Merge pull request #17 from charles-turner-1/main

Updates to scientific Python track description

src/content/tracks/scientific.mdx

@@ -2,4 +2,10 @@
 name: "Scientific Python"
 ---
 
-Python plays a pivotal role in the scientific ecosystem due to its versatility, simplicity, and extensive library support. The goal of this specialist track is to bring together scientist, engineers, students, and developers who work in (or are interested in!) the Scientific Python ecosystem.
+Python has become one of the cornerstone languages for developing scientific software, thanks to its flexibility, extensibility, ease of use and extensive ecosystem. Whether you’re doing machine learning, processing & visualising data, or running a statistical analysis, there’s a good chance there's a Python package that can help get you to a result quickly.
+
+This track is for anyone using Python for scientific computing - be it data analysis, engineering, academic research, statistics, modelling systems, machine learning, or just generally hacking together new tools to extract insight. 
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+Tell us what you are doing with Python in science. What insights, challenges, quirks, and innovations have you encountered? 
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+This year, PyCon AU is partnering with the Journal of Open Source Software (JOSS) to publish academic papers in association with PyCon AU submissions. If you are interested, see [here](/program/#new-academic-abstract-submission) for more information.