We're excited to announce a partnership with The Open Data Team at the NYC Office of Technology and Innovation (OTI), BetaNYC, and Data Through Design (DxD) for a hands-on tutorial focused on one of ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

jupyterlite_beginner_tutorial_with_exercises_v2.ipynb — JupyterLite の基本操作と演習問題。 jupyterlite_xeus_r_stats_practice.ipynb — R 統計演習用 Notebook。 numpy_beginner_tutorial.ipynb — NumPy ...

This beginner-friendly tutorial shows how to create clear, interactive graphs in GlowScript VPython. You’ll learn the basics of setting up plots, graphing data in real time, and customizing axes and ...

Command-line Sales Analytics Dashboard built with Python for the CS50P final project. Analyzes retail data and visualizes business KPIs using Pandas, NumPy, and Matplotlib ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.