The full documentation is here. The purpose of this project is to allow easy plotting of curly brace between two points when using matplotlib. This feature is not built into matplotlib (also, not ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Simply collecting data is not enough. You can fill spreadsheets with data, but it's useless if you can't act on it. Regression is one of the most powerful statistical tools for finding relationships ...

This scheme has consistently delivered the best returns in its ELSS (Tax Savings) category across . This scheme has amongst the Highest Assets Under Management (₹32,930.15 Crores) among its peers in ...

Axis Bank Limited (the Bank) is a private sector bank. The Bank’s segments include Treasury, Retail Banking, Corporate/Wholesale Banking and Other Banking Business. Treasury operations include ...

No matter how you slice it, chopping firewood isn’t easy, but a good splitting axe makes all the difference. Wood splitting tools come in a wide array of styles, lengths, and weights, so you have ...

supervenn is a matplotlib-based tool for visualization of any number of intersecting sets. It supports Python sets as inputs natively, but there is a simple workaround to use just intersection sizes.

Generating publication-ready illustrations is a labor-intensive bottleneck in the research workflow. While AI scientists can now handle literature reviews and code, they struggle to visually ...

This scheme has achieved the highest returns in its Sector - Precious Metals category over 7Y. This scheme has maintained a relatively low level of volatility within its Sector - Precious Metals ...