BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260615T193045Z UID:28ba3a30-8a61-45f9-ab01-f61447329054 DTSTART:20241111T090000Z DTEND:20241111T170000Z DESCRIPTION:# Overview\nPython is an open-source and general-purpose script ing language which runs on all major operating systems. It was designed to be easily read and written with comparatively simple syntax. Over the rec ent years Python has become a programming language of choice for bioinform atics and data analysis\, and in particular for applications that make use of machine learning or deep learning. However\, these applications usuall y require a good mastering of a few modules (such as numpy\, or pandas) th at can go beyond basic Python commands. This 1-day course will introduce m odules and recipes to unlock the potential of Python for day-to-day data e xploration and analysis of real-life datasets.\n\nTopics that will be cove red in this course include:\n* Parsing\, transforming\, and exporting data using pandas\n* Exploring data\, and creating useful summaries using pand as and numpy\n* Representing data in an efficient and impactful manner usi ng seaborn\n\n# Audience\nThis course is addressed to life scientists\, bi oinformaticians and researchers who are familiar with writing Python code and core Python elements and would like to explore it further in their dai ly data wrangling and exploration tasks.\n\n# Learning outcomes\nAt the en d of this course\, participants are expected to:\n* Parse any tabulated da ta set in a couple of lines \n* Summarize and perform quality control on t heir data \n* Filter\, sub-sample or aggregate specific parts of their dat aset(s) \n* Generate clear visual representations to explore data and comm unicate their findings \n\n\n# Prerequisites\n***Knowledge / competencies* **\n\nThe course is targeted to life scientists\, bioinformaticians\, and researchers who are already familiar with the Python programming language and who have basic knowledge in statistics. Competences and knowledge leve ls required correspond to those taught in courses such as: [First Steps wi th Python in Life Sciences](https://www.sib.swiss/training/course/20240304 _FSWP) and [Introduction to statistics with R](https://www.sib.swiss/train ing/course/20230206_STATR).\n**Test your skills with Python and statistics with [the quiz here](https://forms.gle/iCydNS8LUUkm7csz7)\, before regist ering. We recommend 4 out of 6 correct answers.**\n\nA few days before the course\, registered participants will receive a small "warm-up" jupyter n otebook to go through. This will be in order to help them get a quick refr esher on their python know-how and check that all libraries are working pr operly. \n\n\n***Technical***\n\nYou are required to use your own laptop\, with a recent Python 3 version. \nPlease make sure you have install Anaco nda\, Jupyter notebook and the needed Python librairies on your personal l aptop before the start of the course.\nYou can find all the information fo r the prerequisiste installation [here](https://github.com/sib-swiss/inter mediate-python-training#prerequisite-installation).\n\n\n# Application\n\n \nRegistration fees for academics are **100 CHF** and **500 CHF** for for- profit companies. \n\nWhile participants are registered on a first come\, first served basis\, exceptions may be made to ensure diversity and equity \, which may increase the time before your registration is confirmed.\n\nA pplications will close as soon as the places will be filled up. Deadline f or free-of-charge cancellation is set to **28/10/2024**. Cancellation afte r this date will not be reimbursed. Please note that participation in SIB courses is subject to our [general conditions](https://www.sib.swiss/train ing/terms-and-conditions).\n\nYou will be informed by email of your regist ration confirmation. Upon reception of the confirmation email\, participan ts will be asked to confirm attendance by paying the fees within 5 days.\n \n# Venue and Time\nThis course will be streamed using Zoom.\n\nThe course will start at 9:00 and end around 17:00 CET.\n\nPrecise information will be provided to the participants in due time.\n\n# Additional information\ nCoordination: Diana Marek\, SIB Training Group.\n\nWe will recommend 0.2 5 ECTS credits for this course (given a passed exam at the end of the cour se).\n\nYou are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops\, as well as all important de adlines using the form [here](https://lists.sib.swiss/postorius/lists/cour ses.lists.sib.swiss/).\n\nPlease note that participation in SIB courses is subject to our [general conditions](https://www.sib.swiss/training/terms- and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](https://eli xir-europe.org/events/code-of-conduct). Participants of SIB courses are al so required to abide by the same code.\n\nFor more information\, please co ntact [training@sib.swiss](mailto://training@sib.swiss). SUMMARY:Data Analysis and Representation in Python URL;VALUE=URI:https://www.sib.swiss/training/course/20241111_DARPY END:VEVENT END:VCALENDAR