Pyomo is another flexible Open Source optimisation modelling language for Python. It can be used to define, solve, and analyse a wide range of optimisation problems, including Linear Programming (LP) and Mixed-Integer Programming (MIP), nonlinear programming (NLP), and differential equations. 📢 The book Hands-On Mathematical Optimization with Python (available free online) ...

CVXPY is a powerful, Open Source optimization modelling library for Python. It provides an interface for defining, solving, and analysing a wide range of convex optimization problems, including Linear Programming (LP), Quadratic Programming (QP), Second-Order Cone Programming (SOCP), and Semidefinite Programming (SDP).

SciPy is a general-purpose scientific computing library for Python, with an optimize module for optimisation.

In a previous post I looked at the HTTP request headers used to manage browser caching. In this post I’ll look at a real world example. It’s a rather deep dive into something that’s actually quite simple. However, I find it helpful for my understanding to pick ...

A few days ago I wrote about a scraper for gathering economic calendar data. Well, I’m back again to write about another aspect of the same project: acquiring earnings calendar data.

I needed an offline copy of an economic calendar with all of the major international economic events. After grubbing around the internet I found the Economic Calendar on Myfxbook which had everything that I needed.