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Scientific Computing with Python


You'll get a short overview of the Scientific Computing ecosystem in Python and what kind of problems it can be applied to.

In recent years, Python's scientific stack has emerged as a serious open source alternative to established proprietary systems like MATLAB or specialized solutions like R. However, the wide range of packages and options is often confusing for inexperienced users - this talk aims to provide a remedy.

In particular, you'll learn about:

  • Why Scientific Computing with Python? (Motivation)
  • What is it the scientific stack has to offer? (Interesting packages/libraries)
  • Who is using it? (Companies/applications working with Python's scientific stack)
  • How can I start? (Scientific Python distributions)
  • Is it really that simple? (Yes! Showcases)


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