semvec/pypi-packages huggingface dataset:
html-to-csv 0.1.3
A utility that extracts tables from HTML documents and converts them to CSV format
Requires Python: >=3.6, <4
Keywords: html table csv convert

# html2csv

[![Build Status](https://travis-ci.com/hanwentao/html2csv.svg?branch=master)](https://travis-ci.com/hanwentao/html2csv)

`html2csv` is a utility that extracts tables from HTML documents and converts them to CSV format, written in Python.

[![asciicast](https://asciinema.org/a/259747.svg)](https://asciinema.org/a/259747)

## Setup

Python 3 is required (version >=3.6).  Install `html2csv` by `pip`.

```
pip install html-to-csv
```

Yes, the package name is `html-to-csv` due to collision ;-)

## Examples

Input from the standard input, and output to the standard output.

    html2csv

Input from a file, and output to the standard output.

    html2csv example.html

Input from files, and output to a file.

    html2csv example1.html example2.html -o output.csv

Input from the network, and output to the standard output.

    html2csv http://example.com

## Usage

```
usage: html2csv [-h] [-o [OUTPUT]] [-e ENGINE] [-V] [input [input ...]]

Convert HTML table to CSV format.

positional arguments:
  input                 input sources (files, URLs, etc., default: standard
                        input)

optional arguments:
  -h, --help            show this help message and exit
  -o [OUTPUT], --output [OUTPUT]
                        output target (default: standard output)
  -e ENGINE, --engine ENGINE
                        HTML parser engine (default: html.parser or lxml if
                        installed)
  -V, --version         display version
```

## Author and Contact

Wentao Han (wentao.han@gmail.com)
sec-edgar 0.0.2
A package for automatically downloading & updating data from the SEC Edgar database

# sec-edgar
A Python package for automatically downloading & updating data from the SEC Edgar database

#### Install
    pip install sec-edgar

#### Downloads all zip files and unzips them to package folder
    from sec_edgar.financial_statements import financial_statements
    financial_statements.download()

#### Specify a directory
    from sec_edgar.financial_statements import financial_statements
    financial_statements.download(dest_path='/home/username/destination')

- This will automatically keep track of downloaded files and only download new files 
when run at a later date
wrap-connection 2.0.0.0
Easily wrap connections and cursors by using decorators.

# wrap-connection
Easily wrap connections and cursors by using decorators.

## Usage example:

A simple usage is this:

```python
def make_connection():
    import sqlite3
    return sqlite3.connect("test.db")

@transact(make_connection, "cur", "con")
def some_operation(person):
    insert_sql = "INSERT INTO persons (id, name) VALUES (?, ?)"
    cur.execute(insert_sql, (person.id, person.name))
    con.commit()

@transact(make_connection)
def some_other_operation():
    select_sql = "SELECT id, name FROM persons"
    result = []
    cursor.execute(select_sql)
    for r in cursor.fetchall():
        result.append(Person(r[0], r[1]))
    return result
```

Those will delimite a transaction in the `some_operation` and `some_other_operation` functions. The `make_connection` function is used to get the connection for each transaction.
rmlhrv 1.0.0
Python toolbox for Heart Rate Variability and Stress Level Analysis.
Requires Python: >=2.7
Keywords: Heart Rate Variability,HRV

# Python toolbox for Heart Rate Variability and Stress Level Analysis.
## Getting Started

### Installation
This toolbox can be installed using the ```pip``` package manager.
```
pip install rmlhrv
```

### Dependencies
- numpy
- scipy
- matplotlib
- nolds

### Disclaimer
This program is distributed in the hope it will be useful and provided to you "as is", but WITHOUT ANY WARRANTY, without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. This program is NOT intended for medical diagnosis. We expressly disclaim any liability whatsoever for any direct, indirect, consequential, incidental or special damages, including, without limitation, lost revenues, lost profits, losses resulting from business interruption or loss of data, regardless of the form of action or legal theory under which the liability may be asserted, even if advised of the possibility of such damages.