semvec/pypi-packages huggingface dataset:
kma 0.3.0
Current weather and forecast information library for kma.go.kr
License: MIT
Requires Python: >=3
Keywords: weather current forecast korea temperature humidity rain kma

# KMA
Korea weather information library for kma.go.kr under python3

### Dependencies
This library uses below libraries. Please refer requirements.txt for the details.
1. urllib3
2. certifi
3. pytz

### How to use this library

#### 1. Request to issue a service key
Please visit below url.
You should understand Korean language, I think.

https://www.data.go.kr/dataset/15000099/openapi.do

#### 2. Install
```python
pip install kma
```

#### 3. Sample code
```python
from kma import Weather

w = Weather('YOUR_SERVICE_KEY')
curr = w.get_current()
forecast = w.get_forecast()

print('Current temperature: {}'.format(curr.temperature))
```

#### Deprecated features

##### 1. Sky status
No longer supported by Korea Meteorological Administration.
zprint 0.0.11
print out the time and function trees
License: MIT

Info
====
`zprint 2018-08-20`

`Author: Zhao Mingming <471106585@qq.com>`

`Copyright: This module has been placed in the public domain.`

`version:0.0.4`
- `add func zprint, print out the function list and time into stdout`
- `add func eprint, print out the function list and time into stderr`
- `add func zhelp, print demo script`
`version:0.0.7`
- `add func zprintr`
`version:0.0.7`
- `add func sys.stdout.flush()`


Functions:

- `add func zprint, print out the function list and time into stdout`
- `add func eprint, print out the function list and time into stderr`

How To Use This Module
======================
.. image:: funny.gif
   :height: 100px
   :width: 100px
   :alt: funny cat picture
   :align: center

1. example code:


.. code:: python

from  zprint  import *   

def fun2():
    zprint(" I am in fun2",0)

def fun1():
    zprint(" I am in fun1")
    fun2()



if __name__=="__main__":
   print 1
   fun1()



Refresh
========
20180820
dask-azureblobfs 0.1.0
Azure Blob Storage Backend for Dask
License: MIT
Keywords: azureblobfs

==========================
Dask Azure Blob FileSystem
==========================

Azure Blob Storage Backend for Dask

.. image:: https://travis-ci.org/manish/dask-azureblobfs.svg?branch=master
    :target: https://travis-ci.org/manish/dask-azureblobfs

.. image:: https://readthedocs.org/projects/dask-azureblobfs/badge/?version=latest
    :target: https://dask-azureblobfs.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status


Features
--------

* Supports dask when your data files are stored in the cloud.

  * Import ``DaskAzureBlobFileSystem``

  * Use ``abfs://`` as protocol prefix and you are good to do.

* For authentication, please read more on Usage_.

* Support for key-value storage which is backed by azure storage. Create an instance of ``AzureBlobMap``


Usage
-----

Make the right imports::

    from azureblobfs.dask import DaskAzureBlobFileSystem
    import dask.dataframe as dd

then put all data files in an azure storage container say ``clippy``, then you can read it::

    data = dd.read_csv("abfs://noaa/clippy/weather*.csv")
    max_by_state = data.groupby("states").max().compute()

you would need to set your azure account name in environment variable ``AZURE_BLOB_ACCOUNT_NAME``
(which in our above example is ``noaa``) and the account key in ``AZURE_BLOB_ACCOUNT_KEY``.

If you don't want to use account key and instead want to use SAS, set it in the
environment variable ``AZURE_BLOB_SAS_TOKEN`` along with the connection string in the
environment variable ``AZURE_BLOB_CONNECTION_STRING``.

Installation
------------

Just::

    pip install dask-azureblobfs

or get the development version if you love to live dangerously::

    pip install git+https://github.com/manish/dask-azureblobfs@master#egg=dask-azureblobfs

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Usage: https://dask-azureblobfs.readthedocs.io/en/latest/usage.html
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2018-11-18)
------------------

* First release on PyPI.