semvec/pypi-packages huggingface dataset:
connection-monitor 0.0.6
Connection monitoring utility
Requires Python: >=3.7

README
======

This package provides a long-running command to measure network performance.

Following figures are recorded to a csv file:

* packets sent
* packets received
* network latency
* statistics from the home router

Prerequisites
-------------

* ``Python >= 3.7``, due to usage of ``dataclasses`` and ``annotations``;
* Normally handled nicely py installation procedure: ``bs4``, ``click``,
  ``pyyaml``, ``psutil`` and ``requests`` third-party libraries.

Installation
------------

This package is hosted on `Pypi`, so it's as easy as:

    pip install connection-monitor

Usage
-----

1. Create a ``secrets.yml`` file with credentials to connect to your router;
   see content of sample file.

2. Open a terminal, activate the virtualenv if appropriate, and simply type::

    monitor

Available options:

* ``-s SECRETS_FILENAME``

  Filename to the secrets file.
  Defaults to ``secrets.yml`` in current working folder.

* ``-o FILENAME``

  Filename to write the stats into.
  By default, the stats go in current folder, in file named ``'network_data.csv'``.

  Writing is in append mode; previous data is kept.

* ``-h HOST [HOST...]``

  Address(es) to connect to, to measure latency.
  Defaults to some French web servers.

* ``-d DELAY``

  Delay between two samplings. Defaults to 1 minute, to behave fairly.

* ``-v``

  Verbosity setting; use it to show measurements to command line.
  Repeat it to show debug messages, i.e. ``-vv``.
  Default behavior is to show only errors and warnings.
ultimateEda 0.0.3
EDA & Univariate Analysis


# ultimateEda
With This Library  You can do the EDA(Exploroty data analysis)



## version
0.0.1
## Authors

- [@RANJIT_MAITY](https://www.linkedin.com/in/ranjit-maity-75204a131/)


## Reales Date 
 13-02-2022
 
 


## Badges

[![MIT License](https://img.shields.io/apm/l/atomic-design-ui.svg?)](https://github.com/tterb/atomic-design-ui/blob/master/LICENSEs)
[![GPLv3 License](https://img.shields.io/badge/License-GPL%20v3-yellow.svg)](https://opensource.org/licenses/)
[![AGPL License](https://img.shields.io/badge/license-AGPL-blue.svg)](http://www.gnu.org/licenses/agpl-3.0)


## ðŸš€ About Me
I Am Ranjit From INDIA, a Certified Data scientist , Data Engineer by professional  with hands-on experience of more than 1year and 2months ,on ML> NLP> Data mining > Neural Networks > ModeL Deployment>ETL.
 Give me raw data and I'll return you insights, problems to be rectified and enhancements to achieve the target. I am always on the lookout for new projects to work And 
Am Always Happy â˜» To Play With Data


## ðŸ”— Links

[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/ranjit-maity-75204a131/)
[![twitter](https://img.shields.io/badge/twitter-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://twitter.com/ranjitmaity95)


## Demo

- YOU HAVE TO CALL THE EDA finction and pass your DATAFRANE(DF).
    cool SEAT BACK RELAX.




## Usage/Examples

```python
! pip install ultimateEda
```
```python
import ultimateEda as ue
```
```python
result=ue.eda.EDA(df)
#Your Dataframe
#It will return a Dataframe 

```
```python
result
#to look to the result dataframe

```
gustav-crocopy 0.0.1
Tools to process CROCO
Keywords: CROCO

This is the processing tools for the Coastal and Reagional Ocean COmmunity (CROCO) modelling system. 
CROCO is a 3D modelling system used to simulate the ocean realistically. 
This is still under development. 

Change Log
================

0.0.1 (18/02/2022)
--------------------
-First Release
kontur-unp1c 0.0.0
Сбор/разбор бинарей 1С:Предприятие
Requires Python: >=3.6

# unp1c

Сбор/разбор бинарей 1С:Предприятие

## Установка

```bash
# из репозитория
pip install .
# из pypi.kontur.host
pip install --index-url https://pypi.kontur.host kontur-unp1c
```

## Использование

Работа с бинарными файлами

```py
from kontur.unp1c import build_file, dump_file

form_bin = "src/Form.bin"
form_src = "src"
                                              # переход с v8unpack 
dump_file(v8file=form_bin, src_dir=form_src)  # os.system(f"v8unpack -U {form_bin} {form_src}")
build_file(v8file=form_bin, src_dir=form_src) # os.system(f"v8unpack -PA {form_src} {form_bin}")
```

Работа с каталогами исходников

```py
from kontur.unp1c import pack_forms, unpack_forms

unpack_forms("src")
pack_forms("src")
```