Introduction"I want to start data analysis, but it's difficult to use my own CSV right away," or "I copied the code, but I ...

When you start automating with Python, you will almost certainly encounter CSV files.Sales data, customer lists, product lists, and data exported from systems.When working in an office, you will find ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Pandas is a library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time ...

In December 2019 my InfoWorld colleague Sharon Machlis wrote an article called “How to merge data in R using R merge, dplyr, or data.table.” Sharon is a whiz at R programming, and analytics in general ...

Program-side access to Excel is interesting for many areas of application. It is therefore not surprising that Python provides libraries for this purpose. In addition to pandas, openpyxl should also ...