Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph.

This repository contains a comprehensive Python implementation of panel data analysis and model comparison using the statsmodels library. The project aims to analyze a panel dataset of wages and ...

357.1875] degrees_east : height(1) = [2.0] m If you use cfdm, either as a stand-alone application or to provide a CF data model implementation to another software library, please consider including ...

SQLAlchemy 2.0, released early in 2023, introduced a new API and data modeling system that plays well with Python’s type linting and data class systems. SQLAlchemy uses a two-level internal ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Neptyne is different in that it packs a Python-based spreadsheet ... “A lot of important modeling and calculations today is hidden in complex spreadsheets or data processing systems and ...

Python-based toolbox that accompanies the contents covered in the book, as well as the necessary code and data Model-Based Reinforcement Learning is a useful reference for senior undergraduate ...