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Data Science Workflows with Posit Tools — Python Focus

posit::conf 2023

by Gagandeep Singh and Sam Edwardes

🗓️ September 18, 2023
⏰ 09:00 - 17:00
🏨 ROOM TBD
✍️ pos.it/conf


Overview

In this Python-focused workshop, we will discuss ways to improve your data science workflows! During the course, we will review packages for data validation, alerting, modeling, and more. We’ll use Posit’s open source and professional tools to string all the pieces together for an efficient workflow. We’ll discuss environments, managing deployed content, working with databases, and interoperability across data products.

This workshop is for you if you...

  • Build finished data products starting from raw data and are looking to improve your workflow
  • Are looking to expand your knowledge of Posit open source and professional tools
  • Want to improve interoperability between data products in your work or on your team
  • Have experience developing in Python. An analogous course with an R focus is also offered

Prework

Hi! We are excited for the 1-day “Data Science Workflows with Posit Tools — Python Focus” workshop! This workshop requires that you bring your own laptop. Before the workshop, please create a Posit Connect account:

If you have questions in advance of the workshop, please ask on the GitHub discussions section of our repo: https://github.com/posit-conf-2023/ds-workflows-python/discussions/categories/q-a

Schedule

Day 1

Time Activity
09:00 - 10:30 Session 1
10:30 - 11:00 Coffee break
11:00 - 12:30 Session 2
12:30 - 13:30 Lunch break
13:30 - 15:00 Session 3
15:00 - 15:30 Coffee break
15:30 - 17:00 Session 4

Instructor

Gagandeep Singh

Gagandeep is a Solutions Engineer at Posit PBS based in Toronto, Canada. He is a former software engineer and data scientist who has worked in a variety of cross-technology teams before joining Posit.

Sam Edwardes

Sam is a Solutions Engineer at Posit PBC based out of Vancouver, British Columbia, Canada. As a Solutions Engineer he helps customers effectively use Posit's professional products with open source Python and R tools. He is passionate about Python, R, and all things open source!


This work is licensed under a Creative Commons Attribution 4.0 International License.