semvec/pypi-packages huggingface dataset:
jiku-data 0.1.10
'Open source datasets, component of Jiku Core
Requires Python: >=3.9
Keywords: datasets, data analysis, functional data analysis, time series analysis

[![Python](https://img.shields.io/badge/Python-FFD43B?style=for-the-badge&logo=python&logoColor=blue)](https://www.python.org)
[![Numpy](https://img.shields.io/badge/Numpy-777BB4?style=for-the-badge&logo=numpy&logoColor=white)](https://numpy.org)
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
![version](https://img.shields.io/badge/version-0.1.10-blue)



<img src="https://github.com/jiku-pro/jiku-data/blob/ee4a7ccc53b7badedc14d7c93b2b40af783b4f75/jiku-core.jpg?raw=true" alt="JikuCore" width="600">

# JIKU DATA

Public repository of open-source datasets, and a component of the [Jiku Core](https://jiku-core.org) software suite.



Datasets appear in `./src/jikudata/datasets` and are all sourced from the internet, academic papers and open databases. Dataset-specific licenses are provided where required.



Example use:

```python
import jikudata as jd

dataset = jd.RSRegression()
y       = dataset.y  # dependent variable
x       = dataset.x  # independent variable(s)

print( dataset )
print( dataset.www )


```

Output:

```
RSRegression:
    design : Linear regression
    dim    : 0
    y      : (15,) array
    expected : 
        ExpectedResultsSPM1D:
            STAT : T
            z    : -3.67092
            df   : (1, 13)
            p    : 0.0028
            
https://www.real-statistics.com/regression/hypothesis-testing-significance-regression-line-slope/
```





Iterate through all datasets:

```python
for dataset in jd.datasets.iter_all():
		print( dataset.name )
```
rdfhelpers 0.7.8
Useful stuff when programming with RDFLib
Requires Python: >=3.9

# RDF Helpers

This is a python package that contains all kinds of useful functionality when building RDF applications with [RDFLib](https://rdflib.dev/):
- Various ways to manipulate RDF graphs (shortcuts, really)
- Predefined graph transformations (e.g., containers --> repeated properties)
- Templated queries (substitution not limited to RDF terms like in RDFLib with `initBindings`)
- Templated graph creation (based on SPARQL `CONSTRUCT`)
- Journaled graphs
- Label caching
- etc.

Available to install [from PyPI](https://pypi.org/project/rdfhelpers/). Documentation can be found [here](https://smasw.gitlab.io/software/rdfhelpers/).

## Changes in the 0.7.x release

Main theme: we folded `rdfproducers` into this.

Changes:
+ All old code moved into subpackage `rdfhelpers.core`.
  + `rdfhelpers.rdfhelpers` is now `rdfhelpers.core.basics`.
+ New subpackage `rdfhelpers.experimental`.
  + Class `Constructor` is not necessarily stable yet, so `rdfhelpers.constructor` became `rdfhelpers.experimental.constructor`, and the class does not get exported in the top level.
+ Added more typing annotations.
+ Attempting to call `Composable.validate()` without `pyshacl` being installed now raises an exception (earlier it merely logged a warning).
+ Added methods to `Composable` to bring it closer to the `rdflib.Graph` class.
+ New package `rdfhelpers.producers`.

## Contact

Author: Ora Lassila <ora@somanyaircraft.com>

Copyright (c) 2022-2025 Ora Lassila and [So Many Aircraft](https://www.somanyaircraft.com/)
lzokay 2.1.0
Python bindings for LZ👌, a LZO compression/decompression algorithm.
Requires Python: >=3.10

# LZ👌-rs [![Build Status]][actions] [![Latest Version]][crates.io] [![Api Rustdoc]][rustdoc] ![Rust Version]

[Build Status]: https://github.com/encounter/lzokay-rs/workflows/build/badge.svg
[actions]: https://github.com/encounter/lzokay-rs/actions
[Latest Version]: https://img.shields.io/crates/v/lzokay.svg
[crates.io]: https://crates.io/crates/lzokay
[Api Rustdoc]: https://img.shields.io/badge/api-rustdoc-blue.svg
[rustdoc]: https://docs.rs/lzokay
[Rust Version]: https://img.shields.io/badge/rust-1.81+-blue.svg?maxAge=3600

Pure-Rust port of [LZ👌](https://github.com/jackoalan/lzokay), a minimal, MIT-licensed implementation of the
[LZO compression format](http://www.oberhumer.com/opensource/lzo/).

See the original [README](https://github.com/jackoalan/lzokay/blob/master/README.md) for more information.

### Features

- MIT-licensed
- Simple compression and decompression routines
- `#![no_std]` compatible

### Usage

See the [compress](https://docs.rs/lzokay/latest/lzokay/compress)
or [decompress](https://docs.rs/lzokay/latest/lzokay/decompress)
documentation for reference.

In `Cargo.toml`:

```toml
[dependencies]
lzokay = "2.0"
```

Or, to only enable certain features:

```toml
[dependencies.lzokay]
version = "2.0"
default-features = false
features = ["decompress", "compress"]
```

- `decompress`: Enables decompression functions.
- `compress`: Enables compression functions.
- `alloc`: Enables optional compression functions that perform heap allocation.
   Without `std`, this uses `extern crate alloc`.
- `std`: Enables use of `std`. Implies `alloc`.

All features are enabled by default.

### License

LZ👌 and LZ👌-rs are available under the MIT License and have no external dependencies.