dim-python


Namedim-python JSON
Version 0.1.1 PyPI version JSON
download
home_pagehttps://github.com/c-3lab/dim-python/
SummaryPython implementation of dim (Data Installation Manager): Manage open data in your projects, like a package manager.
upload_time2023-01-03 23:27:50
maintainer
docs_urlNone
authorC3Lab
requires_python>=3.8,<4.0
licenseMIT
keywords open-data dataops data science datasets
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # dim-python

`dim-python` is a Python implementation of [dim (Data Installation Manager): Manage open data in your projects, like a package manager](https://github.com/c-3lab/dim).

## Join community

We are looking for members to develop together as an open source community.

[Slack](https://join.slack.com/t/c3lab-hq/shared_invite/zt-v6zz66n9-1VYkVXC4zoQViWSMdzMTLg)

## Quick Start

1. Install the dim

https://github.com/c-3lab/dim#install-the-dim

2. Install the python-dim

```
$ pip install python-dim
```

3. Initialize the project for dim

```
$ dim init
```

Also can initialize the project using dim-python.

4. Use the python-dim

```python
import dim

dim.install('https://example.com/xxx.json', 'example_name', ['encode utf-8'])

print(dim.list())

print(dim.load_data('example_name', 'json'))

```


## Build

Install Python 3.8+.

Then, install `poetry` 1.2.0+ as follows.

Windows:

```Bash
# Linux, macOS, Windows (WSL)
curl -sSL https://install.python-poetry.org | python3 -
# Windows (Powershell)
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | py -
```

Install dependencies with `poetry`.

```Bash
poetry install
```

### Check version of dim

```Python
import dim
dim.__version__
```

## License

Refer to [MIT License](https://github.com/c-3lab/dim-python/blob/main/LICENSE).

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/c-3lab/dim-python/",
    "name": "dim-python",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8,<4.0",
    "maintainer_email": "",
    "keywords": "open-data,dataops,data science,datasets",
    "author": "C3Lab",
    "author_email": "info.c3lab@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/e5/41/498c1e36433094fd156fae43f76ee938d69eeb8b33c29038b76e891cb71e/dim_python-0.1.1.tar.gz",
    "platform": null,
    "description": "# dim-python\n\n`dim-python` is a Python implementation of [dim (Data Installation Manager): Manage open data in your projects, like a package manager](https://github.com/c-3lab/dim).\n\n## Join community\n\nWe are looking for members to develop together as an open source community.\n\n[Slack](https://join.slack.com/t/c3lab-hq/shared_invite/zt-v6zz66n9-1VYkVXC4zoQViWSMdzMTLg)\n\n## Quick Start\n\n1. Install the dim\n\nhttps://github.com/c-3lab/dim#install-the-dim\n\n2. Install the python-dim\n\n```\n$ pip install python-dim\n```\n\n3. Initialize the project for dim\n\n```\n$ dim init\n```\n\nAlso can initialize the project using dim-python.\n\n4. Use the python-dim\n\n```python\nimport dim\n\ndim.install('https://example.com/xxx.json', 'example_name', ['encode utf-8'])\n\nprint(dim.list())\n\nprint(dim.load_data('example_name', 'json'))\n\n```\n\n\n## Build\n\nInstall Python 3.8+.\n\nThen, install `poetry` 1.2.0+ as follows.\n\nWindows:\n\n```Bash\n# Linux, macOS, Windows (WSL)\ncurl -sSL https://install.python-poetry.org | python3 -\n# Windows (Powershell)\n(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | py -\n```\n\nInstall dependencies with `poetry`.\n\n```Bash\npoetry install\n```\n\n### Check version of dim\n\n```Python\nimport dim\ndim.__version__\n```\n\n## License\n\nRefer to [MIT License](https://github.com/c-3lab/dim-python/blob/main/LICENSE).\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Python implementation of dim (Data Installation Manager): Manage open data in your projects, like a package manager.",
    "version": "0.1.1",
    "split_keywords": [
        "open-data",
        "dataops",
        "data science",
        "datasets"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "679b5a8a2aa6883578483aef10ae38fdd80c5bba2af712a68f62c5a2338fddab",
                "md5": "348e3aeada17e557bdde43f400ae9b40",
                "sha256": "59103e6c88320511cc59fd8a03d1efd7cf915639768b344e69774af515219594"
            },
            "downloads": -1,
            "filename": "dim_python-0.1.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "348e3aeada17e557bdde43f400ae9b40",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8,<4.0",
            "size": 3957,
            "upload_time": "2023-01-03T23:27:48",
            "upload_time_iso_8601": "2023-01-03T23:27:48.304357Z",
            "url": "https://files.pythonhosted.org/packages/67/9b/5a8a2aa6883578483aef10ae38fdd80c5bba2af712a68f62c5a2338fddab/dim_python-0.1.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "e541498c1e36433094fd156fae43f76ee938d69eeb8b33c29038b76e891cb71e",
                "md5": "fe49f616bbd7c5771f381d6edc0b9d8a",
                "sha256": "7ccb7b9d4d99a5669e9ed4864f0264e6dee97daaad64de234c38879298329857"
            },
            "downloads": -1,
            "filename": "dim_python-0.1.1.tar.gz",
            "has_sig": false,
            "md5_digest": "fe49f616bbd7c5771f381d6edc0b9d8a",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8,<4.0",
            "size": 3829,
            "upload_time": "2023-01-03T23:27:50",
            "upload_time_iso_8601": "2023-01-03T23:27:50.333372Z",
            "url": "https://files.pythonhosted.org/packages/e5/41/498c1e36433094fd156fae43f76ee938d69eeb8b33c29038b76e891cb71e/dim_python-0.1.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-01-03 23:27:50",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "c-3lab",
    "github_project": "dim-python",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "dim-python"
}
        
Elapsed time: 0.03116s