Vizs & Tips

Plot your Smoothing Splines regression easily with R! From base stats to ggplot2 geom_smooth(). We show you how to deal with it!

Plot your confidence intervals easily

Optimizing Data Cleanup: Filtering Rows by Null Percentage in Python Polars. Manage NAs with precision.

Unlock the Full Potential of Polars for Seamless JSON Data Handling.

Efficient Data Arrangement: Learn to Sort DataFrames and Series Seamlessly with Python Polars.

Strip uppercases in Python strings. Elevate Your Python Basics: A Beginner's tip with strip() and string.ascii_uppercase.

The error message 'cannot import name multihostdsn from pydantic.networks' is caused for the new Pydantic v2 conflicting with the Pydantic v1. Fix it by reading this post!

Mastering Column Selection in Python. Polars Selectors for Efficient DataFrame Handling.

Using apply with lambda functions is less performant than the native Polars API functions. Now, you are warned about it and are presented with a more efficient alternative.

Unlocking the Power of Python Polars: A Comprehensive Guide to Selecting and Manipulating Datetime Columns with Selectors and dst_offset.

Creating an interactive datetime Slider with Python Streamlit. As easy as pie

Whirling Vectors in Ursina: Spin Your Way to 3D Awesomeness!

Learn to create or modify many variables at the same time applying any function with modern R tools like across and tidyselectors

Are you exploring Polars as an alternative to Pandas? We love it for the pipe flow feeling! Learn in 3 lines how and when to use it.

While R provides functions like lag, creating multiple lags can be challenging. In this blog post, we will explore how to use the unknown partial function to create multiple lags in R for Time Series Analysis

Boost Your Testing Mojo: Unleash the Power of Mock Celery Tasks in PyTest

Are you trying to add recursive file in folder while using Git? Here is a one-liner to do so.

Going over the basics

Label transformer in SKlearn

Explaining summarise hidden behaviour