incorporated leah's changes

Author: kierisi

_posts/2024-06-20-pyos-guide-to-scipy.md

@@ -24,7 +24,7 @@ comments: true
 Along with [Timo Metzger](https://cfp.scipy.org/2024/speaker/HMRG3H/) and [Bryan Van de Ven](https://cfp.scipy.org/2024/speaker/BBLFMK/), pyOpenSci community member [Pavithra Eswaramoorthy](https://www.linkedin.com/in/pavithraes/) will be covering everything you need to know to create beautiful and powerful interactive plots from scratch using Bokeh’s latest features. Starting with a quick introduction of Bokeh’s core concepts, the team will cover creating and customizing simple static plots like line and bar charts before introducing layers of interactivity, creating specialized plotting features like geographic maps, contour plots, Mathematical Text, and discussing new additions to Bokeh like ImageStacks. By the end, you will be able to create a complete interactive dashboard using Bokeh.
 
 ### [3D Visualization with PyVista](https://cfp.scipy.org/2024/talk/GKGRWE/)
-Led by [Tetsuo Koyama](https://cfp.scipy.org/2024/speaker/WY7NA9/), [Alexander Kaszynski](https://cfp.scipy.org/2024/speaker/3RXHG8/), [Bill Little](https://cfp.scipy.org/2024/speaker/FDVWDN/), and [Bane Sullivan](https://www.linkedin.com/in/bane-sullivan/), this tutorial demonstrates [PyVista’s](https://github.com/pyvista/pyvista) latest capabilities and bring a wide range of users to the forefront of 3D visualization in Python, including:
+Led by [Tetsuo Koyama](https://cfp.scipy.org/2024/speaker/WY7NA9/), [Alexander Kaszynski](https://cfp.scipy.org/2024/speaker/3RXHG8/), [Bill Little](https://cfp.scipy.org/2024/speaker/FDVWDN/), and pyOpenSci peer review spatial editor [Bane Sullivan](https://www.linkedin.com/in/bane-sullivan/), this tutorial demonstrates [PyVista’s](https://github.com/pyvista/pyvista) latest capabilities and bring a wide range of users to the forefront of 3D visualization in Python, including:
 * Use PyVista to create 3D visualizations from a variety of datasets in common formats.
 * Overview the classes and data structures of PyVista with real-world examples.
 * Be familiar of the various filters and features of PyVista.
@@ -44,7 +44,7 @@ By the end of this tutorial, you will have an understanding of the fundamental c
 By the end of this tutorial, you will have an understanding of the fundamental components that form a RAG model, and practical knowledge of open source tools that can help you or your organization explore and build on your own applications. This tutorial is designed to enable enthusiasts in our community to explore an interesting topic using some beginner-friendly Python libraries.
 
 ### [Create Your First Python Package: Make Your Python Code Easier to Share and Use](https://cfp.scipy.org/2024/talk/QT9GBY/)
-Led by pyOpenSci’s Executive Director and Founder, [Leah Wasser](https://github.com/lwasser), in this tutorial session you’ll learn how to:
+Led by pyOpenSci’s Executive Director and Founder, [Leah Wasser](https://github.com/lwasser), along with pyOpenSci editor [Isabel Zimmerman](https://cfp.scipy.org/2024/speaker/AVSVUJ/) and [Jeremiah Page](https://cfp.scipy.org/2024/speaker/LJ7ZSP/), who leads work on the [pyOpenSci packaging guide](https://www.pyopensci.org/python-package-guide/index.html), this tutorial session will teach you how to:
 * Create code that can be installed into different environments
 * Use [Hatch](https://hatch.pypa.io/latest/) as a workflow tool, making setup and installation of your code easier
 * Use Hatch to publish your package to (test) PyPI
@@ -68,7 +68,7 @@ This talk from our Executive Director and Founder, [Leah Wasser](https://github.
 This talk from [Richard Iannone](https://www.linkedin.com/in/richard-iannone-a5640017/), whose package [Great Tables](https://posit-dev.github.io/great-tables/articles/intro.html) is currently [under review with pyOpenSci](https://github.com/pyOpenSci/software-submission/issues/202), will provide a demonstration of Great Tables, showing how data can come alive in when in tabular form. We’ll use data from the fields of meteorology, chemistry, and the atmospheric sciences within our table-making examples. We’ll learn how the different components of a table (e.g., the column labels, the header, etc.) can be manipulated to best convey the data. We believe tables are worthy of being deemed data visualizations and we hope that Great Tables can become an indispensable tool in your data analysis workflow.
 
 ### [From Code to Clarity: Using Quarto for Python Documentation](https://cfp.scipy.org/2024/talk/GFGSTS/)
-[Isabel Zimmerman](https://www.linkedin.com/in/isabel-zimmerman/), a member of our triage team and an Emeritus Editor in Chief, will be speaking from her experiences as an open source developer who works with multilingual tools, and how Quarto + quartodoc helped to fill those gaps. This talk is intended for anyone who might have to communicate with stakeholders through code using a web-based format. She’ll be focusing on Python package documentation websites, but the stories and examples expose the difficulties in many types of technical communication. The intent is to have a lighthearted talk filled with examples of how to make technical communication and publishing easier and more accessible.
+[Isabel Zimmerman](https://www.linkedin.com/in/isabel-zimmerman/), a member of our triage team, editor, and an Emeritus Editor in Chief, will be speaking from her experiences as an open source developer who works with multilingual tools, and how Quarto + quartodoc helped to fill those gaps. This talk is intended for anyone who might have to communicate with stakeholders through code using a web-based format. She’ll be focusing on Python package documentation websites, but the stories and examples expose the difficulties in many types of technical communication. The intent is to have a lighthearted talk filled with examples of how to make technical communication and publishing easier and more accessible.
 
 ### [Vector space embeddings and data maps for cyber defense](https://cfp.scipy.org/2024/talk/STUXTH/)
 pyOpenSci community member [Benoit Hamelin](https://www.linkedin.com/in/benoit-hamelin-43a44668/) will cover how the vast amounts of information of interest to cyber defense organizations comes in the form of unstructured data; from host-based telemetry and malware binaries, to phishing emails and network packet sequences. All of this data is extremely challenging to analyze. In recent years there have been huge advances in the methodology for converting unstructured media into vectors. However, leveraging such techniques for cyber defense data remains a challenge.