semvec/pypi-packages huggingface dataset:
NumpyArrayVisualization 0.1
https://www.bilibili.com/video/BV1WX4y1h775/

# NumpyArrayVisualization

教学网站：https://www.bilibili.com/video/BV1WX4y1h775/

![20230528233216](https://github.com/JohnsonSii/NumpyArrayVisualization/assets/67853082/c35c9fc3-b354-4992-a6ab-81749fc31679)
quick-anomaly-detector 0.3.5
models class for quick Anomaly Detection
Requires Python: >=3.11.2

# AnomalyDetectionModel
AnomalyDetectionModels

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

## Overview

`AnomalyDetectionModel` is a python library that includs some simple implementation of an anomaly detection model.   
For more details, please refer to the document page:   
[Document](https://anomalydetectionmodel.readthedocs.io/en/latest/index.html)   
pypi page link is here:(https://pypi.org/project/quick-anomaly-detector/)   

### Quick Start
#### Installation

You can install `Anomaly Detection Model` using pip:

```
pip install quick-anomaly-detector
```

Quick Start:   
```
from quick_anomaly_detector.models import AnomalyGaussianModel


# Load your datasets (X_train, X_val, y_val)
model = AnomalyGaussianModel()

# Train the model
model.train(X_train, X_val, y_val)

# Predict anomalies in the validation dataset
anomalies = model.predict(X_val)

```
MVC-Python 0.0.10
A python module for Skyhigh SSE API and administrative access
Requires Python: >=3.8

# Skyhigh SSE Python module (MVC-Python)
### A Python class for Skyhigh Security Service Edge APIs

Project on PyPI: https://pypi.org/project/MVC-Python

Project on GitHub: https://github.com/zengelan/MVC-Python

> [!NOTE]
> **Skyhigh SSE** is the successor of Skyhigh Networks CASB and McAfee Web Gateway Cloud Services. These products are now joined together and marketed by the brand **Skyhigh Security**

If you want to try out Skyhigh SSE register for one of these hands-on workshops: https://www.skyhighsecurity.com/lp/sse-virtual-hands-on-workshops.html

More information about the brand, the company and the solutions are available at: https://www.skyhighsecurity.com/

> [!TIP]
> Skyhigh SSE converges Secure Web Gateway (SWG), Cloud Access Security Broker (CASB), Private Access (ZTNA), Data Loss Prevention (DLP) and Remote Browser Isolation (RBI) into a single platform, Skyhigh Cloud Platform. Skyhigh SSE provides real-time data and threat protection against advanced and cloud-enabled threats and safeguards data across all vectors (web, cloud, email, and private apps) and users.

Documentation for the Skyhigh Security Service Edge Solution is available at https://success.skyhighsecurity.com/

> [!IMPORTANT]
> Eventually this project will be renamed to "skyhigh-sse-python" and all references to "McAfee" or "MVC" will be removed


## Prepreqs
You need to set the environment variable named `MVC_OAUTH_CLIENT_ID` to an OAuth ID that is accepted by Trellix IAM.
You can ask Skyhigh Security Sales Systems Engineer on how to get this ID, or extract it yourself from the login flow to the UI.
Set it as environment variable e.g. like this:

* `set MVC_OAUTH_CLIENT_ID=1234567890`  (Windows)
* `export MVC_OAUTH_CLIENT_ID=1234567890`   (Linux/Mac)

## Installation
### Manual Installation
1. Download it from the release package here: https://github.com/zengelan/MVC-Python/releases/
2. Execute `python3 -m pip install skyhigh_sse_python-VERSION.whl` to install the module

### Using PyPI
The module is available on PyPI here: https://pypi.org/project/MVC-Python
1. `python3 -m pip install MVC-Python`
smarte2lib 0.1
Common tools for the SmartE2 organization.

# smarte2lib

`smarte2lib` is a comprehensive Python library developed to support the wide array of projects undertaken by the smarte2 organization. It provides a robust set of tools and functions designed to streamline development, encourage code reuse, and enhance collaboration among students and researchers involved in smarte2 projects.

## Features

`smarte2lib` offers a variety of functionalities tailored to the needs of smarte2 projects, including but not limited to:

- **Data Analysis:** Advanced functions for processing and analyzing complex datasets.
- **Visualization:** Tools for generating insightful and visually appealing data representations.
- **File Management:** Efficient solutions for handling various file operations and data storage.
- **Network Communication:** Facilitates seamless communication between different systems and project components.
- **Task Automation:** Scripts and functions to automate repetitive tasks and optimize workflows.

## Installation

To install `smarte2lib`, simply use pip:

```bash
pip install smarte2lib
```

# Usage 

To use smarte2lib in your project, import the library or specific functions you need:

```python
from smarte2lib import some_function

# Use the function in your code
result = some_function(arguments)
```

# Contributing
We welcome contributions to smarte2lib! If you're interested in contributing, please take a look at our contribution guidelines in CONTRIBUTING.md.

# License
smarte2lib is released under the MIT License. See the LICENSE file for more details.

# Authors and Acknowledgment
This library is the result of the collaborative effort of the smarte2 team. We extend our gratitude to all contributors and maintainers.

# Support
For support, questions, or assistance, please contact the smarte2 chair development team at [your-contact-email@example.com].
stap 0.0.1a0
Python tools for STAP
Requires Python: >=3.8

# stap

<!--
[![PyPI - Version](https://img.shields.io/pypi/v/stap.svg)](https://pypi.org/project/stap)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/stap.svg)](https://pypi.org/project/stap)

-----

**Table of Contents**

- [Installation](#installation)
- [License](#license)

## Installation

```console
pip install stap
```

## License

`stap` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
-->
flet-abp-cli 1.0.10
This is my first module
Requires Python: >=3.10

# туториал гайд инструкция как билдить 

https://kpk.1c.ru/timetable_1С

https://bit.ly/ntoabp1
https://www.rejetto.com/hfs/?f=dl

Gitlab - http://192.168.60.102/

https://git-scm.com/download/win

```
winget install --id Git.Git -e --source winget
```


Makefile

https://gnuwin32.sourceforge.net/downlinks/make.php

```
.PHONY: build
build:
	flet pack 'app/main.py' \
	--icon "app/favicon.png" \
	--product-name "NTO_ABP" \
	--product-version "1.4" \
	--file-version "1.0" \
	--file-description "NTO_ABP" \
	--copyright "2023" \
```

main.spec

```
# -*- mode: python ; coding: utf-8 -*-


a = Analysis(
    ['app\\main.py'],
    pathex=[],
    binaries=[],
    datas=[],
    hiddenimports=[],
    hookspath=[],
    hooksconfig={},
    runtime_hooks=[],
    excludes=[],
    noarchive=False,
)
pyz = PYZ(a.pure)

exe = EXE(
    pyz,
    a.scripts,
    a.binaries,
    a.datas,
    [],
    name='main',
    debug=False,
    bootloader_ignore_signals=False,
    strip=False,
    upx=True,
    upx_exclude=[],
    runtime_tmpdir=None,
    console=False,
    disable_windowed_traceback=False,
    argv_emulation=False,
    target_arch=None,
    codesign_identity=None,
    entitlements_file=None,
    version='C:\\Users\\Maksim\\AppData\\Local\\Temp\\37793d5a-645a-4a5f-8bcf-a967b0af6aa0',
    icon=['app\\favicon.png'],
)

```