semvec/pypi-packages huggingface dataset:
oper-math-basic-project 0.0.1
A pacage with two basic math operations
Requires Python: >=3.8

# package_name

Description. 
The package operaciones is used to:
	- Add some numbers
	- Substract some numbers

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install package_name
```

## Usage

```python
from operaciones import suma
operaciones.suma_num()

from operaciones import resta
operaciones.resta_num()
```

## Author
Sabuat Urbina Ribeiro

## License
[MIT](https://choosealicense.com/licenses/mit/)
celltk2 0.4.3
A toolkit for analysis of live-cell microscopy images
Requires Python: >=3.9

[![Documentation Status](https://readthedocs.org/projects/celltk/badge/?version=latest)](https://celltk.readthedocs.io/en/latest/?badge=latest)
[![pytest](https://github.com/sjeknic/CellTK/actions/workflows/main.yml/badge.svg)](https://github.com/sjeknic/CellTK/actions/workflows/main.yml)

![Logo](https://github.com/sjeknic/CellTK/blob/main/docs/logo/black-largeAsset.png)

# CellTK2
Toolkit for analysis of live-cell microscopy data

## Installation

The easiest installation method is via pip:

`pip install celltk2`

To install [BayesianTracker](https://github.com/quantumjot/BayesianTracker) tracking method:

`pip install celltk2[btrack]`

Note: If you are using a Mac with Apple silicon processor, you may run into some issues with this installation. Your best bet may be to try to use conda to install cvxopt before doing the pip install above.

To install [graph-based](https://git.scc.kit.edu/KIT-Sch-GE/2021-cell-tracking) tracking method:

`pip install celltk2[kit]`

If you run into any problems, please open an issue.

## Usage

More details on getting started coming soon. In the meantime, please see the documentation below.

## Documentation
[https://celltk.readthedocs.io/en/latest/](https://celltk.readthedocs.io/en/latest/)

## Credits
This would not be possible without the original CellTK: [https://github.com/braysia/CellTK](https://github.com/braysia/CellTK)
yijiang-202203-202204 2022.11.1.0
译匠 2022.3~2022.4
Requires Python: >=3.6

# 译匠 2022.3~2022.4

## 下载

### Docker

```
docker pull apachecn0/yijiang-202203-202204
docker run -tid -p <port>:80 apachecn0/yijiang-202203-202204
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202203-202204
yijiang-202203-202204 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingererlingsan-erlingererlingsi
yijiang-erlingererlingsan-erlingererlingsi <port>
# 访问 http://localhost:{port} 查看文档
```
sample-size 3.0.0
A python module implementing power analysis to estimate sample size
Requires Python: >=3.7.1,<3.11
Keywords: sample size,experimentation,power analysis

# sample-size

This python project is a helper package that uses power analysis to calculate required sample size for any experiment.

## Script Usage Guide

Sample size script lets you get the sample size estimation easily by providing metric inputs.

### Requirements

Please make sure you have [Python 3](https://www.python.org/downloads/) installed before using the script.

**Verify Python was installed** 

```bash
python -V # python version should >=3.7.1, <3.11
```

**Verify pip was installed** 
```bash
pip -V 
```

### Install the package

```bash
pip install sample-size
pip show sample-size # verify package was installed
```

### Start using the script

`run-sample-size` will prompt required questions for you to enter the input it needs

