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-spark3 2.2.0b20221129

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-spark3 2.2.0b20221129
File Interpreter ABI Platform Actions
bigdl_spark3-2.2.0b20221129-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark3-2.2.0b20221129-py3-none-manylinux1_x86_64.whl
bigdl_spark3-2.2.0b20221129-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark3-2.2.0b20221129-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark3-2.2.0b20221129-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark3-2.2.0b20221129-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
2aa08ee7dbd3ad036626ed2afd930c09405c6581874d0abe12018adb900e4016
BLAKE2b-256 checksum
How to use checksums
1c89048446c2be2dc954097fb821b439110cba8b1fbe4b66e76b0dc9c17cee5e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_spark3-2.2.0b20221129-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark3-2.2.0b20221129-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
03f6793e33a679a91b28134cd289310a5b23530c967cb1f388e6ac0e64e4fb03
BLAKE2b-256 checksum
How to use checksums
bee0bfd020d90f169943ef0d1d0553cf3f77c13c04e273f79e551a1f94d8be14
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Security for bigdl-spark3 2.2.0b20221129

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