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-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 devised to be interactive and to give the students enough time 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
-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. We show how clean language design, ease of extensibility, and the
-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,
-C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial,
-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.
-We are striving hard to get a pool of students which is international and gender-balanced: [[https://python.g-node.org/python-summerschool-2018/archives#stats|see]] how far we got in previous years!
-<del>You can [[applications|apply online]]. The application process is complete, we are currently reviewing applications.</del>
-[[faculty|Faculty]], [[faculty#organizers|organizers]], [[students|students]].
-==== Date & Location =====
-**3–8 September, 2018**. [[https://goo.gl/maps/3EfZ3ttXAGs|Camerino]], {{:flags:it.png|Italy}} Italy
-**If you missed the application deadline**, write to [[python-info@g-node.org]] to be put on the announcement list for next year.
-==== Program =====
-  * Version control with git and how to contribute to open source projects with GitHub
-  * Best practices in data visualization
-  * Organizing, documenting, and distributing scientific code
-  * Testing scientific code
-  * Profiling scientific code
-  * Advanced NumPy
-  * Advanced scientific Python: decorators, context managers, generators, and elements of object oriented programming
-  * Writing parallel applications in Python
-  * Speeding up scientific code with Cython and numba
-  * Memory-bound computations and the memory hierarchy
-  * Programming in teams
-Also see the [[schedule|detailed day-by-day schedule]].
-==== Materials from previous years ====
-See the [[archives]].