semvec/pypi-packages huggingface dataset:
bcp 0.4.0
This is a python utility that allows users to import/export data to/from a database.
Requires Python: >=3.6,<4.0
Keywords: BCP SQLServer MSSQL

# BCP

< badges will go here >

**This is a python utility that allows users to import/export data to/from a database.**

---

# Overview

This library began as a wrapper around SQL Server's BCP utility. It makes some assumptions
about parameters to simplify the interface and allow the user to work natively in python.
Though it currently supports MSSQL, there are plans to extend support to other database dialects.

# Requirements

- Python 3.6+

This library purposely requires no python packages outside of the standard library, beyond testing and documentation
needs. The intention is to maintain this status. However, you will need to have the appropriate command line utilities
installed for the specific database dialects with which you'll interact. For example, if your database is a MS SQL
SERVER instance, you'll need BCP installed. Consult the table below for further documentation, including download files
and instructions.

| RDBMS         | Utility | Documentation / Installation                           |
|:--------------|:--------|:-------------------------------------------------------|
| MS SQL Server | BCP     | https://docs.microsoft.com/en-us/sql/tools/bcp-utility |

# Installation

This library is still in development. So you'll have to build it from
source in the meantime. I'll soon get around to publishing it on pypi, 
in which case you'll be able to install it using `pip`

    pip install bcp

# Examples

Import data:
```python
import bcp

conn = bcp.Connection(host='HOST', driver='mssql', username='USER', password='PASSWORD')
my_bcp = bcp.BCP(conn)
file = bcp.DataFile(file_path='path/to/file.csv', delimiter=',')
my_bcp.load(input_file=file, table='table_name')
```

Export data:
```python
import bcp

conn = bcp.Connection(host='HOST', driver='mssql', username='USER', password='PASSWORD')
my_bcp = bcp.BCP(conn)
file = bcp.DataFile(file_path='path/to/file.csv', delimiter=',')
my_bcp.dump(query='select * from sys.tables', output_file=file)
```

# Full Documentation

For the full documentation, please visit: https://bcp.readthedocs.io/en/latest/
winpath 202002.2
Retrieves common Windows folders as Unicode strings
Requires Python: >=3.0

# WinPath
[![PyPi](https://img.shields.io/pypi/v/winpath.svg)](https://pypi.python.org/pypi/winpath)
[![Build status](https://codecov.io/gh/git-albertomarin/winpath/branch/master/graph/badge.svg)](https://codecov.io/gh/git-albertomarin/winpath)
[![Coverage](https://ci.appveyor.com/api/projects/status/foncpfby5exty5e9?svg=true)](https://ci.appveyor.com/project/git-albertomarin/winpath)
[![License](https://img.shields.io/badge/license-MIT-blue.svg?style=flat-square)](https://en.wikipedia.org/wiki/MIT_License)

WinPath is a python module for retrieving common Windows system paths as Unicode strings.
It is especially useful in cases where the default path to a system file has been changed by the user.
i.e When a user has changed the default path to their Documents folder.

WinPath is a fork of the original [`WinPaths`](http://ginstrom.com/code/winpaths.html)
module by Ryan Ginstrom. It includes bug fixes for issues present in the
[`WinPaths`](http://ginstrom.com/code/winpaths.html)
module and allows its inclusion in platform agnostic projects.

# Installing

Install and update using pip:

```bash
pip install -U winpath
```

# A Simple Example

WinPath can be imported and used within your own project like so.

The following example assumes that the user has chosen to sync their Documents directory with Onedrive.

```python
import sys
import winpath

if sys.platform == "win32": # WinPath will only work on Windows
    my_documents = winpath.get_my_documents()
    print(my_documents) # C:\\Users\\username\\Onedrive\\Documents
```

# Available Functions

   * `get_local_appdata`: Path to `%LOCALAPPDATA%`

   * `get_appdata`: Path to `%APPDATA%`

   * `get_desktop`: Path to the logged in user's desktop folder

   * `get_programs`: current user -> Start menu -> Programs

   * `get_admin_tools`: current user -> Start menu -> Programs -> Admin tools

   * `get_common_admin_tools`: all users -> Start menu -> Programs -> Admin tools

   * `get_common_appdata`: Path to program data folder

   * `get_common_documents`: Path to public documents folder

   * `get_cookies`: Path to internet explorer cookies folder

   * `get_history`: Path to internet explorer history folder

   * `get_internet_cache`: Path to internet explorer cache folder

   * `get_my_pictures`: Path to the logged in user's pictures folder

   * `get_my_documents`: Path to the logged in user's documents folder

   * `get_program_files`: Path to Windows program files folder

   * `get_program_files_common`: Path to Windows' program files -> common files folder

   * `get_system`: Path to Windows' System32 folder

   * `get_windows`: Path to Windows folder

   * `get_favorites`: Path to the logged in user's favorites folder

   * `get_startup`: current user -> start menu -> programs -> startup

   * `get_recent`: Path to the logged in user's recently used files folder

## License

This project is licensed under the terms of the MIT license.
MoCV 0.1.0
List and details of Computer Vision algorithms

# MoCV - Lists of Computer Vision algorithms.

### MoCV ("Mo" is "Open" in Vietnamese) is created to provide tutorials of Computer Vision algorithms.

List of Computer Vision algorithms:
1. Histogram - compute image histogram
2. Histogram Equalization - equalize image histogram to enhance image contrast
3. Linear Scale - lienarly scale image histogram
4. Segmentation by Optimal Thresholding
5. Will be updated soon

### Tutorials for testing
- Install MoCV: pip3 install MoCV
- Image Contrast Enhancement: python3 test.py 1
- Segmentation: python3 test.py 2
- Shifting images: python3 test.py 3 -100 70