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  • Machine Learning for Developers
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  • Serverless + Data
  • Working with JSON
  • Team
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Partners + Data / Collection

Mapbox

Putting maps to work, on your data.

Raj Singh
Partners are my jam.
More by Raj Singh

Location is built into the fabric of our daily experiences. Whether you’re exploring a city with Lonely Planet, checking the forecast on Weather.com, tracking breaking news on Bloomberg, or checking your ETA in Lyft — location is essential to every one of these applications, and they’re powered by Mapbox.

Mapbox offers fanatastic solutions for web mapping and spatial data visualization. We’ve partnered with them to create a host of demos that demonstrate two powerful solution spaces:

  1. Scalable web mapping with GeoJSON data in Cloudant
  2. Map-based spatial data visualization with Python, Spark, Jupyter and IBM Data Science Experience

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Mapbox crafts beautiful maps and developer-friendly location data, APIs, and SDKs so that you’re free to focus on designing, building, and developing your application. Their open-source tools make it easy to analyze big geo data with IBM’s analytics tools.

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Projects

  • Analyzing Data with IBM Cloud SQL Query
    Medium | Notebook

    Easily make SQL queries on your object storage data.

    • Object Storage
    • Cloud SQL Service
    • PixieDust
    • Jupyter Notebook
    • Python
    • Mapbox
  • Building an API Cache with Redis and Node
    GitHub | Medium

    How to optimize API usage in a college search example application.

    • Compose
    • Redis
    • Nodejs
    • Mapbox
  • Mapping for Data Science with PixieDust and Mapbox
    Notebook | Medium

    Add another layer to your Jupyter notebooks with built-in map rendering.

    • Jupyter Notebook
    • Apache Spark
    • Mapbox
    • PixieDust
  • Navigating SXSW via Cognitive Chatbot
    GitHub | Medium

    A smarter conference event recommendation system using Watson services and Mapbox.

    • Cloudant
    • Chatbots
    • Mapbox
    • Slack
    • Vuejs
    • Watson Conversation
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