Datkit
This module contains some simple methods that are useful when analysing time series data.
The code is tested on a recent version of Ubuntu & Python 3, but is so simple that it should work everywhere else too.
Installation
To install the latest release from PyPI, use
pip install datkit
Installation for development
To install from the repo, use e.g.
python setup.py install -e .
Tests can then be run with
python -m unittest
And docs can be built with
cd docs
make clean html
Metadata
Release files for datkit 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datkit-0.1.1.tar.gz | 13.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datkit-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.2 kB
Release files / datkit-0.1.1.tar.gz
| Download URL | datkit-0.1.1.tar.gz |
|---|---|
| Size | 13.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Release files / datkit-0.1.1-py3-none-any.whl
| Download URL | datkit-0.1.1-py3-none-any.whl |
|---|---|
| Size | 16.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|