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 2.4.0b20230607

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 2.4.0b20230607
File Interpreter ABI Platform Actions
bigdl_spark2-2.4.0b20230607-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark2-2.4.0b20230607-py3-none-manylinux1_x86_64.whl
bigdl_spark2-2.4.0b20230607-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark2-2.4.0b20230607-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark2-2.4.0b20230607-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark2-2.4.0b20230607-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
257f7014a68e8ec99fd0f4aff4f89e029a40b725ea38fd3dc92e8477d233c53e
BLAKE2b-256 checksum
How to use checksums
1c655be4aee13e107db7d89d92a683fd44684654c492f774b660d31b13ecb811
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_spark2-2.4.0b20230607-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark2-2.4.0b20230607-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
8e613704d782a17ccfe2ceeba0c6f63469ca214016ad5fb35574dc7b5e7ff43b
BLAKE2b-256 checksum
How to use checksums
5a28b59b042666b4054035290994b589e1fe56ad589030b7a814d4851bd7e0b0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Security for bigdl-spark2 2.4.0b20230607

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