```bash
run-sample-size
```

```mermaid
graph TD
    A(Alpha) --> B(Variants)
    B --> C(Metric Type)
    C --> D(Metadata)
    D --> E(MDE)
    E --> G(Alternative)
    G --> F{{Register another metric?}}
    F --> C & H(Sample Size)
```


### Script Constraints
* This package supports 
  * Single and multiple metrics per calculation
  * Multiple cohorts, i.e. more than one treatment variant, per calculation
  * Metric types: Boolean, Numeric, and Ratio
* Default statistical power (80%) is used in `run-sample-size` all the time
* Input constraints
  * alpha: (0, 0.4]
  * probability (Boolean Metric): (0, 1)
  * variance (Numeric and Ratio Metrics): [0, <a href="https://www.codecogs.com/eqnedit.php?latex=\small&space;&plus;\infty" target="_blank"><img src="https://latex.codecogs.com/svg.latex?\small&space;&plus;\infty" title="\small +\infty" /></a>)
  * registered metrics: [1, <a href="https://www.codecogs.com/eqnedit.php?latex=\small&space;&plus;\infty" target="_blank"><img src="https://latex.codecogs.com/svg.latex?\small&space;&plus;\infty" title="\small +\infty" /></a>]
  * variants: [2, <a href="https://www.codecogs.com/eqnedit.php?latex=\small&space;&plus;\infty" target="_blank"><img src="https://latex.codecogs.com/svg.latex?\small&space;&plus;\infty" title="\small +\infty" /></a>]
  
  Please be aware that we are running simulations many times when calculating sample size for multiple metrics or variants. Therefore, too many cohorts or metrics will have extremely long runtime.


## Contributing

All contributors and contributions are welcome! Please see the [contributing docs](CONTRIBUTING.md) for more information.
yijiang-202111-202112 2022.11.1.0
译匠 2021.11~2021.12
Requires Python: >=3.6

# 译匠 2021.11~2021.12

## 下载

### Docker

```
docker pull apachecn0/yijiang-202111-202112
docker run -tid -p <port>:80 apachecn0/yijiang-202111-202112
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202111-202112
yijiang-202111-202112 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingeryiyiyi-erlingeryiyier
yijiang-erlingeryiyiyi-erlingeryiyier <port>
# 访问 http://localhost:{port} 查看文档
```
mftpclient 0.0.3
A minimal Multipath TCP client
Requires Python: >=3.7

# mftpclient
![release badge](https://badgen.net/https/ingenzivany.npkn.net/mftpclient-version) ![license MIT badge](https://badgen.net/badge/license/MIT/blue) ![tests](https://github.com/vanyingenzi/mftpclient/actions/workflows/tests.yaml/badge.svg)


## About
Minimal Python FTP client in order to allow file transfer on top of Multipath TCP (MPTCP). For a deeper read about Multipath TCP, please consult this [webpage](https://obonaventure.github.io/mmtp-book/).


## Table of Contents
- Getting Started
- Enabling MPTCP

## Getting Started 

There are no extra python dependencies needed since the client extends the CPython FTP client. 

In order to use Multipath **TCP** you have to ensure that your operating system support Multipath **TCP**. However for portability reasons if the operating system doesn't support Multipath **TCP** then the implementation falls back to a normal **TCP** connection.

## Enabling MPTCP

### Linux

Multipath **TCP** is supported in the official linux kernel starting from version 5.6. 

In order to verify is Multipath **TCP** is enabled, run the following command :

```bash
sudo sysctl -a | grep mptcp.enabled
```

The expected result should be `net.mptcp.enabled = 1`. It is possible that the output is `net.mptcp.enabled = 0`. If you want to enable it run :

```bash
sudo sysctl -w net.mptcp.enabled=1
```

Some **FTP** commands (especially `PORT`) are changed when passing through the internet by middleboxes. In order for **MTCP** to detect such changes both the client and sender have to enable the MTCP Checksum. If the checksum calculated and sent by the sender mismatch the one calculated by the receiver, then the connections fallsback to a TCP connection to preserve the established connection. More about the topic on this [page](https://obonaventure.github.io/mmtp-book/mptcp.html?highlight=ftp#coping-with-middlebox-interference). Note that for FTPS this step is not neccessary.

To enable the **MPTCP** checksum run :

```bash
sudo sysctl -w net.mptcp.checksum_enabled=1
```
yijiang-202109-202202 2022.11.1.0
译匠 2022.9~2022.22
Requires Python: >=3.6

# 译匠 2022.9~2022.22

## 下载

### Docker

```
docker pull apachecn0/yijiang-202109-202202
docker run -tid -p <port>:80 apachecn0/yijiang-202109-202202
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202109-202202
yijiang-202109-202202 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingeryilingjiu-erlingererlinger
yijiang-erlingeryilingjiu-erlingererlinger <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-202107-202108 2022.11.1.0
译匠 2022.7~2022.8
Requires Python: >=3.6

# 译匠 2022.7~2022.8

## 下载

### Docker

```
docker pull apachecn0/yijiang-202107-202108
docker run -tid -p <port>:80 apachecn0/yijiang-202107-202108
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202107-202108
yijiang-202107-202108 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingeryilingqi-erlingeryilingba
yijiang-erlingeryilingqi-erlingeryilingba <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-202105-202106 2022.11.1.0
译匠 2022.5~2022.6
Requires Python: >=3.6

# 译匠 2022.5~2022.6

## 下载

### Docker

