BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260725T192134Z UID:6a8cabe4-1ece-4100-bdb5-e854c44600cb DTSTART:20260928T090000Z DTEND:20260930T170000Z DESCRIPTION:**A certain number of places will be attributed in priority to CUSO members. Please enter the CUSO program you are in (DSLS\, Microbiolog y or StarOmics) in the Comment field of the application form.**\n\n## Over view\nHave you ever been stuck with a file format that doesn't precisely c onform to your needs\, found yourself doing annoyingly repetitive data man ipulations\, or struggled to efficiently manage and explore your data? Pyt hon to the rescue!\n\n[Python](https://www.python.org/) is an open-source and general-purpose scripting language which runs on all major operating s ystems. It was designed to be easily read and written with comparatively s imple syntax and is thus a good choice for beginners in programming. Pytho n is applied in many disciplines and is one of the most common languages f or bioinformatics. The Python community enthusiastically maintains a rich collection of libraries/modules for everything from web development to mac hine learning. Other programming languages such as R have comparable funct ionality to Python\, however some tasks are more natural (and easier!) in Python.\n\nIn this 3-day course\, participants will learn the basic concep ts and data structures necessary to solve routine data manipulation tasks. Importantly\, we will cover the concepts\, terminology\, and approach to documentation required to further develop skills in Python programming ind ependently. The goal is to take control of your research questions in an i ndependent manner.\n\nTopics include:\n\n* A basic introduction to Python scripting and computing in general\n* Creating\, populating\, and modifyin g data structures\n* Working with files : reading / writing\n* Installing / Importing libraries/modules\n* Writing functions\n* Best practices in Py thon programming\n* Debugging and documentation\n\n## Audience\nThis cours e is designed for PhD students\, postdoctoral and other researchers in the life sciences from both academia and industry who want to become familiar with writing Python code to accomplish common tasks such as automated dat a parsing\, basic statistical operations and graphical representations.\n\ nFor people who are proficient in programming\, this course might be on th e **slow side** for you and an intermediate Python class is recommended (c heck regularly our upcoming training courses).\n\n## Learning objectives\n \nAt the end of the course\, the participants should be able to:\n\n* **cr eate\, populate\, and modify** data structures\n* **read** and **write** f iles\n* **install and import** libraries and modules\n* **write** function s\n* **apply** best practices in Python programming\n* **debug and documen t** your own code\n\n\n## Prerequisites\n### Knowledge / competencies\nThi s course is designed for beginners\; there is no requirement for previous training in Python.\n\nThis course is part of the [Data Science with Pytho n](https://www.sib.swiss/training/learning-paths?path=data-science-with-py thon)\, [Machine Learning](https://www.sib.swiss/training/learning-paths?p ath=machine-learning) and [Data Management](https://www.sib.swiss/training /learning-paths?path=data-management) learning paths.\n\nTo get the most o ut of this course\, you should meet the learning outcomes of the [UNIX fun damentals](https://www.sib.swiss/training/course/2012_UNIXF) e-learning mo dule. Basic concepts of algorithmics is a plus.\n\nIn case of doubt\, eval uate your **UNIX skills** [here](https://docs.google.com/forms/d/e/1FAIpQL Sd2BEWeOKLbIRGBT_aDEGPce1FOaVYBbhBiaqcaHoBKNB27MQ/viewform?usp=sf_link).\n \n### Technical\nYou will need access to a computer. We will be working wi th Python managed by Anaconda - a free and operating system (OS)-agnostic platform for organizing Python libraries and environments. It is bundled w ith Anaconda Navigator\, a graphical user interface which will help ease y ou into what Python makes possible. We will discuss in detail what all of this precisely means during the course. In preparation\, all you have to d o is download and install Anaconda for your particular OS. Use any most re cent version of Python (>\;= 3.7). If your disk space is limited\, you can install Miniconda instead. However this lacks the Anaconda Navigator G UI and many of the packages distributed with Anaconda.\n\nWe will also be interacting with Python via the Jupyter notebook interface and we ask that you install Jupyter notebook\, via conda.\n\n\n## Application\nThe regist ration fees for academics are **300 CHF** for academics and **1500 CHF** f or for-profit companies. While participants are registered on a first come \, first served basis\, exceptions may be made to ensure diversity and equ ity\, which may increase the time before your registration is confirmed.\n \nYou will be informed by email of your registration confirmation. Upon re ception of the confirmation email\, participants will be asked to confirm attendance by paying the fees within **5 working days**.\n\nApplications w ill close on **17/09/2026** or as soon as the places will be filled up. Ca ncellation after **17/09/2026** will not be reimbursed. Please note that p articipation in SIB courses is subject to our [general conditions](https:/ /www.sib.swiss/training/terms-and-conditions).\n\n\n## Venue and Time\nThe course will take place at the University of Basel.\n\nThe course starts a t 9:00 and end around 17:00.\n\nPrecise information will be provided to th e registered participants in due time.\n\n## Additional information\nCoor dination: Monique Zahn\, SIB Training group.\n\nA **Certificate of Attenda nce** will be sent provided you were present at the course\, whereas a **C ertificate of Achievement** recommending 0.75 ECTS credits will be sent pr ovided you passed the exam.\n\nYou are welcome to register to the SIB cour ses mailing list to be informed of all future courses and workshops\, as w ell as all important deadlines using the form [here](https://lists.sib.swi ss/postorius/lists/courses.lists.sib.swiss/).\n\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code-of-conduct). Parti cipants of SIB courses are also required to abide by the same code.\n\nFor more information\, please contact [training@sib.swiss](mailto://training@ sib.swiss). SUMMARY:First Steps with Python in Life Sciences URL;VALUE=URI:https://www.sib.swiss/training/course/20260928_FSWPY END:VEVENT END:VCALENDAR