semvec/pypi-packages huggingface dataset:
logPPP 1.3.0
logPPP

# 日志记录

## 简介
日志记录模块是一个简单的日志输出工具，它可以将不同等级（INFO、WARNING、ERROR、DEBUG、CRITICAL）的日志输出到控制台。

## 使用方法
要使用日志记录模块，请在您的Python脚本或模块中导入它，如下所示：

```
pip install logPPP
```

## 示例

```python
from logPPP import *

logger = get_logger(logging_level=INFO,
                    logging_is_output_sys_stdout=True,
                    logging_file="log.log",
                    logger_name=None,
                    logging_fmt=None,
                    logging_date_fmt=None)

logger.info("info")
logger.debug("debug")
logger.warning("warning")
logger.error("error")
logger.critical("critical")
```
pydbjson 0.0.5
A small database using json


# PyDbJson

`pydbjson` is a simple Python library for managing JSON-based databases.

## Table of Contents

- [Installation](#installation)
- [Description](#Description)
- [Usage](#usage)

## Installation

You can install `pydbjson` using pip:
```python
pip install pydbjson
```


## Description

`pydbjson` provides a convenient way to interact with JSON-based databases in Python. It allows you to load data from a JSON file, insert, retrieve, delete, and find documents, and save the data back to the file.

## Usage

### Importing the library

```python
from pydbjson.pydbjson import pydbjson
```

### Creating an instance of pydbjson

```python
db = pydbjson("database.json")
```

Create an instance of the `pydbjson` class by providing the filename or path of the JSON database file.

### Inserting a document

```python
document = {"name": "John", "age": 30}
key = db.insert_one(document)
```

Insert a document into the database. The `insert_one` method returns the key of the inserted document.

### Find a document

```python
document = {"name": "John"}
found_document = db.find_one(document)
```

Find a document from the database based on the provided data.

### Deleting a document

```python
db.delete_one(found_document)
```

Delete a document from the database based on the data.
pelican-minification 1.0.1
Minifies HTML, CSS and JS of generated Pelican content.
Keywords: pelican,javascript,css,html,minification

⚠️⚠️⚠️ **IMPORTANT** ⚠️⚠️⚠️

The plugin was moved to the official Pelican plugin organization.

You can now find it here: https://github.com/pelican-plugins/minify

Also the package name changed to `pelican-minify`. Please read the docs.

New PyPI place is https://pypi.org/project/pelican-minify/.

⚠️⚠️⚠️ **IMPORTANT** ⚠️⚠️⚠️
lemon-gtm 1.0.0
A Global Tracking Model for Python
Requires Python: >=3


# LemonGTM

Lemon Global Tracking Model


## Install

```shell
pip install lemon-gtm
```


## Usage

```python
from lemonGTM import *
c = core("<Data-Filename>")
print(c.analysis("<Word>")[0])
```


## Data Format

```plain
data1
data2
data3
data4
...
```