In this session we will have 2 talks about how Python is used in history and in creating noise filters and a hands on session to play with the code of the noise filtering project!!
• Talk 1:
Making Digital History
Historians make a living studying the past and its paper archives, but they, too, live in the present that is increasingly concerned with digital data and technologies. How do historians deal with this digital transformation? I will discuss my personal experience of learning Python and data science to analyse a set of bibliographic records with historical relevance. In my talk I will explain how Python and data science have contributed to my research on the history of agricultural meteorology, and I will reflect on the challenges and opportunities offered by the use of digital tools in history.
# Giuditta Parolini
Giuditta is a person interested in learning always new things and in taking up new challenges. She has a background in both the sciences (physics) and the humanities (science communication and the history of science). Over the years, she has worked as an historian and as a science writer and editor. Currently, she is a researcher in the history of science at TU Berlin.
• Talk 2:
Using Python to build an open source smart noise filter, by Peggy Sylopp and Aislyn Rose
Aislyn Rose is deeply drawn to sound and explores it as a developer, researcher, and dancer. She has a M.Sc. in clinical linguistics, which introduced her to acoustics as well as programming, inspiring a career change from academia to tech development. As a freelance developer, she pursues projects that tap into what fascinates her: sound, movement, and anything to do with learning.
# Peggy Sylopp
Peggy is an intermedian artist with diploma in computer science and
master of public policy.
In her artworks she experiments with mixed media installations out of
sound, light and ice. Beyond that he is engaged for and accessible
technologies for people. Aware living and the healing movements of Yoga, Qi Gong and Tai Chi accompany her daily life. ATM she manages till March 2020 the citizen project "Hear How You Like To Hear" at Fraunhofer IDMT. In this context she initiated together with Aislyn Rose the \\NoIze// project, creating the open source selective filter we want to share here
@PyLadies with you.
• Audience level:
Kialo - https://www.kialo.com/
For the hands on session, bring your laptops and please make an account in https://i.notebooks.ai/i/qrtJj3 first!
Also bring some headphones!
Snacks and drinks will be available.
• Gender policy
We believe knowledge is for all and at the same time our events aim primarily to empower women tech community. We request non-female attendees to be aware of this situation and make their presence discrete. Eg. by coming with a female plus one to ensure gender balance, avoiding to be heard more than the rest of the attendees in discussions and question sections.
• Photography / video consent
We take photos and videos during the event to use for documentation and in social media such as here in Photo albums, Facebook, Twitter, etc. By coming to the meetup, you willingly give consent to take photos and videos of you. If you do not want to give your consent, please let us know at check-in.
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