Python is one of the world’s most popular programming languages. Specifically, Python for finance is arguably the world’s most popular language-application pair. This is because of the robust ecosystem of packages and libraries that makes it easy for developers to build robust financial applications. In this tutorial, you will learn how to import historical stock […]
In this guest post, we will learn about random and extremely random forests classification in Python.
In this post, we introduce a generalization of the concept of subroutines, known as coroutines: just like subroutines, coroutines compute a single computational step, but unlike subroutines, there is no main program to coordinate the results. The coroutines link themselves together to form a pipeline without any supervising function responsible for calling them in a particular order.
Learn about probabilistic programming in this guest post by Osvaldo Martin, a researcher at The National Scientific and Technical Research Council of Argentina (CONICET) and author of Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition. This post is based on an excerpt from the second chapter
Learn three data manipulation techniques with Pandas in this guest post by Harish Garg, a software developer and data analyst, and the author of Mastering Exploratory Analysis with pandas. Modifying a Pandas DataFrame Using the inplace Parameter In this section, you’ll learn how to modify a DataFrame using the inplace parameter. You’ll first read a real dataset into