semvec/pypi-packages huggingface dataset:
hive-email 0.0.2
Email message handling for Hive.
Requires Python: >=3.10

[![version badge]](https://pypi.org/project/hive-email/)

[version badge]: https://img.shields.io/pypi/v/hive-email?color=limegreen

# hive-email

Email message handling for Hive.

## Installation

### With PIP

```sh
pip install hive-email
```

### From source

```sh
git clone https://github.com/gbenson/hive.git
cd hive/libs/email
python3 -m venv .venv
. .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
pip install -e .
flake8 && pytest
```
beautifulexcel 0.3.6
BeautifulExcel is a python package that makes it easy and quick to save pandas dataframes in beautifully formatted excel files. BeautifulExcel is the Openpyxl for Data Scientists with a deadline.
Requires Python: >=3.7

# BeautifulExcel

<img src="https://github.com/vanalmsick/beautifulexcel/raw/main/docs/docs/imgs/social.png" alt="Social Banner" style="width:100%;"/>

> **⚠️🏗️️ Note:**
> This is only the first version - actively working on additional features!

BeautifulExcel is a python package that makes it easy and quick to save pandas dataframes in beautifully formatted excel files. BeautifulExcel is the Openpyxl for Data Scientists with a deadline.

<br>
  
## Getting it

```console
$ pip install beautifulexcel
```
**Update Package:** *(execute <ins>regularly</ins> to get the latest features)*
```console
$ pip install beautifulexcel --upgrade
```
  
<br>
  
## How to use:

```python
from beautifulexcel import ExcelWriter

with ExcelWriter('workbook.xlsx', mode='r', theme='elegant_blue') as writer:
    ws1 = writer.to_excel(
        df,
        sheet_name='My Sheet',
        startrow=0,
        startcol=0,
        index=True,
        header=True,
        col_autofit=True,  # automatically change column width to fit content best
        col_widths={'A': 20, 'RoE': 40},  # define column width manually
        auto_number_formatting=True,  # automatically detect number format and change excel format
        style={'RoE': 'bg_light_blue', 'D:E': {'fill': 'FFEEB7'}},  # apply custom styling to this dataframe export
        use_theme_style=True,  # apply the excel workbook "theme" set in ExcelWriter()
    )
```
  
<br>
  
## Further details in the [Documentation](https://vanalmsick.github.io/beautifulexcel/)
[Go to **Documentation**](https://vanalmsick.github.io/beautifulexcel/)
  
<br>
  
## A feature is missing? Feel free to contribute!
- Please submit new features as Pull Request to the "dev" branch
- Please make sure the code is nicely formatted and has doc strings by executing `$ pre-commit install` before your git commit
download-stats 2.0.1
Download stats for Python packages
Requires Python: >=3.7

# download-stats

View your pypi download stats

Note: Please register for a pepy.tech api key. Add it to the environemnt variable `PEPY_API_KEY`.

# cli


```
$ download-stats shopyo
```

![](https://github.com/Abdur-RahmaanJ/download-stats/raw/stable/assets/download_stats.png)

```
$ download-stats --compare flask django fastapi
```

![](https://github.com/Abdur-RahmaanJ/download-stats/raw/stable/assets/compare.png)


```
$ download-stats --self # same as `download-stats download-stats`
```

Total downloads

```
$ download-stats --total hooman shopyo download-stats meteomoris newsmoris shopcube honeybot jamstack
```

## general

```python
>>> from download_stats import stats 
>>> stats('shopyo')
{
    "total": "41327",
    "30_days": "1484",
    "7_days": "506",
    "by_version": [
        ["Date", "4.5.7", "4.5.8", "4.6.0", "Sum", "Total"],
        ["2022-09-01", "0", "1", "3", "4", "24"],
        ["2022-08-31", "2", "1", "17", "20", "126"],
        ...
        ["2022-06-04", "0", "0", "0", "0", "9"],
    ],
}
```

## recent

```python
>>> from download_stats import recent                                                                          
>>> recent('shopyo') 
{
    "data": {"last_day": 23, "last_month": 454, "last_week": 142},
    "package": "shopyo",
    "type": "recent_downloads",
}
```

## version

```python
>>> from download_stats import version
>>> version('shopyo')
{
    "data": [
        {"category": "3", "date": "2022-03-06", "downloads": 1},
        ...
        {"category": "null", "date": "2022-08-31", "downloads": 55},
    ],
    "package": "shopyo",
    "type": "python_major_downloads",
}
>>> version('shopyo', version=3.9)
{
    "data": [
        {"category": "3.9", "date": "2022-03-12", "downloads": 1},
        {"category": "3.9", "date": "2022-03-18", "downloads": 15},
        ...
        {"category": "3.9", "date": "2022-08-29", "downloads": 2},
    ],
    "package": "shopyo",
    "type": "python_minor_downloads",
}
```

## system

```python
>>> from download_stats import system
>>> system('shopyo')
{
    "data": [
        {"category": "Darwin", "date": "2022-03-21", "downloads": 1},
        ...
        {"category": "Windows", "date": "2022-08-22", "downloads": 2},
    ],
    "package": "shopyo",
    "type": "system_downloads",
}
>>> system('shopyo', name='linux')
{
    "data": [
        {"category": "Linux", "date": "2022-03-08", "downloads": 1},
        ...
        {"category": "Linux", "date": "2022-08-31", "downloads": 3},
    ],
    "package": "shopyo",
    "type": "system_downloads",
}

```