Mollstr. 1, 10178 Berlin
Happy new year to all PyData Berliners. We start the year with a very exciting meetup hosted at Zalando. Doors open at 19:00 and we have two speakers.
Building a trading algorithm that runs by itself and just prints money is a dream for many people, yet few ever even try because the field seems daunting. We discuss the basics of algorithmic trading to show you how to get started and avoid common pitfalls: what assets you can trade, how to choose strategies to test and what tools are available. We will also look at two simple example strategies and talk a bit about realistic expectations.
How does the human ear achieve its stunning performance? What determines the shape of a cell? How do living organisms develop from fertilized egg cells? These and other questions have been studied within the biological sciences for centuries. Final answers, however, often are still beyond our reach. Recent technological advances have given us the ability to acquire ever increasing amounts of quantitative data with respect to the biological systems under study. Today we are able to observe, to measure, and to interact with living systems with unprecedented spatial and temporal resolution. Modern biology as a result has become an interdisciplinary endeavour. A concerted effort of biologists, computer scientists, physicists, mathematicians, etc. is needed to make progress with regard to many open problems currently debated in the biological sciences. In this talk, I will discuss examples from my own work in hearing research, single cell biophysics, and developmental biology, highlighting the importance of quantitative and data analytic approaches. In particular, I will tell you about how we set up a virtual reality for sensory cells from the ear of the bullfrog, how we used image analysis to measure the width of the cellular actomyosin cortex, and how by pulling on magnetic microparticles we could measure the changing material properties in a developing fly embryo.