```
docker pull apachecn0/yijiang-202105-202106
docker run -tid -p <port>:80 apachecn0/yijiang-202105-202106
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202105-202106
yijiang-202105-202106 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingeryilingwu-erlingeryilingliu
yijiang-erlingeryilingwu-erlingeryilingliu <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-202103-202104 2022.11.1.0
译匠 2021.3~2021.4
Requires Python: >=3.6

# 译匠 2021.3~2021.4

## 下载

### Docker

```
docker pull apachecn0/yijiang-202103-202104
docker run -tid -p <port>:80 apachecn0/yijiang-202103-202104
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202103-202104
yijiang-202103-202104 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingeryilingsan-erlingeryilingsi
yijiang-erlingeryilingsan-erlingeryilingsi <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-202101-202102 2022.11.1.0
译匠 2021.1~2021.2
Requires Python: >=3.6

# 译匠 2021.1~2021.2

## 下载

### Docker

```
docker pull apachecn0/yijiang-202101-202102
docker run -tid -p <port>:80 apachecn0/yijiang-202101-202102
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202101-202102
yijiang-202101-202102 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingeryilingyi-erlingeryilinger
yijiang-erlingeryilingyi-erlingeryilinger <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-202011-202012 2022.11.1.0
译匠 2020.11~2020.12
Requires Python: >=3.6

# 译匠 2020.11~2020.12

## 下载

### Docker

```
docker pull apachecn0/yijiang-202011-202012
docker run -tid -p <port>:80 apachecn0/yijiang-202011-202012
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202011-202012
yijiang-202011-202012 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingerlingyiyi-erlingerlingyier
yijiang-erlingerlingyiyi-erlingerlingyier <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-202009-202010 2022.11.1.0
译匠 2020.9~2020.10
Requires Python: >=3.6

# 译匠 2020.9~2020.10

## 下载

### Docker

```
docker pull apachecn0/yijiang-202009-202010
docker run -tid -p <port>:80 apachecn0/yijiang-202009-202010
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202009-202010
yijiang-202009-202010 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingerlinglingjiu-erlingerlingyiling
yijiang-erlingerlinglingjiu-erlingerlingyiling <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-202006-202008 2022.11.1.0
译匠 2020.6~2020.8
Requires Python: >=3.6

# 译匠 2020.6~2020.8

## 下载

### Docker

```
docker pull apachecn0/yijiang-202006-202008
docker run -tid -p <port>:80 apachecn0/yijiang-202006-202008
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202006-202008
yijiang-202006-202008 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingerlinglingliu-erlingerlinglingba
yijiang-erlingerlinglingliu-erlingerlinglingba <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-202002-202005 2022.11.1.0
译匠 2020.2~2020.5
Requires Python: >=3.6

# 译匠 2020.2~2020.5

## 下载

### Docker

```
docker pull apachecn0/yijiang-202002-202005
docker run -tid -p <port>:80 apachecn0/yijiang-202002-202005
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-202002-202005
yijiang-202002-202005 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingerlinglinger-erlingerlinglingwu
yijiang-erlingerlinglinger-erlingerlinglingwu <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-201910-202001 2022.11.1.0
译匠 2019.10~2020.1
Requires Python: >=3.6

# 译匠 2019.10~2020.1

## 下载

### Docker

```
docker pull apachecn0/yijiang-201910-202001
docker run -tid -p <port>:80 apachecn0/yijiang-201910-202001
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-201910-202001
yijiang-201910-202001 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingyijiuyiling-erlingerlinglingyi
yijiang-erlingyijiuyiling-erlingerlinglingyi <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-201905-201909 2022.11.1.0
译匠 2019.5~2019.9
Requires Python: >=3.6

# 译匠 2019.5~2019.9

## 下载

### Docker

```
docker pull apachecn0/yijiang-201905-201909
docker run -tid -p <port>:80 apachecn0/yijiang-201905-201909
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-201905-201909
yijiang-201905-201909 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingyijiulingwu-erlingyijiulingjiu
yijiang-erlingyijiulingwu-erlingyijiulingjiu <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-201901-201904 2022.11.1.0
译匠 2019.1~2019.4
Requires Python: >=3.6

