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DTSTAMP:20260615T123551Z
UID:6aa9ff9d-fa48-4911-a61f-bfe44ce59495
DTSTART:20230301T090000Z
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DESCRIPTION:# Overview\nHave you ever been stuck with a file format that do
 esn't precisely conform to your needs\, found yourself doing annoyingly re
 petitive data manipulations\, or struggled to efficiently manage and explo
 re your data? Python to the rescue!\n\nPython is an open-source and genera
 l-purpose scripting language which runs on all major operating systems. It
  was designed to be easily read and written with comparatively simple synt
 ax\, and is thus a good choice for beginners in programming. Python is app
 lied in many disciplines and is one of the most common languages for bioin
 formatics. The Python community enthusiastically maintains a rich collecti
 on of libraries/modules for everything from web development to machine lea
 rning. Other programming languages such as R have comparable functionality
  to Python\, however some tasks are more natural (and easier!) in Python.\
 n\nIn this course\, participants will learn the basic concepts and data st
 ructures 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 independently. Th
 e goal is to take control of your research questions in an independent man
 ner.\n\nTopics include:\n\n* A basic introduction to Python scripting and 
 computing in general\n* Creating\, populating\, and modifying data structu
 res\n* Working with files : reading / writing\n* Installing / Importing li
 braries/modules\n* Writing functions\n* Best practices in Python programmi
 ng\n* Debugging and documentation\n\n# Audience\nThis 3-day course is addr
 essed to **beginners** who want to become familiar with writing Python cod
 e to accomplish common tasks such as automated data parsing\, basic statis
 tical operations and graphical representations.\n\nFor people who are prof
 icient in programming: this course might be on the **slow side** for you a
 nd an intermediate python class is recommended (check regularly our upcomi
 ng training courses).\n\n# Learning objectives\n\nBy the end of this cours
 e\, you will not only be prepared to learn more advanced bioinformatics-sp
 ecific applications in forthcoming courses\, but also be able to:\n\n* Cre
 ate\, populate\, and modify data structures\n* Work with files: read and w
 rite files\n* Install and import libraries and modules\n* Write functions\
 n* Apply best practices in Python programming\n* Debug and document your o
 wn code\n\n# Prerequisites\n### Knowledge / competencies\nThis course is d
 esigned for beginners\; there is no requirement for previous training in P
 ython. However\, we encourage completion of our "First Steps with UNIX" co
 urse or our “UNIX Fundamentals” tutorial. Basic concepts of algorithmi
 cs is a plus.\n### Technical\nYou are required to have your own laptop. We
  will be working with Python managed by Anaconda - a free and operating sy
 stem (OS)-agnostic platform for organizing Python libraries and environmen
 ts. It is bundled with Anaconda Navigator\, a graphical user interface whi
 ch will help ease you 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 do is download and install Anaconda for your particular 
 OS. Use any most recent version of Python (&gt\;=  3.7). If your disk spac
 e is limited\, you can install Miniconda instead. However this lacks the A
 naconda Navigator GUI and many of the packages distributed with Anaconda.\
 n\nWe will also be interacting with python via the jupyter notebook interf
 ace and we ask that you install jupyter notebook\, via conda.\n\n\n# Appli
 cation\n\n\n\nRegistration fees are **180 CHF** for academics and **900 CH
 F** for for-profit companies.\n\nWhile participants are registered on a fi
 rst come\, first serve basis\, exceptions may be made to ensure diversity 
 and equity.\n\nYou will be informed by email of your registration confirma
 tion. Upon reception of the confirmation email\, participants will be aske
 d to confirm attendance by paying the fees within 5 days.\n\nApplications 
 will close as soon as the places will be filled up. While participants are
  registered on a first come\, first serve basis\, exceptions may be made t
 o ensure diversity and equity. Deadline for free-of-charge cancellation is
  set to **22/02/2023**. Cancellation after this date will not be reimburse
 d. Please note that participation to SIB courses is subject to our [genera
 l conditions](https://www.sib.swiss/training/terms-and-conditions).\n\n# V
 enue and Time\nThis course will ONLY be held in person in Lausanne. It wil
 l start at 9:00 and end around 17:00 CET. Please note that a social dinner
  will be organised on March 1st after the course.\n\nPrecise information w
 ill be provided to the participants in due time.\n\n#  Additional informat
 ion\nCoordination: Monique Zahn\, SIB Training Group.\n\nWe will recommend
  0.75 ECTS credits for this course (given a passed exam at the end of the 
 course).\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 importan
 t deadlines using the form [here](https://lists.sib.swiss/mailman/listinfo
 /courses).\n\nPlease note that participation in SIB courses is subject to 
 our [general conditions](https://www.sib.swiss/training/terms-and-conditio
 ns).\n\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-europe.o
 rg/events/code-of-conduct). Participants of SIB courses are also required 
 to abide by the same code.\n\nFor more information\, please contact [train
 ing@sib.swiss](mailto://training@sib.swiss).
SUMMARY:First Steps with Python in Life Sciences
URL;VALUE=URI:https://www.sib.swiss/training/course/20230301_PYTFS
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