Fix links in the restaurant colab (OpenMined#251)

examples/restaurant_visits.ipynb

@@ -39,7 +39,7 @@
       },
       "source": [
         "# About this codelab\n",
-        "This codelab demonstrates the core functionality of PipelineDP. The codelab targets users who would like to apply an end-to-end solution to their dataset regardless of their level of knowledge of differential privacy (DP). We recommend all readers take a look at the [“Background”](https://colab.sandbox.google.com/drive/15A71Dm8Zi1EPOOUlTrNUlPf-CFsv8a5D?usp=asogm#scrollTo=Background) section which contains the key definitions. For users who have some experience with DP, we recommend starting with the “[Framework-specific API](https://colab.sandbox.google.com/drive/15A71Dm8Zi1EPOOUlTrNUlPf-CFsv8a5D?usp=asogm#scrollTo=Framework_specific_API_Beam)” section. It explains how to run the basic differentially private aggregations such as count and sum on Apache Beam and Spark. For the reader who would like to have more flexibility and try some “advanced” DP features, we recommend reading the [“Core API”](https://colab.sandbox.google.com/drive/15A71Dm8Zi1EPOOUlTrNUlPf-CFsv8a5D?usp=asogm#scrollTo=Core_API) section. It demonstrates how to design a generic pipeline that can be used with various execution engines. All readers should run the instructions in [“Install dependencies”](https://colab.sandbox.google.com/drive/15A71Dm8Zi1EPOOUlTrNUlPf-CFsv8a5D?usp=asogm#scrollTo=Install_dependenciesand_download_data) and [“Load and inspect the data”](https://colab.sandbox.google.com/drive/15A71Dm8Zi1EPOOUlTrNUlPf-CFsv8a5D?usp=asogm#scrollTo=Load_and_inspect_the_data) in order to prepare their environment.\n"
+        "This codelab demonstrates the core functionality of PipelineDP. The codelab targets users who would like to apply an end-to-end solution to their dataset regardless of their level of knowledge of differential privacy (DP). We recommend all readers take a look at the [“Background”](https://colab.sandbox.google.com/github/OpenMined/PipelineDP/blob/main/examples/restaurant_visits.ipynb#scrollTo=Background) section which contains the key definitions. For users who have some experience with DP, we recommend starting with the “[Framework-specific API](https://colab.sandbox.google.com/github/OpenMined/PipelineDP/blob/main/examples/restaurant_visits.ipynb#scrollTo=Framework_specific_API_Beam)” section. It explains how to run the basic differentially private aggregations such as count and sum on Apache Beam and Spark. For the reader who would like to have more flexibility and try some “advanced” DP features, we recommend reading the [“Core API”](https://colab.sandbox.google.com/github/OpenMined/PipelineDP/blob/main/examples/restaurant_visits.ipynb#scrollTo=Core_API) section. It demonstrates how to design a generic pipeline that can be used with various execution engines. All readers should run the instructions in [“Install dependencies”](https://colab.sandbox.google.com/github/OpenMined/PipelineDP/blob/main/examples/restaurant_visits.ipynb#scrollTo=Install_dependencies_and_download_data) and [“Load and inspect the data”](https://colab.sandbox.google.com/github/OpenMined/PipelineDP/blob/main/examples/restaurant_visits.ipynb#scrollTo=Load_and_inspect_the_data) in order to prepare their environment.\n"
       ]
     },
     {
@@ -421,7 +421,7 @@
       },
       "source": [
         "# Core API\n",
-        "Before executing instructions in this section, please make sure you’ve run [“install dependencies”](https://colab.sandbox.google.com/drive/15A71Dm8Zi1EPOOUlTrNUlPf-CFsv8a5D?usp=asogm#scrollTo=Install_dependenciesand_download_data) and [“Load and inspect the data”](https://colab.sandbox.google.com/drive/15A71Dm8Zi1EPOOUlTrNUlPf-CFsv8a5D?usp=asogm#scrollTo=Load_and_inspect_the_data) to configure your workspace.\n",
+        "Before executing instructions in this section, please make sure you’ve run [“install dependencies”](https://colab.sandbox.google.com/github/OpenMined/PipelineDP/blob/main/examples/restaurant_visits.ipynb#scrollTo=Install_dependencies_and_download_data) and [“Load and inspect the data”](https://colab.sandbox.google.com/github/OpenMined/PipelineDP/blob/main/examples/restaurant_visits.ipynb#scrollTo=Load_and_inspect_the_data) to configure your workspace.\n",
         " \n",
         "PipelineDP allows users to define a generic anonymization pipeline that can be run on different pipeline frameworks. In this section we demonstrate how to define a pipeline and run it locally. The pipeline definition includes the following steps: \n",
         "1. Select the framework on which the pipeline will be run (e.g., local or Beam).\n",
@@ -792,7 +792,7 @@
       },
       "source": [
         "# Framework-specific API: Beam\n",
-        "Before executing instructions in this section, please make sure you’ve run [“install dependencies”](https://colab.sandbox.google.com/drive/15A71Dm8Zi1EPOOUlTrNUlPf-CFsv8a5D?usp=asogm#scrollTo=Install_dependenciesand_download_data) and [“Load and inspect the data”](https://colab.sandbox.google.com/drive/15A71Dm8Zi1EPOOUlTrNUlPf-CFsv8a5D?usp=asogm#scrollTo=Load_and_inspect_the_data) to configure your workspace.\n"
+        "Before executing instructions in this section, please make sure you’ve run [“install dependencies”](https://colab.sandbox.google.com/github/OpenMined/PipelineDP/blob/main/examples/restaurant_visits.ipynb#scrollTo=Install_dependencies_and_download_data) and [“Load and inspect the data”](https://colab.sandbox.google.com/github/OpenMined/PipelineDP/blob/main/examples/restaurant_visits.ipynb#scrollTo=Load_and_inspect_the_data) to configure your workspace.\n"
       ]
     },
     {