semvec/pypi-packages huggingface dataset:
links-verification 1.0.1
Verify that all the external/absolute links within a web page work correctly.
License: MIT
Requires Python: >=3.7
Keywords: scraping,links,verify,verify links,external links,request,bas4,beautiful soup 4,testing

# Links verification
Verify that all the external/absolute links within a web page work correctly.
 
# Install
``` bash
$ pip install links-verification
```

# How to use
``` bash
from links_verification import verify

my_verify = verify.Verify ("https://www.url_example.com")


# PRINT INFORMATION

# Print all links functional links, error links and the problem of the error links
my_verify.print_all_links()

# Print only the functional links
my_verify.print_functional_links()

# Print only the error links and their errors
my_verify.print_error_links()


# SAVE INFORMATION IN FILE

# External file absolute path
my_file = os.path.join (os.path.dirname(__file__), "ouput.txt")

# Save in external text file all links and the problem error links
my_verify.save_all_links(my_file)

# Save in external text file only the functional links
my_verify.save_functional_links (my_file)

# Save in external text file only the error links and their errors
my_verify.save_error_links (my_file)


# RETURN INFORMATION

# Return a dictionary with the keywords: "functional" and "erros", whitch contains the link list
links = my_verify.return_all_links()

# Retiurn only the functional links in a list
links = my_verify.return_functional_links()

# Return only the error links and their errors in a list
links = my_verify.return_error_links()
```
extractor-phone-email 1.0.3
Package that allows, with regular expressions, to extract from texts, phone numbers and emails
License: MIT
Requires Python: >=3.7
Keywords: extract,re,phones,emails

# Extractor_phone_email
Get from text or clipboard emails and phone numbers

## Install

``` bash
$ pip install extractor-phone-email
```

## How to use

``` python
# Import pakage
from extractor_phone_email import extractor

# Make an intance reading the clipboard
myExtractor = extractor.Extractor()

# Make an intance with specific text
myExtractor = extractor.Extractor("This is an example text +524493247419 hernandezdarifrancisco@gmail.com")

#Return all numbers and emails
myExtractor.get()

# Return only phone numbers
myExtractor.get_phones()

# Return only emails
myExtractor.get_emails()
```
backup-folder-to-zip 1.0.2
Copies an entire folder and its contains into a zip file whose filename increments.
License: MIT
Requires Python: >=3.7
Keywords: zip,backup,back up,auto backup,auto back up

# Backup folder to zip
Copies an entire folder and its contains into a zip file whose filename increments. 

## Install

``` bash
$ pip install backup-folder-to-zip
```

## How to use

``` python
# Import pakage
from backup_folder_to_zip import backup

#  Save local folders
from_folder = "c:\\user\\my_files"
to_folder = "c:\\user\\backup_of_my_files"

# backup folder 
mybackup = extractor.Extractor(from_folder, to_folder)
```
excel-csv-converter 1.0.1
Convert each page from xlsx file to csv files, convert file csv to xlsx document, insert csv data in existing file
License: MIT
Requires Python: >=3.7
Keywords: xlsx,csv,excel,extract,convert

# Excel csv converter
Convert each page from xlsx file to csv files, convert file csv to xlsx document, insert csv data in existing file


# Install
``` bash
$ pip install excel_csv_converter
```

# How to use

``` python
# import converter
from excel_csv_converter import converter

# CONVERT XLSX DOCUMENTS TO CSVs

file_xlsx = "c:\\my_file.xlsx"
folder_destination = "c:\\my_folder"

my_converter = converter.Xlsx_to_csv (file_xlsx, folder_destination)

# INSERT CSV FILE IN XLSX DOCUMENT

file_csv = "c:\\my_file.csv"
file_xlsx_destination = "c:\\my_file.xlsx"

my_converter = converter.Csv_to_xlsx (file_csv, file_xlsx_destination)
```
maarii-data 1.0
Python library to connect and stream the market data.
License: MIT
Requires Python: >=3.7
Keywords: Market

# AccelPix Data API

# Introduction 

Python library to connect and stream the market data.
This is websocket and fallback transport based library with all the functionalyties to get eod and live streaming data

Simple and easy integration with your web application/portal, all heavy weight work are back lifted.