Python-bloggers

Working with Python’s pandas library often? This resource will be worth its length in gold! Kevin Markham shares his tips and tricks for the most common data handling tasks on twitter. He compiled the top 100 in this one amazing overview page. Find the hyperlinks to specific sections below! Quicklinks ...

On a late evening, I was scrolling through Reddit and came across a news article about “Why Bill Gates wants us all to get vaccinated?”. The news site looked legitimate. I was half way through the article and saw quite a few grammatical errors. Me being lurker, I switched to ...

In our last post, we took a quick look at building a portfolio based on the historical averages method for setting return expectations. Beginning in 1987, we used the first five years of monthly return data to simulate a thousand possible portfolio ...

As some of you may or may not know, Hackkerank is a website that offers a variety practice questions to work on your coding skills in an interactive online environment. You can work on a variety of languages like, Java, C, C++, Python and more! There are a lot of ...

In our last post, we compared the three most common methods used to set return expectations prior to building a portfolio. Of the three—historical averages, discounted cash flow models, and risk premia models—no single method dominated the others on...

Modern AI tools have made it very easy to build robust customized chatbots. In the third part of this series on chatbots, we take a closer look at AI based chatbots and learn to build one using a popular library in Python.

In this great tutorial for PyCon 2020, Eric Ma proposes a very simple framework for machine learning, consisting of only three elements: Model Loss function Optimizer By adjusting the three elements in this simple framework, you can build any type of machine learning program. In the tutorial, Eric shows you how ...