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 ...
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Python basics: start your data journey
In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install Python using Anaconda and set up Jupyter Notebook as your code editor. You ...
Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...
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 初級：配列の作成 ...
In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...
In this tutorial, we will guide you through building an advanced financial data reporting tool on Google Colab by combining multiple Python libraries. You’ll learn how to scrape live financial data ...
We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...
Why is Python so important to data science today? Its simplicity, versatility, and robust support system have made it almost indispensable for data scientists, with Python now appearing as a ...
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