Pandas, the popular Python library for data manipulation and analysis, offers a plethora of techniques to filter and manipulate data. One of the most powerful and efficient methods is Boolean…
Imagine a serene, expansive lake, its waters clear and full of diverse life. The kind of place where you'd like to sit by and admire the view, or even take…
This brief introduction will guide you through the very first steps of using pandas for EDA (Exploratory Data Analysis). This post will cover some useful functions for getting an overview…
Welcome to the continuation of our exploration of database optimization techniques. If you haven't already, be sure to check out our previous blog post on Data Normalization, where we delved…
Photo by Mike on Unsplash To begin with, what is data normalization? Simply put, it's the method of dividing larger tables into smaller, more organized ones, and then establishing connections…
It’s been four weeks since we kicked off our Nimbus traineeship as the second cohort. With three months to go in our initial training, this seems a good moment to…
Non-relational databases are databases that don't store data in a tabular schema. When data structure frequently changes, or when workload reaches millions of transactions per second (i.e. you're dealing with…
Create an effective data pipeline by following this quick and easy introduction to Dynamic Tables. Last week I explained how tasks are a powerful tool when it comes to creating…