Py4SHS

A week of intensive Python training for all your humanities project.

26th-30th August 2024, Campus du Saulcy, Metz, France.

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Who is this for ?

Are you a Humanities student or researcher wanting to learn more about how digital science can help your projects but have never known where to start ? Then Py4SHS is for you !

Through interactive workshops led by experts in computer science and digital humanities, you'll gain hands-on knowledge in coding, data visualization, and statistical approaches to solve humanities problem. This immersive journey will expand your horizons and equip you with practical skills to transform your approach to humanities.
Embrace the opportunities that lie ahead and be prepared to shape the future of scholarship !

Don't miss out on this incredible chance to enhance your academic journey. Enroll in the py4SHS 2024 summer school and embark on a learning experience that will provide you with valuable skills for your research project !

Schedule

26

Mon

Getting started

Day 1

9-9:30am: Welcome breakfast.


9:30-11:30am: Keynote lecture: An Introduction to Digital Humanities, by F. Rey.


11:30-14:30am: Lunch break.


14:30-17:30: Hands-on course: Setting up your environment, by C. Lemarinier.

27

Tue

Data manipulation using Python

Day 2

9-9:30am: Welcome breakfast.


9:30-11:30: Featured speaker: An Introduction to the PyData environment, databases and HTTP API, by C. Lemarinier.


11:30-14:30: Lunch break.


14:30-17:30: Hands-on course: Manipulating data using Python, by C. Lemarinier.

28

Wen

Artificial intelligence for Optic Character Recognition

Day 3

9-9:30am: Welcome breakfast.


9:30-11:30: Featured speaker: An introduction to Computer Vision, M. Pister


11:30-14:30: Lunch break.


14:30-17:30: Hands-on course: Using Kraken for manuscript recognition, M. Pister

30

Thu

Natural Language Processing

Day 4

9-9:30am: Welcome breakfast.


9:30-11:30: Featured speaker: An introduction to Natural Language Processing, by S. Robert-Hayek.


11:30-14:30: Lunch break.


14:30-17:30: Hands-on course: Applying Natural Language Processing methods for text classification, by S. Robert-Hayek.

31

Fri

An Introduction to Quantitative Statistics

Day 5

9-9:30am: Welcome breakfast.


9:30-11:30: Featured speaker: An Introduction to Quantitative Statistics, by S. Robert-Hayek.


11:30-14:30: Lunch break.


14:30-17:30: Hands-on course: Performing statistical tests, S. Robert-Hayek.

Organization Comitee

Featured speakers

...

Mathieu Pister

Mathieu Pister is a computer scientist from Grenoble, working at the Neoxia company : he has worked for a wide range of projects, from Deep Learning for timeseries analysis to Data Engineering for complex industrial pipelines.

...

Celine Lemarinier

Celine Lemarinier has a Master in Computer Sciences and has been active for 20+ years in very different domains and across 3 countries. She currently works for Eviden's HPC R&D, leading a team applying Data Science for the optimization of large supercomputers. Previously, Celine worked in online payments and automated call distribution.

...

Sophie Robert-Hayek

Sophie Robert-Hayek holds a PhD in computer science and is currently a post-doctoral researcher in digital humanities, working on computational philology.

...

Frédérique Rey

F. Rey is a biblical scholar, leading several project in digital humanities. She is specialised in Hebrew paleography and codicology and works on critical edition of Hebrew manuscripts from the Dead Sea Scrolls and Cairo Genizah.

Venue

The summer school will take place from the 26th to the 30th August 2024, at the Saulcy Campus, in the center of Metz. If you need help finding affordable housing, please contact us. You can reach Metz by car or train (Metz or Lorraine TGV station then shuttle [25 minutes] or plane (Luxembourg Findel, Aeroport Metz-Nancy-Lorraine).

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Register to join us for this exciting week !

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Address


Université de Lorraine, Campus du Saulcy, 57000 Metz

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