Added info on Pangeo@EOSC

lectures/1.1_intro_platform/1.1_intro_platform.md

@@ -77,6 +77,9 @@ On top of providing the infrastructure which allows users to do the computations
 3. [Microsoft Planetary Computer](https://planetarycomputer.microsoft.com) is a platform that combines geospatial data and AI capabilities for Earth observation. It provides access to various global datasets, including satellite imagery, climate data, and environmental data. The platform aims to facilitate large-scale data analysis and support sustainable development and conservation efforts.
 4. [Euro Data Cube](https://eurodatacube.com) is a platform on top of various cloud infrastructures to provide an interactive development environment with a standardized access to various EO data. It provides a JupyterLab environment for data exploration and analysis, as well as capabilities to run processing jobs.
 5. [OpenEO Platform](https://openeo.cloud) is a platform based on OpenEO, which aims to standardize and simplify the access and processing of EO data. It provides a unified API and common data model, enabling interoperability across multiple EO data providers and processing backends. The platform allows users to run EO workflows on various cloud-based infrastructure providers.
+6. [Pangeo](https://pangeo.io) is a community platform for big data geoscience built on the Pangeo ecosystem. It aims to foster collaboration among researchers, engineers, research software engineers, and innovators within the open-source scientific Python ecosystem, focusing on Ocean, Atmosphere, Land, and Climate science. There is a strong focus on portability and interoperability, enabling deployments of the Pangeo platform on various infrastructure (laptops, cloud providers, etc.) and providing APIs that allow users to prototype on their laptops and easily scale to the cloud or High-Performance Computers with minimal changes to their code. The current deployment of the Pangeo platform in Europe, [Pangeo@EOSC](https://pangeo-eosc.vm.fedcloud.eu/) is hosted on the [European Open Science Cloud](https://eosc.eu) (EOSC), providing a scalable and collaborative environment for big data analysis and research for all European researchers and their collaborators. 
+
+Different EO platform providers may offer end-users access to specific tools and packages that can be highly beneficial for particular workflows. However, users should carefully evaluate whether the convenience of these tools justifies the potential trade-off of being locked into a particular platform. In some cases, opting for platforms that prioritize portability and openness, like OpenEO or Pangeo, might be more advantageous, especially for those who value flexibility and long-term interoperability across various environments and infrastructures.
 
 ### Summary