ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
Best Practices in Programming
21 October 2019
For-profit: 600 CHF
Next course(s):
07 - 08 Jul 2021 | Streamed | |
06 - 07 Jul 2022 | Zurich | |
05 - 06 Jul 2023 | Zürich | |
03 - 04 Jul 2024 | Zürich | |
01 - 02 Jul 2025 | Zürich |
This workshop is organised by the SIB PhD Training Network. Priority is given to its members, but is open to everyone.
Overview
The workshop will focus on learning and internalizing the practices of unit testing, refactoring, and version control through hands-on experience. The first morning will start with an introduction into these concepts and tools used to support them. In the afternoon, we will transition to a code clinic and work together in small groups applying these practices to make improvements to **code brought by participants**. The second day will continue with the code clinic.The focus of this course is not object-oriented programming, software architecture, design patterns or algorithms. The goal of this course is to introduce skills and techniques for effectively developing software.
Audience
If the answer to two or more of the following questions is “yes”, then this course is for you.
- Do you write software to analyze data or implement in-silico models as part of your daily work?
- Do you write scientific publications based on software you created yourself but do not know what unit testing, refactoring or version control are?
- Are you writing code that you find hard to understand some weeks later?
- Do you have thousands of lines of code, but no automated way of verifying that the code works correctly?
- Do you find yourself regularly using “copy & paste” to re-use code you wrote earlier?
- Do small changes in your code later cause trouble in other unexpected places?
Learning objectives
At the end of the workshop, the participants should be able to:
- identify and avoid the most common mistakes in the process of writing software in a scientific context
- improve the quality of her/his code
- exploit techniques for effectively developing software
Prerequisites
Knowledge / skills:
Working knowledge of one of the following programming languages: R, python, C/C++, java, perl.
Material:
- Participants should bring their own laptop with a Wifi connection.
- Participants should send some extracts of their code at least 2 weeks before the course
Application
Registration fees for academics are 120 CHF (free for members of the SIB PhD Training Network). This includes course content material and coffee breaks.
Deadline for cancellation is set to the 21 October. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions.
Location
University of Basel/Biozentrum. The course will start at 9:00 and ends around 17:00
Additional information
Tutors: Franz-Josef Elmer, Uwe Schmitt, Manuel Weberndorfer, Cezary Czernecki, Mikolaj Rybinski
Coordination: Grégoire Rossier