Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...
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 ...
It is no longer a secret that big data is a reason behind the successes of many major technology companies. However, as more and more companies embrace it to store, process and extract value from ...
The recent announcement from Microsoft that they have now integrated Python into it’s Excel spreadsheet software has opened up a wealth of new applications for data analytics, automation and number ...
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, ...
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 ...
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