Welcome to the Development Data Partnership!
A partnership between international organizations and companies, created to facilitate the use of third-party data in research and international development.
Probably you are looking where to start, so if:
- You have an account on GitHub.
- You are a member of the Partnership's organization on GitHub. If not, drop us a line.
A curated list of the Development Data Partnership public data goods and derivative works.
Data documentation repositories curated for each Development Partner, based on their signed license agreements.
Links to each Data Partner's Documentation:
Important: The documentation may NOT be shared with persons outside of your organization.
The Partnership maintains a Python package that offers partner-specific and general helper functions.
Before installing the package, you will have to:
Unfortunately, the package not public, so you will have to be authenticated via GitHub.
Now you are ready to
pip install! It is strongly recommended that you create a virtual environment.
pip install git+ssh://email@example.comfirstname.lastname@example.org
Now you should have datapartnership installed on your environment.
>> import datapartnership >> datapartnership.__version__ 0.2.0
See examples on the documentation.
Can I use https instead?
ssh. Alternatively, you can change your global settings to use
That way, you will be able to login with your
password. If you are using two-factor authentication on GitHUb, you will have to create a personal token.
Now change your global settings,
git config --global url."https://github.com/".insteadOf "email@example.com:" git config --global credential.helper cache
Finally, while installing, use
git+https://github.com/ instead of
git+ssh://firstname.lastname@example.org/. For example,
pip install git+https://github.com/datapartnership/datapartnership.git
Our documentation follows the literate programming paradigm.
Literate programming is a programming paradigm introduced by Donald Knuth in which a computer program is given an explanation of its logic in a natural language, such as English, interspersed with snippets of macros and traditional source code, from which compilable source code can be generated. Wikipedia