What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

The next step is to produce an input for the user as well as split the file once inserted. file = input("Enter file name: ") name, ext = file.split(".") data = "" We ...

CSV, or Comma Separated Values, are files used for all kinds of things, from managing large datasets to exporting data to move it between web services. You might think CSV files are just spreadsheets, ...

Pandas, those roly-poly, black-and-white stuffies come to life, are back in the United States and already delighting visitors to the Smithsonian's National Zoo as they frolic in the snow, gnaw on ...

This project loads a zip file from a remote location, unpacking and transforming its content using Pandas and other Python dependencies. After data transformation, a CSV file is stored locally, or in ...

Abstract: Day-ahead load forecasting is important for different grid operation applications including overload prediction and mitigation. With the increasing deployment of smart meters at customer ...

Most would agree that time is something we always seem to be short of and always want more of. The phrase “there are not enough hours in the day” resonates throughout many professions, but it rings ...

Abstract: In this paper we focus on how to efficiently mitigate the traffic without changing the packet routing in SDN networks. We propose a lightweight packet delivery scheme to mitigate the ...