But before getting there, you need first to refer to the numpy library, which brings efficient work with matrices to Python. The following code does the necessary imports and reads the data from SQL Server. 1 2 3 4 5 6 7 8 9 import numpy as np import pandas as pd import pyodbc ...
return datetime.strptime(x, '%Y-%m-%d') We really need only the first two features (valueanddate), so when loading from the CSV file, we are going to discard the other two. We need also to specify the column which contains the date values and the parser function to apply: from panda...
Information extraction: Ask questions over databases across the web. Social networks: Data on relationships and preferences. Machine learning to extract value from data. Debugging: Use in computer science problems like debugging. Labor intensive process. Could suggest where the bug could be. What is ...