semvec/pypi-packages huggingface dataset:
date-reclass 0.0.4
Convert data from str to datetime or datetime to str.
Requires Python: >=3.6

# Json-Datetime-util

Convert data from str to datetime or datetime to str.
Can also get all dict or list values to convert all to requested type.

## How to Install

`pip install date-reclass`

## How to Use

Json-datetime-util will allow the user to simply convert entire lists or dicts of data.

All datetimes inside of the list or dict will be converted from str to datetime or vice-versa.

When you have a str and need a datetime:

```
from date_reclass import cast

date = '17/05/2020'
result = cast(date, '%d/%m/%Y').todatetime()
>>> '2020-05-17 00:00:00'

```

If you have a list or dict the same code can be used:
```
# dict example
from date_reclass import cast

date = {'date1':'17/05/2020','date2':'17/05/2021'}
result = cast(date, '%d/%m/%Y').todatetime()
>>> {'date1': datetime.datetime(2020, 5, 17, 0, 0), 'date2':{'date2': datetime.datetime(2021, 5, 17, 0, 0)}

# list example
from date_reclass import cast

date = ['17/05/2020','17/05/2021']
result = cast(date, '%d/%m/%Y').todatetime()
>>> [datetime.datetime(2020, 5, 17, 0, 0), datetime.datetime(2021, 5, 17, 0, 0)]

```

When you have a datetime and need a string:

```
from date_reclass import cast
import datetime

date = datetime.datetime(2020, 5, 17)
result = cast(date).tostr()
>>> '2020-05-17 00:00:00'

```

For list or dict:

```
# dict
from date_reclass import cast
import datetime

date = {'date1':'17/05/2020','date2':'17/05/2021'}
result = cast(date, '%d/%m/%Y').todatetime()
>>> {'date1': datetime.datetime(2020, 5, 17, 0, 0), 'date2': datetime(2021, 5, 17, 0, 0)}

# list
from date_reclass import cast
import datetime

date = ['17/05/2020', '17/05/2021']
result = cast(date, '%d/%m/%Y').todatetime()
>>> [datetime.datetime(2020, 5, 17, 0, 0), datetime(2021, 5, 17, 0, 0)]

```




## Run Tests

Run tests by running

`python3 -m unittest app/tests/*/**.py`

You can also check coverage and generate a coverage report

```
    coverage run -m unittest tests/*.py && coverage report 
```
pytest-databricks 0.0.8
Pytest plugin for remote Databricks notebooks testing
Requires Python: >=3.6

# pytest-databricks
Pytest plugin for testing Databricks notebooks




## Release Notes

### 0.0.8
- fixed typo

### 0.0.7
- dbr_connection fixture raises exception of token, url or cluster id not specified
- added run_unittest and run_unittest_testcase helpers
- new test client auto_save and dir_auto_save properties
yu-example 0.2
A set of python modules for academic writing
Requires Python: >=3.6

# acwriting

   [![pip](./data/pip.svg)](https://pypi.org/project/pip/)
   [![LicenseMIT](https://github.com/Yoki0/acwriting/blob/master/data/LicenseMIT.svg)](./LICENSE.txt)
   [![pyversion](./data/pyversion.svg)](https://github.com/Yoki0/acwriting)
   
   
   
## Introduction
Have you ever felt frustrated with your English writing skills?
If yes, you are in the right place! Acwriting is actually what you want!

What is acwriting?

Short answer is, it is a Python package for the English writings, designed especially for academic writings.
Long answer is, ..

So, let's get it started!

## Simple example


## Installation

## Documentation

## License