Python-bloggers

Data reshaping is a vital task in modern data analysis. Data analysts can handle complex data transformations quickly with dcast and variable labels in data.table R. The data.table package provides powerful tools to restructure datasets. These tools help professionals work with large-scale data manipulation tasks in R. This ...

Gradient boosting with any regression algorithm in Python and R package mlsauce. Part4, Time series forecasting

The digital world of JavaScript frameworks keeps changing. Developers face tough choices between Next.js, Vite, and Angular when building modern web applications. These frameworks come with their own special features that can make or break project success. Teams need to review these options carefully before making decisions about their 2024 ...

Mobile apps just need to use screen space well and keep users involved. Developers often struggle to show more information without making the interface messy. React Native’s expandable icon components offer a great solution. These components help apps present content in a clean way that lets users access extra ...

On Day 15 we adjusted our model to use more recent data to forecast the 12-week look forward return. As before, we used that forecast to generate a trading signal that tells us to go long the SPY if the forecast is positive, and exit (or short for t...

On Day 14 we showed how the trading model we built was snooping and provided one way to correct it. Essentially, we ensure the time in which we actually have the target variable data aligns with when the trading signals are produced. We then used th...

A scatterplot is a chart that displays the relationship between two variables by plotting data points along the X and Y axes, with each point representing a unique pair of values. By conditionally formatting points based on their category, we can reveal patterns, clusters, or outliers, making it easier to ...

K-Nearest Neighbours algorithm doesn’t deal very well with high-dimensional data and complex decision boundaries. Data points’ meaningful relationships often escape traditional distance metrics, which results in suboptimal classification. KNN with RBF metric solves these limitations by changing the feature space into a better format for similarity calculations. Our readers ...

Guess what? The model we built in our last post actually suffers from snooping. We did this deliberately to show how easy it is to get mixed up when translating forecasting models into trading signals. Let’s explain. Our momentum model uses a 12-wee...

We’re thrilled to announce the release of Tapyr 0.2, a major update that incorporates valuable feedback from the Shiny for Python developer community. Learn how Tapyr enhances Shiny for Python in our Open Source Spotlight. See how it simplifies deployment for Shiny apps. This version focuses on improving the developer ...