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 2.2.0b20221205

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 2.2.0b20221205
File Interpreter ABI Platform Actions
bigdl_spark2-2.2.0b20221205-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark2-2.2.0b20221205-py3-none-manylinux1_x86_64.whl
bigdl_spark2-2.2.0b20221205-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark2-2.2.0b20221205-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark2-2.2.0b20221205-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark2-2.2.0b20221205-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
45bc3e2ca4d8d37bf21e38e83bd4aaf23c82b4f36ad168e8114c2128ab4cfeb7
BLAKE2b-256 checksum
How to use checksums
36ea253e27ad2cfc948398e682c1d78a03bf10108f9de0306ea22a1c96ead23e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_spark2-2.2.0b20221205-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark2-2.2.0b20221205-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
6ac1cda19076cbff267d3703a3210c578adc5e4de54aa6f4a7920cefa68366fa
BLAKE2b-256 checksum
How to use checksums
f7e8e5bd59f504c4a723f3116bddf2ede8320328dd136ae9c6cec2f5e74eec98
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 2.2.0b20221205

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