bomboradata/bombora-tutorials

Name: bombora-tutorials

Owner: Bombora

Description: Notebooks for learning general concepts regarding Bombora interfaces, services and data schemas.

Created: 2016-07-14 15:44:45.0

Updated: 2017-08-09 20:20:11.0

Pushed: 2016-07-14 20:37:05.0

Homepage: null

Size: 217

Language: Jupyter Notebook

GitHub Committers

UserMost Recent Commit# Commits

Other Committers

UserEmailMost Recent Commit# Commits

README

Bombora Tutorials

Notebooks for learning general concepts regarding Bombora interfaces, services and data schemas.


Overview

Bombora has an ever-increasing surface area of client-exposed interfaces, datasets, and services. As our data product suite is further refined, clients desiring to engage on a more technical level require more complete definitions to grok complex concepts.

To ensure we're meeting the needs of such clients, we've created Bombora Tutorials: a technical knowledge base of for such Bombora topics, provided in an format that easily integrates with modern analysis and development workflows (e.g., versioned datasets, code base and notebooks).

Bombora Tutorials leverage Jupyter Notebooks an open source notebook format for conveying that has wide industry adoption, and are natively rendered within GitHub. Additionally, we make extensive use of Python, the lingua franca of open source data analysis. If

All content here is free (as in speech) for use. Have at it, by all means. :)

Installation

Feel free to go it alone, however, one can also make their life easier by following two steps

  1. Install miniconda, a very minimal distribution of anaconda and conda.

  2. Bootstrap environment (get up and running quickly), via:

one repo
t clone https://github.com/bomboradata/bombora-tutorials.git
 bombora-tutorials
setup conda-based environment
nda env create --file=environment.yml
urce activate bombora-tutorials
launch jupyter
pyter notebook

Remember to deactivate your environment source deactivate when done!


TOC
- Topic Interest Score (aka. Surge) Datasets

Created with soul from Bombora Data Science.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.