-- My own background -- Getting started -- How to run R -- A first R session -- Introduction to functions -- Preview of some important R data structures -- Extended example: regression analysis of ...

Developers are still using Python for data tasks and AI, but many are still using older releases, putting productivity at risk.

Beyond big projects, doing smaller, focused exercises is super helpful. GeeksforGeeks has tons of these, covering everything ...

Programming is a key transferable skill within the chemical sciences with applications supporting data acquisition, as a tool for chemical and spectroscopic analysis and as an environment for ...

Overview This project implements sparse data structures (1D sparse array and 2D sparse matrix) using doubly linked lists. Instead of storing large arrays and matrices full of zeros (wasting time and ...

Lightweight finite element analysis (FEA) portfolio in Python. Implements T3, Q4, and T6 elements with shape functions, isoparametric mapping, constitutive models, stiffness matrices, and global as ...