By Eliana Lopez This repository contains a deep dive on Data Structures and Algorithms theory and concepts along with Python based examples of many popular algorithms and data structures.

Understanding data structures and algorithms is still super important for making software. They're like the foundation for writing code that's quick and scales well, which helps you build better apps.

Master data structures and algorithms with our top 10 book recommendations. Improve your coding skills and become a proficient programmer.

This repository contains my solutions and notes for the NPTEL Programming, Data Structures And Algorithms Using Python course. The course covers fundamental, intermediate programming, data structures, ...

Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results.

BMLL has partnered with Kepler Cheuvreux to provide its Quant Research and Algo Development Teams with access to the BMLL Data Lab and granular Level 3 Data to carry out in-depth order book analytics ...