Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

BigDL makes it easy for data scientists and data engineers to build end-to-end, distributed AI applications.

For more information, you may read the docs.

Metadata

Release files for bigdl-spark2 2.2.0b20221115

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for bigdl-spark2 2.2.0b20221115
File Interpreter ABI Platform Actions
bigdl_spark2-2.2.0b20221115-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark2-2.2.0b20221115-py3-none-manylinux1_x86_64.whl
bigdl_spark2-2.2.0b20221115-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark2-2.2.0b20221115-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark2-2.2.0b20221115-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark2-2.2.0b20221115-py3-none-manylinux1_x86_64.whl
Size 1.8 kB
Tags Linux glibc 2.5+ x86-64 Python 3
SHA-256 checksum
How to use checksums
3538c2b25ae0fd9c8872d056bac73b0de18e386f12c2188a9fa0c89e884001d1
BLAKE2b-256 checksum
How to use checksums
b8daef3bc9c7989d5eeace324df91ad89522fb6081db2262c66b186bbd066556
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_spark2-2.2.0b20221115-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark2-2.2.0b20221115-py3-none-macosx_10_11_x86_64.whl
Size 1.8 kB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
b468289c122eee4678558f472d83f67bd20073e6e4d413aae310a37313a22c07
BLAKE2b-256 checksum
How to use checksums
3799c07b686ca82be761a73223516a1f24a7774b56e0cf16d1b5b0060eb12a83
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Security for bigdl-spark2 2.2.0b20221115

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page