Python For Finance With Yves J Hilpisch : The Python Quants

Python has established itself as a real contender in the quant finance world to implement efficient analytics workflows and performant applications. Although being an interpreted language, quantative analysts and developers can draw on the powerful (scientific) ecosystem that has grown around python. This comprises libraries such as numpy that allows array management and operations both in a highly vectorised fashion and at the speed of c code. Using the panda library makes the management and analysis of financial time series both convenient and efficient. In such a context, data visualization is also easily accomplished with python. The workshop also illustrates how to achieve hardware-bound; input-output operations with python/numpy and libraries such as pytables