SenseCity Africa

Crowdsensing urban data in Africa - sensecity-africa.io

Instructions

Running locally

From the root of this repository, follow the steps below:

1. Create a conda environment

make create_environment

2. Activate it

conda activate sensecity-africa

3. Register the IPython kernel for Jupyter

make register_ipykernel

4. Create a file named .env with the following content (to avoid disclosing your login credentials, remember to exclude such a file from version control):

USERNAME=<your-sensecity-africa-username>
PASSWORD=<your-sensecity-africa-password>

At this point, you can run the notebooks/photos-api.ipynb notebook to programatically download the photos and tags of the site.

Running in the browser via myBinder

Alternatively, you can run the notebook in the browser (using myBinder):

1. Click the following badge to run a jupyter instance in the browser:

2.Create a file named .env in the root of the repository with the following content:

USERNAME=<your-sensecity-africa-username>
PASSWORD=<your-sensecity-africa-password>

At this point, you can run the notebooks/photos-api.ipynb notebook to programatically download the photos and tags of the site.

Acknowledgments

• Project based on Henk Griffioen's version of the cookiecutter data science project template. #cookiecutterdatascience