ASPP2025: 17ᵗʰ Advanced Scientific Programming in Python Summer School ======================================================================
https://aspp.school Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are interactive and allow students to acquire direct hands-on experience with the topics. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. Python is the standard tool for the programming scientist due to clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization. This school is targeted at PhD students, postdocs and more senior researchers from all areas of science. Competence in Python or in another language such as Java, JavaScript, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and git or another version control system is assumed. Participants without any prior experience with Python or git should work through the proposed introductory material before the course. We care for diversity and inclusion, and strive for a welcoming atmosphere to programming scientists of all levels. In particular, we have focused on recruiting an international and gender-balanced pool of students. Date & Location =============== 21–28 September, 2025. Plovdiv, Bulgaria. Application =========== You can apply online: https://aspp.school Application deadline: 23:59 UTC, Sunday 1 June, 2025. There will be no deadline extension, so be sure to apply on time. Invitations and notifications of rejection will be sent by Sunday 15 June, 2025. Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Program ======= • Large-scale collaborative scientific code development with git and code forges • Testing and debugging scientific code • Organizing, documenting, and distributing scientific code • Data in scientific programming • Scientific programming patterns in Python • What every scientist should know about computer architecture • Writing parallel applications in Python • Programming in teams Faculty ======= • Aitor Morales-Gregorio, Faculty of Mathematics and Physics, Charles University, Prague, Czechia • Guillermo Aguilar, Department of Computational Psychology, Technische Universität Berlin, Germany • Jenni Rinker, Department of Wind and Energy Systems, Technical University of Denmark, Lyngby, Denmark • Lisa Schwetlick, Laboratory of Psychophysics, EPFL, Lausanne, Switzerland • Pamela Hathway, YPOG, Berlin/Nürnberg, Germany • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Tiziano Zito, innoCampus, Technische Universität Berlin, Germany • Victoria Shevchenko, Inria Saclay Palaiseau and Université Paris Cité, France • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw, Poland Organizers ========== Head of the organization for ASPP and responsible for the scientific program: • Tiziano Zito, innoCampus, Technische Universität Berlin, Germany Organization team in Plovdiv: • Maya Ivanova Nikolova, MNKnowledge, Sofia, Bulgaria • Verjinia Metodieva, Charité – Universitätsmedizin Berlin, ECN, Germany Sponsors ======== ASPP2025 is hosted by the Technical University of Sofia, Plovdiv branch. The organization is done in collaboration with MNKnowledge and with the financial and institutional support of the Tübingen AI Center. Website: https://aspp.school Contact: info@aspp.school _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
