Part 2 continues with importing our source .csv files dynamically to create a data frame in our Python Environment. We can then pickle our files for later use in other sessions and/or export our newly created data frame back into our file system to share will other platforms. […]
Tag: datascience
Dynamically Import Flat Files Using Your OS and Python – Part1
This document (part 1) will exemplify the first part of our dynamic process to manipulate files from our operating system and archiving them by calling commands and scripts from our python code to our operating system. Part 2 will be a continuation from this document, where we will start to dynamically import our files into […]
Without a Foundation, You Can’t Start Building
Before we can mine or apply models against our data, we must first import and transform our data from various inputs and formats. These preliminary demonstrations will help get you started on easily importing data into your desired platform and staging the data for various requirements like performing statistics/modeling and graphing results. […]