Explore live open-source projects and AI models.

A curated collection of tutorials, projects, and resources for learning data science, covering Python, statistics, machine learning, and data visualization. Includes hands-on exercises and datasets to build practical skills for aspiring data scientists.

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consi... Read more

PyLabFlow is a Python framework for managing, tracking, and reproducing complex computational experiments. Built for researchers, data scientists, and ML engineers, it provides component-level lineage, modular pipelines, and offline-first execution, making it easy to run, compare, and debug hundr... Read more

A quick introduction to Python for Scientists and Engineers

Applied Python Programming for Life Scientists

plotly-scientific-tools is meant to augment the plotly and dash visualization libraries for python. It is designed to combine rapid and beautiful data visualizations along with statistical analysis for research scientists and data scientists.

A fully interactive data storytelling dashboard for e-commerce analytics. Built with Python, Streamlit, and Plotly, it transforms transactional data into actionable insights through KPIs, cohort retention, RFM segmentation, and global visualizations, perfect for analysts and data scientists.

Python Tips for Data Scientist

Guide to python package development for scientists

Repository of all the python codes for the Book : Practical Statistics for Data Scientists.