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 2.2.0b20221117

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 2.2.0b20221117
File Interpreter ABI Platform Actions
bigdl_spark2-2.2.0b20221117-py3-none-manylinux1_x86_64.whl Python 3 none Linux glibc 2.5+ x86-64 Details for bigdl_spark2-2.2.0b20221117-py3-none-manylinux1_x86_64.whl
bigdl_spark2-2.2.0b20221117-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_spark2-2.2.0b20221117-py3-none-macosx_10_11_x86_64.whl

Total release size: 3.7 kB

Release files / bigdl_spark2-2.2.0b20221117-py3-none-manylinux1_x86_64.whl

Download URL bigdl_spark2-2.2.0b20221117-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
18e6e4a14faf190b7e31bb125f99bba085e9a6d941f9f32045dad6bfc2d30085
BLAKE2b-256 checksum
How to use checksums
5fd2e5c428430c23c3bf461848ffa0059f1adc9eb3d9da92ee22ad1dcbfe3190
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.15

Release files / bigdl_spark2-2.2.0b20221117-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_spark2-2.2.0b20221117-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
3413966af6c0205838d71bc0a7af07f7cdf1e44482c775bbf2d65d1748635ce7
BLAKE2b-256 checksum
How to use checksums
f021dc70f04201dd746e8d9e8bb16f791d2e9459c07ff98e0f56192a9a5b9e24
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 2.2.0b20221117

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