Skip to main content

A blazingly fast datadict library

Project description

Teapy

Build codecov

Blazingly fast datadict library in Python

Teapy is a blazingly fast datadict library implemented in Rust.

  • Lazy evaluation
  • Handle NaN
  • Multi-threaded
  • Any Dimension

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

teapy-0.1.4.tar.gz (122.3 kB view details)

Uploaded Source

Built Distributions

teapy-0.1.4-cp38-abi3-win_amd64.whl (7.7 MB view details)

Uploaded CPython 3.8+ Windows x86-64

teapy-0.1.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.4 MB view details)

Uploaded CPython 3.8+ manylinux: glibc 2.17+ x86-64

teapy-0.1.4-cp38-abi3-macosx_11_0_arm64.whl (2.9 MB view details)

Uploaded CPython 3.8+ macOS 11.0+ ARM64

teapy-0.1.4-cp38-abi3-macosx_10_7_x86_64.whl (3.6 MB view details)

Uploaded CPython 3.8+ macOS 10.7+ x86-64

File details

Details for the file teapy-0.1.4.tar.gz.

File metadata

  • Download URL: teapy-0.1.4.tar.gz
  • Upload date:
  • Size: 122.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/0.14.10

File hashes

Hashes for teapy-0.1.4.tar.gz
Algorithm Hash digest
SHA256 c28688cfc4d845effe81e45d842561d79de52b2dba70bc0922433321544494ec
MD5 d304fde7f72513455be20b02bb996f39
BLAKE2b-256 43bbfee1926ac652e1a95e03219ef3808f1c2e782617ab841524fd19bb04da84

See more details on using hashes here.

File details

Details for the file teapy-0.1.4-cp38-abi3-win_amd64.whl.

File metadata

  • Download URL: teapy-0.1.4-cp38-abi3-win_amd64.whl
  • Upload date:
  • Size: 7.7 MB
  • Tags: CPython 3.8+, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/0.14.10

File hashes

Hashes for teapy-0.1.4-cp38-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 e1d4581284c0a6eccffe1bd0c8986a5d9f7a71d70e6fbb9b41091363142146ee
MD5 30330dc652c9e61b48f177b102421fd5
BLAKE2b-256 cb97d1639b10755a5635f6512fc9ed22eda483b7fc0bcef3a1e90f2a9858c8eb

See more details on using hashes here.

File details

Details for the file teapy-0.1.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for teapy-0.1.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 129cd0bde4079a51dd7250ffbd567b52d35dae5dae0c41971b2fee2da0616b32
MD5 1ce509eeaeb60eb0230c78afe48a1dda
BLAKE2b-256 b4c18c485084fc73b7301bd9c003e0b91cdc70b29ef97f88f90e75a2fab67d95

See more details on using hashes here.

File details

Details for the file teapy-0.1.4-cp38-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for teapy-0.1.4-cp38-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7ac0dd90e5cfd17bca59f3d5bc506badde2e397f61939a72045b68e0bf02c889
MD5 d8ad3b3275da3367aa182c1e46f41556
BLAKE2b-256 35f089e4b867f11aaf4138e9096abf175850cb253aaa605ee748f21223433fb5

See more details on using hashes here.

File details

Details for the file teapy-0.1.4-cp38-abi3-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for teapy-0.1.4-cp38-abi3-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 7f9c427ead61cf7fe7339f3ef414487da292be0dcdb7bae128fb53839d6212d3
MD5 fde1e96edd8212d22b3fec2700c9a642
BLAKE2b-256 13e35b47c09ab35637dd2b44a44f9e598edae84a6fcbd661109f662d0adb7b73

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page