Pinned Repositories
docker-library
Collection of Dockerfiles
gv-sitemap
Create a sitemap image using Graphviz
kword
scidb-examples
SciDB examples used in the Thinking in SciDB blog
rvernica's Repositories
rvernica/docker-library
Collection of Dockerfiles
rvernica/gv-sitemap
Create a sitemap image using Graphviz
rvernica/scidb-examples
SciDB examples used in the Thinking in SciDB blog
rvernica/kword
rvernica/arrow
Apache Arrow is a columnar in-memory analytics layer designed to accelerate big data. It houses a set of canonical in-memory representations of flat and hierarchical data along with multiple language-bindings for structure manipulation. It also provides IPC and common algorithm implementations.
rvernica/arrow-dist
Apache Arrow
rvernica/aws-doc-sdk-examples
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.rst file below.
rvernica/django-constance
Dynamic Django settings.
rvernica/django-rest-framework
Web APIs for Django. ⚡️
rvernica/docker-django
Docker Official Image packaging for django
rvernica/markdown-toc
Generate a markdown TOC (table of contents) for a README or any markdown files, using remarkable. Used by assemble, verb, and lots of other projects on GitHub. API and CLI.
rvernica/mediawiki-parser
An experimental Python parser for MediaWiki syntax with a focus on extensibility and comprehensibility
rvernica/Multicorn
Data Access Library
rvernica/packages.red-data-tools.org
The source of packages.red-data-tools.org
rvernica/Peaks
:exclamation: This is a read-only mirror of the CRAN R package repository. Peaks — Peaks
rvernica/SciDB-Py
Python wrapper for SciDB queries
rvernica/scidb-string
Sample string-manipulation plugin for SciDB.
rvernica/SFPD-Loves-Spark
Predict crime incidents in San Francisco and build a heat-map to be used by San Francisco Police Department.
rvernica/training
Reference implementations of MLPerf™ training benchmarks
rvernica/zmPDSwR
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)