Python-bloggers

Over the last few posts, we’ve discussed methods to set return expectations to construct a satisfactory portfolio. These methods are historical averages, discounted cash flow models, and risk premia. our last post, focused on the third method: risk ...

Last week, I shared this Medium blog on PPS — or Predictive Power Score — on my LinkedIn and got so many enthousiastic responses, that I had to share it with here too. Basically, the predictive power score is a normalized metric (values range from 0 to 1) that shows you to what extent ...

If you are looking for a project to build a bot or AI application, look no further. Enter the stage, PyBoy, a Nintendo Game Boy (DMG-01 [1989]) written in Python 2.7. The implementation runs in almost pure Python, but with dependencies for drawing graphics and getting user interactions through SDL2 and NumPy. ...

Book publisher Springer just released over 400 book titles that can be downloaded free of charge following the corona-virus outbreak. Here’s fhe full overview: https://link.springer.com/search?facet-content-type=%22Book%22&package=mat-covid19_textbooks&facet-language=%22En%22&sortOrder=newestFirst&showAll=true Most of these books will normally set you back about $50 ...

Our last post discussed using the discounted cash flow model (DCF) as a method to set return expectations that one would ultimately employ in building a satisfactory portfolio. We noted that if one were able to have a reasonably good estimate of the cash flow growth rate of an asset, ...

A target-based categorical encoder for Statistical/Machine Learning (based on correlations)

So RStudio Connect has embraced Python and now runs Flask applications! At Jumping Rivers we make a lot of use of R, shiny, and Python for creating visual tools for our clients. Shiny has a lot of nice features, in particular it is very fast for prototyping web applications. Over ...

Rule-based chatbots are one of the earliest types of chatbots developed - dating back to the early 1960s. In the second part of this series on chatbots, we take a deeper look into how these chatbots work and how we can build one in Python.

After our little detour into GARCHery, we’re back to discuss capital market expectations. In Mean expectations, we examined using the historical average return to set return expectations when constructing a portfolio. We noted hurdles to this approach due to factors like non-normal distributions, serial correlation, and ultra-wide confidence intervals. ...