Slides from the North East Data Scientist's 2022 meetup events
1730–1830h: (Pre-event Workshop) Plotting in Python: The Basics
1800–1830h: Refreshments
1830–1835h: Welcome (🔗 slides)
1835–1900h: Myles Mitchell, Jumping Rivers Ltd
1915–2000h: Penny Pegman, Department for Work and Pensions
Jack Walton, Data Scientist & Trainer @ Jumping Rivers
Plotting in Python: The Basics
In this session Jack will be delivering a hands on and interactive demonstration of plotting with matplotlib in Python. To get the most out of this workshop it is recommended that you bring your own laptop. This session will make use of an online training environment provisioned by Jumping Rivers, and so you need not install any additional softwares to your laptop.
Myles Mitchell, Data Scientist & Trainer @ Jumping Rivers
Comparing package releases with diffify.com (🔗 slides)
Say you were using a particular version of a package in a project and now a new version is available. With Diffify you are easily able to check what has been changed in the new release. In particular, Diffify will provide you with information from the News file as well as changes in the dependencies, namespace and functions of the package.
Penny Pegman, Lead Data Scientist @ Department for Work and Pensions
Data Science in DWP
Penny will give an overview of data science work in the Department for Work and Pensions (DWP), and discuss how a team of DWP data scientists work closely with the cross-disciplinary development teams that are designing and delivering new features for the Universal Credit (UC) digital service. This session will show how DWP data scientists use their expertise in UC datasets and data science techniques to ensure the development of the service is supported by data, helping to improve outcomes for UC claimants and DWP staff.