Development environment for data science developers
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Updated
Jun 14, 2024 - Python
Development environment for data science developers
An Exasol extension to interact with AWS SageMaker from inside the database
An Exasol extension for using state-of-the-art pretrained machine learning models via the Hugging Face Transformers API.
Exasol Python driver with low overhead, fast HTTP transport and compression
Infrastructure & Automation Tooling for Python Projects
Base Repository for the Script Language Container for user defined functions (UDF's) that can be used in the EXASOL database. You can find the release repository under https://github.com/exasol/script-languages-release
This project is shared among other Exasol projects, and provides a test framework to execute integration tests on the database.
Python builder for error messages
XML and JSON schemas for validators
SQLAlchemy dialect for EXASOL
Python guide's, examples and tutorials
A docker-based environment for integration tests with the EXASOL DB.
Contains AWS Cloudformation files used for deployment of stacks which run Script-Languages-Container CI Builds
Contains Python project to run Script-Languages-Container CI Builds
The script-languages-container-tool is responsible for building script-language container for extending Exasol UDFs
Entry point repository for the EXASOL Virtual Schemas
This projects provides a mock runner for Exasol Python3 UDFs which allows you to test your UDFs locally without a database.
Creation of virtual machines which can be used to build script-languages container
Framework for building complex data analysis algorithms with Exasol
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