StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

This documentation covers details of the Python bridge / SDK provided by SAMCO, for accessing the SAMCO Stocknote APIs. The primary purpose of this Python Bridge is to help our customers quickly ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...

Steel base plates are placed under steel columns to safely transfer the design forces to the foundations. When steel columns bear heavy loads with small cross-sections, directly applying the loads to ...

Hello there! 👋 I'm Jin, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI As a data analyst, it's common to work extensively with DataFrames, the cornerstone ...

PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...

Pastas is an open-source Python framework designed for processing, simulation and analysis of hydrogeological time series models. It has built-in tools for statistically analyzing, visualizing and ...