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, ...

Need help choosing the best Python ORM for your projects? Here's what you need to know about SQLAlchemy, PonyORM, Django ORM, Peewee, SQLObject, and Tortoise ORM. When you want to work with a ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

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 ...

Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...

Python's integration in Excel can unlock powerful reports and automation. But what if you try to use Python in Excel without any coding experience? It's possible, but there is still a learning curve ...

While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...