Skills4Scientists - Intro to Python 2 - Typing, Variables, Data Types & Functions - Mr Samuel Munday

This talk forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD students.

This video was the second talk in the Skills4Scientists #4 - Intro to Python 2 Session, which was a follow on from our Intro to Python 1 course, with a focus on working further with the core elements of Python and performing data analysis, using Jupyter notebooks and Anaconda. This course is designed to allow you to follow along with the content and examples as the course goes, but you will also be provided with course material to allow you to cover it again after the live event.

Typing, Variables, Data Types & Functions - Mr Samuel Munday

Bio: Samuel Munday is a Research Assistant at the University of Southampton. He is currently part of the ICURe programme, and his research focus is in the digital economy space, interviewing and working with industry to assess the need for systems that can automatically curate and contextualise information from paper records. Samuel graduated from the University of Southampton in 2018 with an MChem in Chemistry and Maths, and prior to undertaking his recent position, he worked as a Research Technician at the University, and was involved with a variety of different projects. He led the development and implementation of a machine learning platform for the polymeric materials sector, aiding them in bringing new products to market faster. He has also developed and helped deliver a Python programming course for undergraduate Chemists as well as being involved in assessing the ethical implications of implementing AI and data sharing across the food supply chain.

This video is an output from the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery) which is funded by EPSRC under Grant Number EP/S000356/1 and PSDS (Physical Sciences Data science Service) which is funded by EPSRC under Grant Number EP/S020357/1.

DOI Link: Coming Soon