# 译匠 2019.1~2019.4

## 下载

### Docker

```
docker pull apachecn0/yijiang-201901-201904
docker run -tid -p <port>:80 apachecn0/yijiang-201901-201904
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-201901-201904
yijiang-201901-201904 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingyijiulingyi-erlingyijiulingsi
yijiang-erlingyijiulingyi-erlingyijiulingsi <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-201809-201812 2022.11.1.0
译匠 2018.9~2018.12
Requires Python: >=3.6

# 译匠 2018.9~2018.12

## 下载

### Docker

```
docker pull apachecn0/yijiang-201809-201812
docker run -tid -p <port>:80 apachecn0/yijiang-201809-201812
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-201809-201812
yijiang-201809-201812 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingyibalingjiu-erlingyibayier
yijiang-erlingyibalingjiu-erlingyibayier <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-201806-201808 2022.11.1.0
译匠 2018.6~2018.8
Requires Python: >=3.6

# 译匠 2018.6~2018.8

## 下载

### Docker

```
docker pull apachecn0/yijiang-201806-201808
docker run -tid -p <port>:80 apachecn0/yijiang-201806-201808
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-201806-201808
yijiang-201806-201808 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingyibalingliu-erlingyibalingba
yijiang-erlingyibalingliu-erlingyibalingba <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-201803-201805 2022.11.1.0
译匠 2018.3~2018.5
Requires Python: >=3.6

# 译匠 2018.3~2018.5

## 下载

### Docker

```
docker pull apachecn0/yijiang-201803-201805
docker run -tid -p <port>:80 apachecn0/yijiang-201803-201805
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-201803-201805
yijiang-201803-201805 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingyibalingsan-erlingyibalingwu
yijiang-erlingyibalingsan-erlingyibalingwu <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-201711-201802 2022.11.1.0
译匠 2017.11~2018.2
Requires Python: >=3.6

# 译匠 2017.11~2018.2

## 下载

### Docker

```
docker pull apachecn0/yijiang-201711-201802
docker run -tid -p <port>:80 apachecn0/yijiang-201711-201802
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-201711-201802
yijiang-201711-201802 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingyiqiyiyi-erlingyibalinger
yijiang-erlingyiqiyiyi-erlingyibalinger <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-201705-201710 2022.11.1.0
译匠 2017.5~2017.10
Requires Python: >=3.6

# 译匠 2017.5~2017.10

## 下载

### Docker

```
docker pull apachecn0/yijiang-201705-201710
docker run -tid -p <port>:80 apachecn0/yijiang-201705-201710
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-201705-201710
yijiang-201705-201710 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingyiqilingwu-erlingyiqiyiling
yijiang-erlingyiqilingwu-erlingyiqiyiling <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-201610-201704 2022.11.1.0
译匠 2016.10~2017.4
Requires Python: >=3.6

# 译匠 2016.10~2017.4

## 下载

### Docker

```
docker pull apachecn0/yijiang-201610-201704
docker run -tid -p <port>:80 apachecn0/yijiang-201610-201704
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-201610-201704
yijiang-201610-201704 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingyiliuyiling-erlingyiqilingsi
yijiang-erlingyiliuyiling-erlingyiqilingsi <port>
# 访问 http://localhost:{port} 查看文档
```
yijiang-201408-201609 2022.11.1.0
译匠 2014.8~2016.9
Requires Python: >=3.6

# 译匠 2014.8~2016.9

## 下载

### Docker

```
docker pull apachecn0/yijiang-201408-201609
docker run -tid -p <port>:80 apachecn0/yijiang-201408-201609
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yijiang-201408-201609
yijiang-201408-201609 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yijiang-erlingyisilingba-erlingyiliulingjiu
yijiang-erlingyisilingba-erlingyiliulingjiu <port>
# 访问 http://localhost:{port} 查看文档
```
xianhua-yingyu-202207-202210 2022.11.1.0
线话英语 2022.7~2022.10
Requires Python: >=3.6

