Optimization

The Ultimate Cheat Sheet on Splitting Dynamic Redux Reducers

The Ultimate Cheat Sheet on Splitting Dynamic Redux Reducers

This post is specific to need of code-splitting in React/Redux projects. While exploring the possibility to optimise the application, the common problem occurs with reducers. This article specifically focuses on how do we split reducers to be able to deliver them in chunks.

What are the benefits of splitting reducers in chunks?

1) True code splitting is possible

2) A good architecture can be maintained by keeping page/component level reducers isolated from other parts of application minimising the dependency on other parts of application.

A Quick Introduction to Data Analysis With Pandas

A Quick Introduction to Data Analysis With Pandas

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas aims to integrate the functionality of NumPy and matplotlib to give you a convenient tool for data analytics and visualization. It does more than just integration — it makes the usage far more better.

In this blog, I’ll give you a list of useful pandas snippets that can be reused over and over again. These will definitely save you some time that you might need skimming through the comprehensive Pandas docs.