Practical Optimizations for Pandas — In this guide, I am going to show you some of the most common pitfalls that can cause otherwise perfectly good Pandas code to be too slow for any time-sensitive applications, and walk through a set of tips and tricks to avoid them. Let’s remind ourselves what is pandas, apart…

Increasing productivity in Jupyter notebooks using debugging — Naive Way — Logging We all encounter bugs in our code while developing programs, logging is a great way to debug our code and probably the most intuitive one. A normal way to do that is to add the print statement in your code which helps us track down the source of many issues. …

Search In Practice- Approximate Nearest Neighbors Nearest Neighbors Motivation Today as users consume more and more information from the internet at a moment’s notice, there is an increasing need for efficient ways to do search. …

Enabling Semantic Queries In SQL Using Word Embedding In today’s world, there is an increase in the demand for Machine Learning. This leads to tremendous efforts to reduce the skills/efforts needed for these tasks. …

Writing your own flavor of Pandas In this article, you’ll learn how to tailor pandas API to your business, research, or personal workflow using by using pandas_flavour. Pandas-flavor is a library that introduces API for extending Pandas. This API handled the boilerplate code for registering custom accessors/methods onto Pandas objects. But in this article, I will…

Time complexities Of Python built-in data structures — Data structures are just specialized formats for organizing and storing data. They are a vital part of software development and choosing the right data structure is crucial. “Bad programmers worry about the code. Good programmers worry about data structures and their relationships.” — Linus Torvalds, creator of Linux One of…

A curated list of awesome libraries In my experience as a Python user, I’ve come across a lot of different packages and curated lists. Some are in my bookmarks like the great awesome-python-data-science curated list, or awesome-python curated list. If you don’t know them, go check them out asap. In this post, I’d like to show…