Name: Managing and Presenting Data
Start: 2024-08-28T18:30:00+12:00
End: 2024-08-28T20:30:00+12:00

**Please note the change in usual date per KiwiPyCon (23\~25 August)**

*Cameron Riddell*: the mechanics of **matplotlib** and how one could embed charts into various outputs:

* practical session using matplotlib
* Two APIs, OO API → Figure & Axes
* Coordinate spaces, annotations, legend
* exposure to a range of different charts, eg single-dimensional data leading to pie-charts, etc
* Standard univariate & bivariate charts
* How to present 3+ variables, and when is this not a good idea.
* further tools, both for data-manipulation and presentation.

* Short observations about how stats/presentation can be improved/mis-leading
* Intentionality demo
* Inline legends demo

* Python, Jupyter, markdown, matplotlibs GUI, and maybe Flask or FastAPI)?

*Andy Robinson*: **ReportLab PDF Toolkit** (available from PyPi, https://www.reportlab.com) An overview of **ReportLab**’s libraries for creation of *dynamic PDFs* and graphics from raw data.

* use cases, problems and projects
* a gallery of sample output
* overview of the layers:
* canvas for PDF file construction,
* flowing objects,
* graphics: custom shapes that can draw themselves
* high level markup language, and use with a templating system
* Open source library
* Canvas interface and basic drawing operations
* Graphics: a shapes library with charts and custom graphics
* Platypus: page layout and flow library
* Commercial package
* Markup language for ease and speed
* Embedding custom graphics
* creating json to pdf workflows

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Machine Learning with Python

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Software Development

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Internet of Things (IOT)

**Cameron** is a former academic researcher turned professional *Python trainer*. In his graduate studies, he investigated the intricate interplay between stress and memory in humans, alongside exploring *computational models* of visual working memory. His academic pursuits naturally steered him towards Python, a language he has mastered over a decade, with a strong focus on *data analytics* and *scientific communication*. Cameron serves as a corporate Python instructor and consultant *At Don’t Use This Code*. He is the go-to expert for *data analytics* and *visualization* using tools like *pandas*, *polars*, and *Matplotlib*. He adopts a data-driven, analytical approach to his work, contributing his expertise both within and outside the classroom. With a notable presence in the top 4% of contributors on *Stack Overflow*, Cameron is recognized for his ability to assist others in overcoming coding challenges. His academic background and aptitude for programmatic thinking enrich the training team at Don’t Use This Code.

**Andy** is one of the generation that grew up with the first home computers and dabbled in his teens, starting with flipping switches and running away as fast as possible into higher level languages as the personal computers evolved.  His first jobs were in finance and marketing, before realising in his late 20s that an actual career in computing was possible.  He was one of the earliest Python users in the UK and co-authored the fourth book on the language, spoke at early *OSCONs* and *PyCons* from 1997-2005.  In the late 1990s he worked on a succession of projects that needed nicer reports than were available from the tools at the time, and realised that *PDF* would be the emerging standard, so sat down to create PDFs from Python.  The result was *ReportLab* (the company) and the *reportlab library*, launched in 2000.

Managing and Presenting Data

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