semvec/pypi-packages huggingface dataset:
HandyToolsPy 0.1.10
Handypy is a multifunctional Python tool library, which aims to provide developers with a series of convenient practical tools and simplify daily programming tasks.Whether it is processing data, operating file systems, or network requests, Handypy can provide you with efficient and reliable solutions.
License: MIT
Requires Python: >=3.6.0


# How to use?

## 1. Data Process

### 1.1 Calculate the frequency of words

```python
from HandyToolsPy import DataProcess as dp

words = ["a","a","a","a","b","b","c"]
res = dp.count_words_freq(words)
print(res)
```

output:

```text
{'a': 4, 'b': 2, 'c': 1}
```

It also support csv file (`DataFrame` format):

Here is a csv file named `sample.csv`:

```csv
hello
world
haha
haha
hello
hello
```

the code will be:

```python
from HandyToolsPy import DataProcess as dp
import pandas as pd

words = pd.read_csv('./sample.csv', names=["word"])
res = dp.count_words_freq(words["word"])
print(res)
```

output:

```text
{'hello': 3, 'haha': 2, 'world': 1}
```

## 2. A Translator

It can automaticly detect the language of the input text and translate it to the target language.

```python
from HandyToolsPy import translator

text = "你好"
res = translator(text, "en")
print(res)
```

output:

```bash
'Hello'
```

## 3. A Drawer

It can draw a BingDunDun.

```python
from HandyToolsPy import Draw as dw

dw.draw_BingDunDun(10)
```

## 4. A Dir Tree Generator

It can generate a dir tree.

```python
from HandyToolsPy import dir_tree

path = "Sample Path"
dir_tree(path)
```

output:

```text
D:/Sample/
├── sample.exe
└── xxx
    ├── hhh
    ├── hhh.zip
    ├── xh.bmp
    ├── xxx.pptx
    └── xxx.txt
```
nlpcloud 1.1.47
Python client for the NLP Cloud API
License: MIT
Keywords: api, NLP, ai, deep learning, machine learning, data science, nlpcloud

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, speech synthesis, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.

This is the Python client for the API.

More details here: https://nlpcloud.com

Documentation: https://docs.nlpcloud.com

Github: https://github.com/nlpcloud/nlpcloud-python