Skip to main content

A Distributed DataFrame library for large scale complex data processing.

Project description

Developing on Daft

  1. Install Poetry
  2. Init your python environment
    • poetry install
  3. Build Extensions locally
    • poetry run build_inplace
  4. Run tests
    • poetry run pytest
  5. Run type checking
    • poetry run mypy
  6. Run any other script
    • poetry run CMD
  7. Add package
    • poetry add PACKAGE
  8. Lock env
    • poetry lock

Project details


Release history Release notifications | RSS feed

This version

0.0.7

Download files

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

Source Distribution

getdaft-0.0.7.tar.gz (121.8 kB view details)

Uploaded Source

Built Distributions

getdaft-0.0.7-cp310-cp310-manylinux_2_17_x86_64.whl (793.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

getdaft-0.0.7-cp310-cp310-macosx_11_0_x86_64.whl (188.5 kB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

getdaft-0.0.7-cp310-cp310-macosx_11_0_arm64.whl (184.9 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

getdaft-0.0.7-cp39-cp39-manylinux_2_17_x86_64.whl (792.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

getdaft-0.0.7-cp39-cp39-macosx_11_0_x86_64.whl (188.3 kB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

getdaft-0.0.7-cp39-cp39-macosx_11_0_arm64.whl (184.9 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

getdaft-0.0.7-cp38-cp38-manylinux_2_17_x86_64.whl (790.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

getdaft-0.0.7-cp38-cp38-macosx_11_0_arm64.whl (184.8 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

getdaft-0.0.7-cp38-cp38-macosx_10_16_x86_64.whl (188.3 kB view details)

Uploaded CPython 3.8 macOS 10.16+ x86-64

getdaft-0.0.7-cp37-cp37m-manylinux_2_17_x86_64.whl (789.3 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

getdaft-0.0.7-cp37-cp37m-macosx_10_16_x86_64.whl (188.0 kB view details)

Uploaded CPython 3.7m macOS 10.16+ x86-64

File details

Details for the file getdaft-0.0.7.tar.gz.

File metadata

  • Download URL: getdaft-0.0.7.tar.gz
  • Upload date:
  • Size: 121.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for getdaft-0.0.7.tar.gz
Algorithm Hash digest
SHA256 b4242da75c290cf60dab6087c70856c3ae5beb1d6e58bbdfc735ad3bc204ccff
MD5 a9d54ef9f9ed3941f68440ee3f39704b
BLAKE2b-256 855928c4b1886facdbf666fc58c4888faca3330f72c511c6a1b470b8e462a11c

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp310-cp310-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp310-cp310-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 5cf63b5c459906fb24d2ae76c3908ce244eb4d97b54add7bbce8289067bd214b
MD5 4873bdaf264126cc33a748c74a24ce47
BLAKE2b-256 063d93110bec81160c4fff6202b3e6b227a4bf7fd42b31da6e43bc8924f8fa3c

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 82c7e6afea5e4bad9c3f0698a642cd525c6ee9e5a4d132ee41f3e3ef06213d60
MD5 313500df4327b6245538deb6e98b8024
BLAKE2b-256 d7e2e46e3a55ce036016066b555215d4a0393e787065b1fbf8b14fd8eb3e93a0

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dd8c4f5ad2513113bc190c3a431de75ab2cc70f7479685237d97b45e5977d2fb
MD5 7053033d9837011298a31851d886b0c0
BLAKE2b-256 053e07b509b630ecdd95e985d6ef0a650c3ed9fb15760eacd87b9d83cdfd04fe

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp39-cp39-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp39-cp39-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 8b98b3d10bc68ceb6208af0c63663006ac242bcbc1533db7f8d59aedfb17fd8b
MD5 2b29c43b864f4c9f892d5b6ec1fdbd79
BLAKE2b-256 4eb0a13979c8ced5c344d8b5685bf177deb939586fe743197d65416e694d98cd

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 ede676abf6d24e6cbc696bd0cf474144f672ccdc5395d1d4c2faa03b21e27a3a
MD5 d87eec323ed677a28cc30f1bc3ad6a2d
BLAKE2b-256 f3de21efd7914ff3d8b8c47d8e7a367cb43baae8b8126bf1486425064d25e14c

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2bb0d4045081a12d38c29c9c1f8b6bda9575e24483e407ae37c42bf225142ee4
MD5 04011034a4acd6c677f4233bda4161c3
BLAKE2b-256 da8958b4d853a534876484b36637b2f872f66298d42da2dd72b34a56644d4bb5

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp38-cp38-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp38-cp38-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 f61370a4228b20b0a61bb40984655f2535337103a65f59b4bbe8cd6295e827ca
MD5 558ce858b8ee4d26e386eb8488b77377
BLAKE2b-256 42500d7b5cc14e07987f1be33f7e577aad039e356df455bfaf1a3681c572feab

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d28e4d4b834ce17978c3f9a5df0044ede1c62d1949ddf55417a4a1974ea00270
MD5 2eac99454e9ae2a8254001a8f564f67c
BLAKE2b-256 c0694e873ce670cd6cf63abe77a863aed1b521b2c15404de4c5f852592d3e581

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp38-cp38-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp38-cp38-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 ddd17033dd95f1db5f0d52bd72044a886024605120494d1f18c1bf19c0e4cac9
MD5 8c9e7656baefb3b27701754f387517b6
BLAKE2b-256 2a027208397f964181e9cd291392e51488fdf66f12e73808b38b0b60e5c8d274

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp37-cp37m-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp37-cp37m-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 ca307ae5a1ec7929afe06ecf1c140d8dad6449585c2e5bbb4a3bb7092bd4a165
MD5 771a611b729d49e531bf44e1e83f7e61
BLAKE2b-256 a5bf2f8658bab2c4747ca50c7eaa4f6a054a79cea5abc8b46d08130f1dd31124

See more details on using hashes here.

File details

Details for the file getdaft-0.0.7-cp37-cp37m-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for getdaft-0.0.7-cp37-cp37m-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 769d7eb1cae51d7e7407c82c66cea647c8418d2bf8b88765e0b281884164e686
MD5 33859adfc937239f837735dade50787c
BLAKE2b-256 eebfa03627de75f83b0472f582c78f1d97af04a692a7c9ef25bb1eef774fb606

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