A fast dataframe implementation with Pydantic integration
Project description
fastdataframe
Manage and validate your dataframe using pydantic
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fastdataframe-0.0.4-py3-none-any.whl.
File metadata
- Download URL: fastdataframe-0.0.4-py3-none-any.whl
- Upload date:
- Size: 13.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b7b7ed830d1fa54542e810284d51a534847dc0cae2a9964282ff0632e1648eb7
|
|
| MD5 |
c4384d2c58bb6dc18076fba49dcad0e2
|
|
| BLAKE2b-256 |
ab4a5ea7a359b0426e3580c4d72f7e8e25793f62943715bbbbb16a5e3b64639a
|
Provenance
The following attestation bundles were made for fastdataframe-0.0.4-py3-none-any.whl:
Publisher:
ci.yml on davzucky/fastdataframe
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
fastdataframe-0.0.4-py3-none-any.whl -
Subject digest:
b7b7ed830d1fa54542e810284d51a534847dc0cae2a9964282ff0632e1648eb7 - Sigstore transparency entry: 228126540
- Sigstore integration time:
-
Permalink:
davzucky/fastdataframe@9c91020546bd04279860ddcc32805638bc02f5b3 -
Branch / Tag:
refs/tags/v0.0.4 - Owner: https://github.com/davzucky
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
ci.yml@9c91020546bd04279860ddcc32805638bc02f5b3 -
Trigger Event:
release
-
Statement type:
