Скачать или смотреть How to Use Ipyleaflet to Create an Interactive Map in Jupyter with CoCalc

What You'll Learn:
Discover how to use Ipyleaflet to create dynamic, interactive maps within a Jupyter notebook in CoCalc. Learn the basics of plotting maps, setting center coordinates, and customizing views using Python.

Discover More:
📄 CoCalc Documentation: https://doc.cocalc.com/index.html
🌐 CoCalc Website: https://cocalc.com/
🛍 CoCalc Store: https://cocalc.com/store

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Transcription:

Hello everyone, my name is Blaec Bejarano. Today, I'll demonstrate how to create an interactive map using Ipyleaflet within CoCalc. Visit cocalc.com to follow along.

1. Open your existing project or create a new one in CoCalc. You can share this workspace with collaborators via the user panel.

2. Create a new Jupyter notebook by clicking the '+New' button. Name your notebook and choose Python 3 as your kernel.

3. Import the necessary libraries to begin mapping:

```python
from ipyleaflet import Map
```

4. Initialize a map centered on Seattle, Washington:

```python
seattle_map = Map(center=(47.6097, -122.3331), zoom=10)
seattle_map
```

5. Use CoCalc's AI assistant to find geographical coordinates or add overlays and markers.

With these steps, you've created a simple interactive map centered on Seattle using Ipyleaflet in CoCalc. Please like, subscribe, and follow for more tutorials. See you next time. Thanks again!

Tags: #cocalc #ipyleaflet #interactivemaps #jupyternotebooks #datavisualization #datascience #coding #opensource #cloudcomputing #education