Skip to main content

A practical PRAGMA model implementation for tokenized tabular event histories

Project description

fastpragma

This file will become your README and also the index of your documentation.

Developer Guide

If you are new to using nbdev here are some useful pointers to get you started.

Install fastpragma in Development mode

# make sure fastpragma package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to fastpragma
$ nbdev_prepare

Usage

Installation

Install latest from the GitHub repository:

$ pip install git+https://github.com/risheekkumarb/fastpragma.git

or from conda

$ conda install -c risheekkumarb fastpragma

or from pypi

$ pip install fastpragma

Documentation

Documentation can be found hosted on this GitHub repository’s pages. Additionally you can find package manager specific guidelines on conda and pypi respectively.

How to use

Fill me in please! Don’t forget code examples:

1+1
2

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

fastpragma-0.0.1.tar.gz (20.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fastpragma-0.0.1-py3-none-any.whl (21.6 kB view details)

Uploaded Python 3

File details

Details for the file fastpragma-0.0.1.tar.gz.

File metadata

  • Download URL: fastpragma-0.0.1.tar.gz
  • Upload date:
  • Size: 20.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for fastpragma-0.0.1.tar.gz
Algorithm Hash digest
SHA256 0732c84147febc4c7ae2e8a741d485ca38d84f615dfbb3e9ed050c4c3c0ba8fc
MD5 77f8d8ae3759e469fc6c8ae75a259e6f
BLAKE2b-256 aab7ec084b95422dc1a422e13ce537eee1d590c77d17bb7ff74b4d5973fe9ea8

See more details on using hashes here.

File details

Details for the file fastpragma-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: fastpragma-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 21.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for fastpragma-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 81fbff48f452ea88963882b958cbee4b8d2c2ccfdc54d32878fdf6cae2e0f747
MD5 70c8324032b30ca8c68983e32e1ca522
BLAKE2b-256 5789d6fe500d8a79c4a653cad5b496a1ea6c205e70b12259d1ba3b407e4bea6b

See more details on using hashes here.

Supported by

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