Neovim plugin that launches a Jupyter/IPython console in a split to run files, lines, and Spyder‑IDE‑style runcells, with a ZMQ‑powered variable explorer and data viewer.

This project is focused on predicting machine failures in a manufacturing setting using classification models trained on sensor data. The dataset includes features such as tool wear, rotational speed, torque, and temperatures, and the goal is to classify the type of failure a machine is likely to experience.

The new Spyder website, built with Svelte

In-progress developer docs for Spyder's new plugin API

Data Professions salaries - Full Analysing and Data Science

🎯 Develop a deep learning model to accurately predict breast cancer using PyTorch, achieving approximately 97% accuracy for improved early detection.

Learn 📚 Python 🐍 by Doing in 2025 🤓 • Python v3.12.3 @ DAT Linux 2.0 🚀 ✔️

Learning Python for Scientific Programming. Intended for beginners with some knowledge of Python.

University project within the Medical Imaging course: based on a selected image dataset (Skin Cancer MNIST: HAM10000), various methods of image processing and enhancement were used, including contrast adjustment, lesion segmentation, as well as the application of morphological operations, using the Python programming language

How to build a Docker container with tensorflow, Spyder IDE, jupyter etc. With GPU support !

A container based on miniconda with spyder preinstalled

This deep learning project for breast cancer detection using PyTorch. It performs exploratory data analysis to understand patterns and distributions, followed by preprocessing and feature scaling. A neural network is then trained (with GPU support) to predict diagnoses from clinical data.