Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only a 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 that are standard in the industry but specially 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 Ph.D. students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R 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 before the course.

We are striving hard to get a pool of students which is international and gender-balanced: see how far we got in previous years!

faculty organizers students apply

ASPP-LatAm

ASPP-LatAm is the first edition of the ASPP Summer School intended for the public of the Latin American region of the world. ASPP has taken place in the European continent for the last 10 years with 12 instances in 7 different countries. An edition of the summer school for the public of the Asia-Pacific region of the world, ASPP-Apac, has already taken place in the Australian continent for two consecutive years. You can see the materials from every instance of both editions of the summer school in the archives.

Date & Location

27 July – 1 August, 2020. Mexico City, Mexico Mexico (To be confirmed depending on the contingency plans for COVID-19).

Be sure to check out the information about venue and travel.

If you are not in Latin America you may want to apply to ASPP instead!

Program

Important notice: The official language of the school will be English.

  • Version control with git and how to contribute to open source projects with GitHub
  • Best practices in data visualization
  • Testing and debugging scientific code
  • Advanced NumPy
  • Organizing, documenting, and distributing scientific code
  • Advanced scientific Python: context managers and generators
  • Writing parallel applications in Python
  • Profiling and speeding up scientific code with Cython and numba
  • Programming in teams

schedule venue & travel

Sponsors

We are able to hold the 1st edition of the ASPP-LatAm summer school thanks to the generous support of the SECTEI. Their contribution reflects their commitment to social enterprise and their mission to promote a culture of change and digital innovation, with a particular focus on integration, communication, and economic and social growth.