programemr-book
importedsoftware/programemr-book
Example source code accompanying O'Reilly's "Programming Elastic MapReduce: Using AWS services to build an end-to-end application" by Christopher Phillips and Kevin Schmidt
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- OReillyProgrammingElasticMapReduce
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- data-analysis · emr
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
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ClinTrialFinder — AI-powered clinical trial matching. Uses GPT-4.1-mini for eligibility scoring, Perplexity AI for evidence lookup, and suitability-based ranking. Try it at clintrialfinder.info
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Python package for analysis and visualization of functional ultrasound imaging data.
- CSBB-Shinydata-analysis
Computational Suite for Bioinformaticians and Biologists (CSBB) is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics…
- EEG-pylinedata-analysis
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
- EEGEdudata-analysis
Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse
- ehrdatadata-analysis
A datastructure for EHR data
- api.github.com/repos/OReillyProgrammingElasticMapReduce/programemr-bookretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2014-05-10, 4 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/61.json→ .entries["programemr-book"]
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