semvec/pypi-packages huggingface dataset:
mdtob64 0.0.4
markdown图片转换base64程序

# mdtob64--markdown图片转base64程序

---

## 导入包使用 from mdtob64.mdtob64 import mdtob64

## 命令行运行 mdtob64

## 需要填写两个参数
### 文件路径需要包括文件本身，需要写上格式.md
### 新文件默认存放当前目录下，只需要写上文件名

## 路径或者文件名任意一个输入空则视为取消操作

##v0.0.4
### 增加了标识，备份的文件也可以直接追加内容
pytextdataclean 0.0.3
Text Data Cleaning
Requires Python: >=3
Keywords: "text data clean"

## Project Description

 - This package cleans the text data such as removal of HTML tags, URLs, NLTK Stopwords, numbers, punctuations.
 
### Features
 - Remove URLs
 - Remove HTML Tags
 - Remove NLTK Stopwords
 - Remove Numbers
 - Remove Punctuations
 - Remove Additional Spaces
 - Changes to Lower Case
 
### Installation
 - In the code notebook like IPYNB use the below command\
   ```
   !pip install pytextdataclean
   ```
 
 
 - If installing from Anaconda Prompt of CMD Terminal, use the below command\
   ```
   pip install pytextdataclean
   ```
   
### Usage

#### Input:
```
 - List of text data - Example: ["Is the   time 12 Noon now, isn't it?", "It is a python link: https://pypi.org/"]
 ```
 
#### Output:
```
 - ['time noon', 'python link org']
 ```
 
#### Code to clean text with a single function:
  ```
 from pytextdataclean import textclean as tc
 input_text_list = ["Is the   time 12 Noon now, isn't it?", "It is a python link: https://pypi.org/"]
 result = tc.text_clean(data=input_text_list)
 Output: ['time noon', 'python link org']
 ```