The Google Cloud Datastore Python Library allows developers to integrate the Google Cloud Datastore API's functions into their Python applications. Developers can easily view the source code for each of the methods the library covers online.
Last week I had the pleasure of attending the O’Reilly Strata Conference in New York City, and sat in on a very important keynote from Drew Conway and Jake Porway about their project, Data Without Borders.
Data Without Borders is looking to match non-profits in need of data analysis with freelance and pro bono data scientists who can work to help them with data collection, analysis, visualization, or provide decision support.
This portion of our series about the Most Interesting APIs in 2018 encompasses all APIs developers could utilize for data manipulation purposes, such as accessing data, extracting data from web sources, creating reports and visualizations, database administration, linking data in apps, and more.
Thousands of researchers, entrepreneurs, and executives need to tap into Web data to deliver insights. Access to structured Web data tends to be limited at best, and heavily gated by billion dollar corporations. Consuming crawled web data with an API usually makes more sense for businesses.