Framework of fast implementation data processing and operating pipelines
Project description
Informatics, sourced from its original meaning: the sciences concerned with gathering, manipulating, storing, retrieving, and classifying recorded information.
It is designed to enable users to solve complex problems in science, engineering, and other domains efficiently and accurately. Its powerful capabilities are achieved through a combination of cutting-edge software engineering techniques and the elegance of Python’s functional programming paradigm. The strength of highly modular and extensible architecture allows users to quickly assemble and customize data processing pipelines to meet their specific needs. Whether it’s data cleaning, transformation, analysis, or visualization, informatics provides a rich set of tools and functions to facilitate these tasks.
Informatics is built to serve for science as well as engineer domains. It provides ready-made solutions for common tasks like feature engineering, model training, evaluation, deployment, and more. Refer the documentation for a crash course about its essential ideas.
- Authors:
Chen Zhang
- Version:
0.0.4
- Created on:
Mar 12, 2024
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
File details
Details for the file informatics-0.0.4rc0-cp311-cp311-manylinux_2_17_x86_64.whl
.
File metadata
- Download URL: informatics-0.0.4rc0-cp311-cp311-manylinux_2_17_x86_64.whl
- Upload date:
- Size: 800.1 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5e72aaf149cdc55870d58561c3ad1937e80dce4ab90a46f05b634fbfe25c144b |
|
MD5 | baeec967e7f9964d96385c9f2ee4a901 |
|
BLAKE2b-256 | 34b9a0b8d1a6c1fa966f21ca8a9300347c379494008896b6304d3205f8877cc1 |
File details
Details for the file informatics-0.0.4rc0-cp310-cp310-manylinux_2_17_x86_64.whl
.
File metadata
- Download URL: informatics-0.0.4rc0-cp310-cp310-manylinux_2_17_x86_64.whl
- Upload date:
- Size: 800.9 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d0b1f35c5b4c25deaac065d2dc911b4af74f97770d6256b041a3eef5371b8a34 |
|
MD5 | 6f1fa8545ee7724670b02899b49a8a5a |
|
BLAKE2b-256 | 9d3a82aa57c2b51b204eb8f029e7d7122fdceb8df63b2372d9936d1a4bdb0c7e |
File details
Details for the file informatics-0.0.4rc0-cp39-cp39-manylinux_2_17_x86_64.whl
.
File metadata
- Download URL: informatics-0.0.4rc0-cp39-cp39-manylinux_2_17_x86_64.whl
- Upload date:
- Size: 801.9 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97e40225f72bdc3a3f86f79c3321c5ebcb39864a21e940c54c7fb7374ecc6b62 |
|
MD5 | f9c6be0893952e081a15e616c7056667 |
|
BLAKE2b-256 | 1b68c6e8c5aec9edaeb219446f8e3b2402f55294a6ea3361aa683368338e007f |