Plotly Data Exploration of London
Join us in building Python data apps and visualizations, based on the London dataset of the month. We'll work in small groups to build creative and rich apps to find data insights and learn more about the city we love.
We'll use the Plotly Graphing library and Plotly Studio: an AI-native desktop application that automatically generates professional data apps and visualizations in minutes, using nothing but your dataset.
Don't worry if you're new to Python and Plotly. Rishi and David will provide a brief introduction at the beginning of the session.
Note: please bring your own laptops with batteries loaded. We'll bring the food and fizzy drinks. Also, we encourage you to join Plotly's Discord server where we discuss the projects we tackle at these events.
WiFi Name
Plotly Representative
David Psaila - is a geophysicist and data scientist working in the energy industry. He has worked in research and software engineering, developing algorithms and data analysis tools for building models of the subsurface. One of his interests is the intersection of machine learning and statistical graphics, and is excited about the possibilities of Plotly for explaining the behaviour of predictive models. He has a degree in Geology from Oxford University and a PhD in Geophysics from Leeds University.
Rishi Nigam - is a data scientist with a passion in generative AI, computer vision and end-to-end machine learning systems. With a career spanning consulting, research and industry particularly manufacturing and e-commerce. Rishi's journey into tech started with a background in electronics and communication engineering, which later evolved into a deep interest in machine learning during his graduate studies in data science. Outside of work, he enjoys tinkering with personal tech projects, mentoring aspiring data professionals, and exploring ways to apply AI for social impact. Apart from tech, he enjoys playing badminton (competitively).