Here we will show you how to properly use the Python Data Analysis Library (pandas) and numpy. The agenda is:
How to load data from csv files The basic pandas objects: DataFrames and Series Handling Time-Series data Resampling (optional) From pandas to numpy Simple Linear Regression Consider leaving a Star if this helps you.
The following ipython magic (this is literally the name) will enable plots made by matplotlib to be rendered inside this notebook.
Mathematical proof of functionality, of a highly efficient pseudo-random number generator: The Ziggurat Method
How can we keep the simplicity and power of pandas, while extending it to be out-of-core and parallel?