Graph Databases + Building an Air Quality Dashboard with PySpark, Python & AWS

Please join us for another awesome PyLadies London meetup in collaboration with AWS!

📝 Agenda:
• 6:30pm Doors open, socialising, food and drinks offered by our sponsor
• 7:00pm Introduction, News, Talks
• 8:00pm Socialising
• 8:30pm Fin

Talk 1 title:
Creating a graph database using Python

Abstract:
Graph-enabled data science and machine learning has become a very hot topic in a variety of fields lately, ranging from fraud detection to knowledge graph generation, social network analytics, and so much more. Neo4j is one of the most popular and widely-used graph databases in the world and offers tremendous benefits to the data science community. We will show you two ways to create a database setup using Python and Neo4j.

Speaker:
Jenny Vega, Solutions Architect at Amazon Web Services (AWS)

Talk 2 title:
How to build an air quality dashboard using PySpark, Python and AWS

Abstract:
The focus of creating sustainable and smart cities, is of rising importance across the world. Global warming is a big concern for a lot of organisations and to solve this challenge, we have to learn how to cut down pollution. One of the many factors that plays into pollution is air quality in cities. Learn in this session how to build a comprehensive air quality dashboard for London using Python code and many other cities using a data lake and analytics.

Speaker:
Natasha McCann, Solutions Architect II at Amazon Web Services (AWS) I Senior Public Speaker | Neurodiversity Advocate

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🥰 This meetup is sponsored by: AWS