# quicklooks
quicklook is a Python package for visualizing data quickly.
Check out the documentation by clicking [here](https://github.com/alexdsbreslav/quicklook/tree/master/how_to_use_quicklook) or by navigating to the folder `how_to_use_quicklook`.
## Why quicklooks?
Creating attractive, ready-to-share data visualizations takes forever. quickook is a cut-and-paste Python package that does the design work for you and makes it easy to create beautifuly simple data visualizations.
## Who is quicklooks best for?
quicklook is for any data scientist, product manager, or researcher that knows a little bit of Python and is analyzing their data in a Jupyter Notebook. My goal in writing quicklook was to make data viz more efficient, but in the process, I've also created a package that is easy to use for beginners.
## To install...
Directions to come; I am currently overhauling the package and will upload to pip for easy installation.
## Documentation
The [documentation is here](https://github.com/alexdsbreslav/quicklook/tree/master/how_to_use_quicklook).
## Acknowledgments
quicklook is built using [Matplotlib](https://matplotlib.org/), [NumPy](https://numpy.org/), [Pandas](https://pandas.pydata.org/), [Coolors](https://coolors.co/), and [seaborn](https://seaborn.pydata.org/).
Raw data
{
"_id": null,
"home_page": "https://www.linkedin.com/in/alexanderbreslav/",
"name": "quicklooks",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "matplotlib, data-visualization, python",
"author": "Alex Breslav",
"author_email": "alexdsbreslav@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/cc/a5/4c7dd6c82f276be54fa50bdede073b5e73def182469254f454bad17b5901/quicklooks-0.0.11.tar.gz",
"platform": null,
"description": "\n\n# quicklooks\nquicklook is a Python package for visualizing data quickly. \nCheck out the documentation by clicking [here](https://github.com/alexdsbreslav/quicklook/tree/master/how_to_use_quicklook) or by navigating to the folder `how_to_use_quicklook`.\n\n## Why quicklooks?\nCreating attractive, ready-to-share data visualizations takes forever. quickook is a cut-and-paste Python package that does the design work for you and makes it easy to create beautifuly simple data visualizations.\n\n## Who is quicklooks best for?\nquicklook is for any data scientist, product manager, or researcher that knows a little bit of Python and is analyzing their data in a Jupyter Notebook. My goal in writing quicklook was to make data viz more efficient, but in the process, I've also created a package that is easy to use for beginners.\n\n## To install...\nDirections to come; I am currently overhauling the package and will upload to pip for easy installation.\n\n## Documentation\nThe [documentation is here](https://github.com/alexdsbreslav/quicklook/tree/master/how_to_use_quicklook).\n\n## Acknowledgments\nquicklook is built using [Matplotlib](https://matplotlib.org/), [NumPy](https://numpy.org/), [Pandas](https://pandas.pydata.org/), [Coolors](https://coolors.co/), and [seaborn](https://seaborn.pydata.org/).\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "quicklook is a Python package for visualizing data quickly using matplotlib.",
"version": "0.0.11",
"project_urls": {
"Homepage": "https://www.linkedin.com/in/alexanderbreslav/"
},
"split_keywords": [
"matplotlib",
" data-visualization",
" python"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "9e7bfc4d79912bededf18b78f76010f3523581e10ae97ba82524a6e409875e63",
"md5": "6ea21fda7ea5c3a89347b12bd7e726b8",
"sha256": "fd8ab3ed4dcf9967def9fd6575c288edb4f197198d1183e061c9f949e76aa85e"
},
"downloads": -1,
"filename": "quicklooks-0.0.11-py3-none-any.whl",
"has_sig": false,
"md5_digest": "6ea21fda7ea5c3a89347b12bd7e726b8",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 1180439,
"upload_time": "2024-04-03T20:52:13",
"upload_time_iso_8601": "2024-04-03T20:52:13.614355Z",
"url": "https://files.pythonhosted.org/packages/9e/7b/fc4d79912bededf18b78f76010f3523581e10ae97ba82524a6e409875e63/quicklooks-0.0.11-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "cca54c7dd6c82f276be54fa50bdede073b5e73def182469254f454bad17b5901",
"md5": "7011fdccfdc0f571b0e84f15dce27ba9",
"sha256": "8867ac6e719d2703abdf40ae2354ecf8cadcf2d3e7a5d9901b991cd7503f3bbb"
},
"downloads": -1,
"filename": "quicklooks-0.0.11.tar.gz",
"has_sig": false,
"md5_digest": "7011fdccfdc0f571b0e84f15dce27ba9",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 1178498,
"upload_time": "2024-04-03T20:52:16",
"upload_time_iso_8601": "2024-04-03T20:52:16.130359Z",
"url": "https://files.pythonhosted.org/packages/cc/a5/4c7dd6c82f276be54fa50bdede073b5e73def182469254f454bad17b5901/quicklooks-0.0.11.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-03 20:52:16",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "quicklooks"
}
JSON