Why is Pandas Superior to Excel?

The Battle Of The Century Between Management and Programmers

What Does A Panda Have To Do With BI?

Pandas is a powerful Python library for data manipulation and analysis. It provides fast and flexible data structures for storing and manipulating large amounts of data, and has a wide range of tools for performing operations such as filtering, aggregating, and transforming data.

Pandas is widely used in the field of data science and is a key tool for many data analysts and business intelligence professionals. It is easy to use and has a friendly syntax, making it accessible to users with a variety of skill levels.

“But I hate coding!”

As a data analyst or business intelligence professional, you’ve probably found yourself wondering which tool is the best for your work: Excel or Pandas?

On the surface, they might seem like they serve the same purpose — crunching numbers and making data-driven decisions — but when it comes down to it, there’s really no comparison. Pandas is the clear winner for business intelligence.

Now, don’t get us wrong — Excel has its uses. It’s a tried-and-true tool that has been around for decades and is great for simple calculations and quick data analyses.

But when it comes to handling large amounts of data and more complex operations, Excel starts to show its limitations. With a little bit of coding and attitude change, your analysis skills will flourish!

Why Pandas?

This powerful Python library was specifically designed for data manipulation and analysis, and it can handle just about any task you throw at it.

With Pandas, you can easily import and export data from a variety of sources, perform complex transformations, and even build machine learning models.

But what really sets Pandas apart is its ability to handle large amounts of data with ease. While Excel starts to slow down and crash when you get past a certain point, Pandas can handle millions of rows without breaking a sweat. This is especially important in the world of business intelligence, where data sets are often massive and constantly growing.

In addition to its power and speed, Pandas is also extremely user-friendly. Its syntax is intuitive and easy to learn, even for those with no programming experience.

This means that you can get up and running with Pandas in no time, and start making better, more informed business decisions faster.

Conclusion

So, the next time you’re faced with a data analysis task, don’t just default to Excel. Give Pandas a try and see what it can do for your business intelligence efforts.

Trust us, your data (and your boss) will thank you.

Watch my Youtube video below to learn how I use pandas as a business intelligence analyst.

Originally published at https://stambaughportfolio.blogspot.com on January 1, 2023.

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Not financial advice. You should seek a professional before making any financial decisions.

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