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start [2019/03/14 15:00] – [Sponsors] Tiziano Zitostart [2024/03/27 13:42] (current) – external edit 127.0.0.1
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 +=== Description ===
 Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, 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 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, 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 devised to be interactive and to give the students enough time to acquire +but especially tailored to the needs of a programming scientist. Lectures are interactive and allow students to acquire 
-direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a+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. 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 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. We show how clean language design, ease of extensibility, and the +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.
-great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the +
-programming scientist.+
  
-This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, +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 of a version control system such as git, subversion, mercurial, +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 
-or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed +
 [[introductory_material|introductory material]] **before** the course. [[introductory_material|introductory material]] **before** the course.
  
-We are striving hard to get a pool of students which is international and gender-balanced: [[archives#stats|see]] how far we got in previous years!+🌈 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: [[archives#stats|see]] how far we got in previous years!
  
-You can [[applications|apply online]]. 
  
-[[faculty|Faculty]], [[faculty#organizers|organizers]], [[students|students]].+=== Date & Location === 
 +** 25 August – 1 September, 2024**. [[location|Heraklion]], Crete, {{:flags:gr.png|Greece}} Greece
  
 +=== Applications ===
 +<btn type="primary">[[applications|apply now!]]</btn>
  
-==== Date & Location ===== +Application deadline: **23:59 UTC, Wednesday 1 May, 2024**.\\ 
-**2–7 September, 2019**. [[https://goo.gl/maps/3EfZ3ttXAGs|Camerino]], {{:flags:it.png|Italy}} Italy+There will be no deadline extension, so be sure to apply on time. Invitations and notification of rejection will be sent by Sunday 26 May, 2024. 
 +/*We are currently reviewing the 156 applications.\\ 
 +<del>Invitations and notification of rejection have been sent on Thursday 11 May, 2023. We are now waiting for confirmation from the invited candidates.</del>\\ 
 +The [[students|30 participants]] have been selected!
  
-==== Program ===== + **The deadline for application has expired**. If you missed it, write to [[info@aspp.school]] to be put onthe announcement list for **ASPP2024**.*/ 
-  * Version control with git and how to contribute to open source projects with GitHub + 
-  * Tidy data analysis and visualization+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 GitHub 
 +  * Best practices in data visualization
   * Testing and debugging scientific code   * Testing and debugging scientific code
   * Advanced NumPy   * Advanced NumPy
   * Organizing, documenting, and distributing scientific code   * Organizing, documenting, and distributing scientific code
-  * Advanced scientific Python: context managers and generators+  * Scientific programming patterns in Python
   * Writing parallel applications in Python   * Writing parallel applications in Python
-  * Profiling and speeding up scientific code with Cython and numba+  * Profiling and speeding up scientific code
   * Programming in teams   * Programming in teams
  
-Also see the [[schedule|detailed day-by-day schedule]] and information about [[location|venue and travel]]. +=== Sponsors === 
- +We are able to hold this year's ASPP school thanks to the financial support of the [[https://tuebingen.ai/|Tübingen AI Center]]. The [[https://www.imbb.forth.gr/en/|Institute of Molecular Biology & Biotechnology]] of the [[https://www.forth.gr/en|Foundation for Research and Technology – Hellas]] is hosting us in Heraklion and is taking care of the local organization. The [[https://www.g-node.org/|G-Node]] was the main supporter during ASPP's first ten years of existence and is still kindly hosting our web services.
-==== Sponsors ==== +
-We are able to hold this year's edition of ASPP thanks to the generous support of +
-[[http://www.fondazionetim.it/|Fondazione TIM]]. Their contribution reflects their commitment +
-to social enterprise and their mission to promote a culture of change and digital innovation, +
-with particular focus on integration, communication and economic and social growth. +
- +
- +
-==== Materials from previous years ==== +
-See the [[archives]].+