In the final article in this series, Robert Sheldon demonstrates combining data sources with multiple formats into one Python data frame.
Python is widely used to analyze data. One such use is to find anomalies or outliers. In this article, Robert Sheldon demonstrates how to create a support vector machine (SVM) to score test data so that outliers can be viewed on a scatter plot.
Python is a versatile language that is gaining more popularity as it is used for data analysis and data science. In this article, Rick Dobson demonstrates how to download stock market data and store it into CSV files for later import into a database system.