Replace kernels by notebooks

README.md

@@ -1,8 +1,8 @@
 # docker-python
 
-[Kaggle Kernels](https://www.kaggle.com/kernels) allow users to run a Python Notebook in the cloud against our competitions and datasets without having to download data or set up their environment.
+[Kaggle Notebooks](https://www.kaggle.com/notebooks) allow users to run a Python Notebook in the cloud against our competitions and datasets without having to download data or set up their environment.
 
-This repository includes our Dockerfiles for building the [CPU-only](Dockerfile) and [GPU](gpu.Dockerfile) image that runs Python Kernels on Kaggle.
+This repository includes our Dockerfiles for building the [CPU-only](Dockerfile) and [GPU](gpu.Dockerfile) image that runs Python Notebooks on Kaggle.
 
 Our Python Docker images are stored on Google Container Registry at:
 
@@ -13,11 +13,11 @@ Note: The base image for the GPU image is our CPU-only image. The [gpu.Dockerfil
 
 ## Getting started
 
-To get started with this image, read our [guide](http:https://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers/) to using it yourself, or browse [Kaggle Kernels](https://www.kaggle.com/kernels) for ideas.
+To get started with this image, read our [guide](http:https://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers/) to using it yourself, or browse [Kaggle Notebooks](https://www.kaggle.com/notebooks) for ideas.
 
 ## Requesting new packages
 
-First, evaluate whether installing the package yourself in your own Kernels suits your needs. See [guide](https://github.com/Kaggle/docker-python/wiki/Missing-Packages).
+First, evaluate whether installing the package yourself in your own notebooks suits your needs. See [guide](https://github.com/Kaggle/docker-python/wiki/Missing-Packages).
 
 If you the first step above doesn't work for your use case, [open an issue](https://github.com/Kaggle/docker-python/issues/new) or a [pull request](https://github.com/Kaggle/docker-python/pulls).