Consider you have an Excel file and you need to split it based on a column's values and you don't want to keep doing it manually. You can use VBA code, of course, but the process will take longer ...

A python script that uses specified Search/Retrieve via URL (SRU) APIs to complete a CSV file with missing data based on an available lookup identifier column Possible scenarios could be to fetch data ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...

As a buddy of mine always says "the nice thing about standards is that there's so many to choose from". Take CSV files for example. CSV, of course, stands for "Comma Separated Values", more often than ...

Each input file is a spreadsheet and it is converted into the corresponding output file as a CSV file. The new version has been enhanced so that you can append a sheet name or number to the end of the ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

A CSV file is a “comma-separated values” file. In plain English, this is a text file that contains an unusually large amount of data. More often than not, this is used in order to create databases of ...

Writing to files is one of the most important things you will learn in any new programming language. This allows you to save user data for future reference, to manipulate large data sets, or to build ...