Creating 3D Visualizations with Matplotlib in Python
Introduction Data visualization has evolved beyond simple 2D plots, and Matplotlib’s powerful 3D capabilities enable us to create compelling visualizations that bring data to…
Read MoreCategory: Jupyter Notebooks
Categories Jupyter Notebooks
Using Ipywidgets in Jupyter Notebooks
Introduction to Ipywidgets Ipywidgets are a powerful tool that can enhance the interactivity and functionality of Jupyter Notebooks. These widgets allow users to create…
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Creating Charts with Python and Seaborn
Data visualization is a crucial part of understanding and communicating insights from data. Among the many Python libraries available for visualization, Seaborn stands out for its…
Read MoreClassifying Technical Documentation with TensorFlow: Building a GitHub README Classifier
In this tutorial, I’ll walk you through how to build a machine learning system that automatically classifies GitHub README files by programming language. This…
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Interactive Mapping with Python: Building a Transit Visualization using Folium
Folium makes it easy to create beautiful interactive web maps in Python by combining the power of Python’s data handling with the Leaflet.js mapping…
Read MoreGetting Started with Jupyter Notebooks in VS Code
Introduction Jupyter notebooks are powerful interactive computing environments that have revolutionized how we work with data and code. Originally developed for Python (from IPython…
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