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SUMMARY:OT-ST-WS-04 Getting started with Python
DTSTART:20261102T080000Z
DTEND:20261104T160000Z
DTSTAMP:20260624T033900Z
UID:indico-event-25@events.bremen-research.de
CONTACT:data-train@vw.uni-bremen.de\;+49 (421) 218 60043
DESCRIPTION:Speakers: Data Train UBRA (U Bremen Research Alliance)\n\nBack
 ground\nCurrently python is one of the most popular general purpose progra
 mming languages.  It gains popularity due to expressive syntaxis\, vibran
 t community and large number of high-quality open-source libraries. There 
 are libraries for data science\, all branches of natural and computer scie
 nces as well as tools for system administration and development of web app
 lications and backend systems. Most of the popular machine learning librar
 ies (not covered in this course!) are written with python as an interface 
 language (TensorFlow\, Keras\, PyTorch). Parallel processing libraries (e.
 g. dask) allow to effectively work with huge amounts of data. This makes p
 ython knowledge a desirable skill for data scientists as well as for anyon
 e who work with data in digital form in one way or another. \nLearning co
 ntents\nIn this course you will learn basics of python\, that allow you to
  perform data handling related tasks using this programming language. The 
 main emphasis will be given to overview and hands on experiences with most
  popular python libraries used for data processing and visualization. In p
 articular we will cover numpy (array operations)\, pandas (table data and 
 statistics)\, xarray (labeled arrays)\, dask (parallel data processing)\, 
 scipy (scientific computing)\, matplotlib and bokeh (visualization). The c
 ourse will be held in interactive Jupyter environment.\nLearning objective
 s\n\nBasic understanding of python syntaxis\, data types and operations\nB
 asic information about several main python libraries used for data process
 ing and visualization\nExperience on solving simple data handling problems
  using those libraries\nExperience of working within interactive Jupyter e
 nvironment\nKnowledge of python data science libraries ecosystem and under
 standing of where to find information\n\nPrior knowledge\nBasic experience
  with programming on any language would be an advantage.\nTechnical requir
 ements\n\nOwn laptop\n\nConnection to Wifi via eduroam or equivalent acces
 s (see: https://www.uni-bremen.de/en/zfn/wifi/overview-wifi)\n\n\n \nThe 
 Lecturer\n\n\n\n\nDr. Sonja Hänzelmann\nSonja Hänzelmann is Head of Data
  Science at Alfred Wegner\, Helmholtz Center for Polar und Marine Research
 \, Bremerhaven.\n\n \n\n\n\n\n \n\n\n\n \nFind out more about the Data 
 Train lectures on our website.\n \nThis event is organized by\n\n\nhttps
 ://events.bremen-research.de/event/25/
LOCATION:Room 2.2070/2.2090 (2. floor) (Unicom 2 (Haus Oxford))
URL:https://events.bremen-research.de/event/25/
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