For the past few months, I've been covering different software packages for scientific computations. For my next several articles, I'm going to be focusing on using Python to come up with your own ...

This repository contains the experiments and exercises with various numerical methods for root-finding, optimization, differentiation and integration. Some of these methods are applied to solving ...

Python is a general purpose programming language. This course covers the basics, linear algebra, plotting, and more to prepare students for solving numerical problems with Python. Python is a viable ...

Python has many great advantages that leads to it being the programming language of choice for a large range of users. However, it is an inherently inefficient language and performing extensive ...

Abstract: Numerical stability is a crucial requirement of reliable scientific computing. However, despite the pervasiveness of Python in data science, analyzing large Python programs remains ...

Basic knowledge of Python is essential. Ideally an attendee will have used Python intensively for at least three months prior to attending this course. Python users who are already familiar with NumPy ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...