HandleException is the solution to cumbersome try-catch blocks in Python. Say goodbye to messy error handling code and hello to clean and efficient exception handling with HandleException. With its simple and intuitive interface, you’ll never want to go back to traditional error handling methods. Start using HandleException today and make…

Originally posted September 2021 on the Split Blog When writing APIs, REST (short for representational state transfer) is considered the standard. And yet, REST itself isn’t actually a standard. This makes designing intuitive REST APIs tricky to get right. It is a way of thinking or an art form more…

Recently I was tasked with creating subnets across all our 9 environments. Each environment is deployed to 3 availability zone, with about 14 standard subnets in total to manage our different services. Some environments tend to have a few more subnets added to the standard subnets. To be able to…

6 Python mistakes you need to fix to become a better programmer — It is undeniable that Python might be one of the easiest languages to learn and use. It is a high-level, multi-purpose programming language. This has contributed to it being extremely popular and has seen a lot of growth in the recent years, especially with the advent of data science. However…

A step towards data analysis run-time optimization — The motivation to design and build real-world applicable machine learning models has always intrigued Data Scientists to leverage optimized, efficient, and accurate methods at scale. Optimization plays a foundational role in sustainably delivering real-world and user-facing software solutions. While I understand that not everyone is building solutions at scale, awareness…

It’s time to say goodbye to pd.to_csv() and pd.read_csv() — Building an end-to-end data-driven pipeline is challenging and demanding. Having been there myself, the process is extremely tedious, and one may inevitably end up with numerous intermediate files. While these files are usually meant to serve as checkpoints or assist further modules in the pipeline, one might be unknowingly compromising…

Discussing another major caveat of Pandas — Input-output operations with Pandas to a CSV are serialized, making them incredibly inefficient and time-consuming. It's frustrating when I see ample scope for parallelization here, but unfortunately, Pandas does not provide this functionality (yet). …