implement a custom Documenter block.
DTSTAMP:20260315T175731Z
LOCATION:Lawrence Room 121 - Struct Room
SUMMARY:How to hack into Documenter.jl - Anshul Singhvi
URL:https://pretalx.com/juliacon-2025/talk/7QWVNC/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-TC3QHW@pretalx.com
DTSTART;TZID=EST:20250724T134000
DTEND;TZID=EST:20250724T135000
DESCRIPTION:Tyler.jl is a Makie ecosystem package that enables plotting til
 ed datasets\, like Google Maps and many other basemaps.  In the last few y
 ears\, it's also gained 3D capability\, and can plot colored elevation dat
 a in 3D _and_ on GeoMakie's projected GeoAxis.  Progress is also under way
  to allow Tyler to plot arbitrary user-provided datasets or pyramid overvi
 ews.\n\nIn this talk\, we'll dissect how Tyler works and how you can use i
 t (and abuse it!)
DTSTAMP:20260315T175731Z
LOCATION:Cathedral Room 324 - Else Room
SUMMARY:Tyler.jl: map tiles in Julia - Anshul Singhvi
URL:https://pretalx.com/juliacon-2025/talk/TC3QHW/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2025-9SSM8W@pretalx.com
DTSTART;TZID=EST:20250725T150000
DTEND;TZID=EST:20250725T160000
DESCRIPTION:An hour for users of Makie.jl to gather\, show off cool plots\,
  and talk about the state of the Makie ecosystem!
DTSTAMP:20260315T175731Z
LOCATION:Cathedral Room G24 - If Room
SUMMARY:Makie.jl BoF - Anshul Singhvi
URL:https://pretalx.com/juliacon-2025/talk/9SSM8W/
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