Read and write files with Jupyter Notebooks

Now that you’ve set up your Jupyter notebook, you can start getting data into it. To this purpose, this post discusses how to read and write files into and out of your Jupyter Notebooks. Furthermore, it tells you about the Python libraries you need for analyzing data. First things first: Essential Python libraries Your Jupyter

On feature development in mask making…

Since the pandemic began, I’ve made 889 masks. Of those, 750 went to 9 institutions in 6 states, with the rest going to friends, neighbours, and family. Initially, the process was very hectic because of the severe shortage in healthcare. But thankfully, things eased by June. With donations out of the way, I could consider

Pandas: Do work quickly. And learn programming!

I love pandas! This kind, of course… … but also the Python Data Analysis Library, an open-source software library. Even if you’re not trained as a programmer (like me), it can become a valuable time-saving tool. And here’s why. The data looks like Excel. So, it’s familiar. Pandas uses two basic formats (“objects”, in programming-speak)

Think Stats runner problem (Chap 3): My solution

Lately, I’ve been working through Think Stats by Professor Allen Downey. This book provides a novel way to learn statistics. Instead of formulas and theory, it teaches the same concepts with hands-on coding exercises. Because I am a business analyst, I identify with the practical approach of Think Stats. And today, I’d like to share

Take ownership of your data: The end-goal

We’ve come to the end of the Survival SQL series. Hopefully, you think the posts are relevant and easy to understand. Above all, I hope that your newfound knowledge has empowered you to take greater ownership of the data in your company. What does ownership mean? Your company probably has dedicated teams of data engineers

Window functions : Automate lengthy Excel tasks

“Find our 5 best-selling products by country.””What was the 7-day moving average revenue for every day last month?” Chances are, you’ve come across one of these business questions before. And previously, you’ve probably solved them either by creating a ticket for your analytics team, or by writing manual formulas in Excel. Instead of doing these