# 线话英语 2022.7~2022.10

## 下载

### Docker

```
docker pull apachecn0/xianhua-yingyu-202207-202210
docker run -tid -p <port>:80 apachecn0/xianhua-yingyu-202207-202210
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install xianhua-yingyu-202207-202210
xianhua-yingyu-202207-202210 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g xianhua-yingyu-erlingererlingqi-erlingereryiling
xianhua-yingyu-erlingererlingqi-erlingereryiling <port>
# 访问 http://localhost:{port} 查看文档
```
xianhua-yingyu-202203-202206 2022.11.1.0
线话英语 2022.3~2022.6
Requires Python: >=3.6

# 线话英语 2022.3~2022.6

## 下载

### Docker

```
docker pull apachecn0/xianhua-yingyu-202203-202206
docker run -tid -p <port>:80 apachecn0/xianhua-yingyu-202203-202206
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install xianhua-yingyu-202203-202206
xianhua-yingyu-202203-202206 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g xianhua-yingyu-erlingererlingsan-erlingererlingliu
xianhua-yingyu-erlingererlingsan-erlingererlingliu <port>
# 访问 http://localhost:{port} 查看文档
```
xianhua-yingyu-202109-202202 2022.11.1.0
线话英语 2021.9~2022.2
Requires Python: >=3.6

# 线话英语 2021.9~2022.2

## 下载

### Docker

```
docker pull apachecn0/xianhua-yingyu-202109-202202
docker run -tid -p <port>:80 apachecn0/xianhua-yingyu-202109-202202
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install xianhua-yingyu-202109-202202
xianhua-yingyu-202109-202202 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g xianhua-yingyu-erlingeryilingjiu-erlingererlinger
xianhua-yingyu-erlingeryilingjiu-erlingererlinger <port>
# 访问 http://localhost:{port} 查看文档
```
xianhua-yingyu-202105-202108 2022.11.1.0
线话英语 2021.5~2021.8
Requires Python: >=3.6

# 线话英语 2021.5~2021.8

## 下载

### Docker

```
docker pull apachecn0/xianhua-yingyu-202105-202108
docker run -tid -p <port>:80 apachecn0/xianhua-yingyu-202105-202108
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install xianhua-yingyu-202105-202108
xianhua-yingyu-202105-202108 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g xianhua-yingyu-erlingeryilingwu-erlingeryilingba
xianhua-yingyu-erlingeryilingwu-erlingeryilingba <port>
# 访问 http://localhost:{port} 查看文档
```
xianhua-yingyu-202101-202104 2022.11.1.0
线话英语 2021.1~2021.4
Requires Python: >=3.6

# 线话英语 2021.1~2021.4

## 下载

### Docker

```
docker pull apachecn0/xianhua-yingyu-202101-202104
docker run -tid -p <port>:80 apachecn0/xianhua-yingyu-202101-202104
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install xianhua-yingyu-202101-202104
xianhua-yingyu-202101-202104 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g xianhua-yingyu-erlingeryilingyi-erlingeryilingsi
xianhua-yingyu-erlingeryilingyi-erlingeryilingsi <port>
# 访问 http://localhost:{port} 查看文档
```
xianhua-yingyu-202008-202012 2022.11.1.0
线话英语 2020.8~2020.12
Requires Python: >=3.6

# 线话英语 2020.8~2020.12

## 下载

### Docker

```
docker pull apachecn0/xianhua-yingyu-202008-202012
docker run -tid -p <port>:80 apachecn0/xianhua-yingyu-202008-202012
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install xianhua-yingyu-202008-202012
xianhua-yingyu-202008-202012 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g xianhua-yingyu-erlingerlinglingba-erlingerlingyier
xianhua-yingyu-erlingerlinglingba-erlingerlingyier <port>
# 访问 http://localhost:{port} 查看文档
```
daga 0.0.4
This is a library that makes data augmentation based on SDV library using a single objective algorithm to get the distributions of the variables.
Requires Python: >=3.9

# daga

**daga** es un acrónimo de **Data Augmentation with Genetic Algorithm**; este es un módulo de Python para el aumento de datos basado en la librería SDV. Este tiene como objetivo obtener la distribución correspondiente a cada variable y así conseguir mejores resultados en la generación de datos sintéticos. Para ello hace uso de un algortimo genético mono objetivo.

El projecto se empezó en 2022 por [Ane Martínez](https://github.com/anemartinez1, "Ane Martínez") y [Elene Astondoa](https://github.com/eleneastondoa, "Elene Astondoa") como trabajo para la universidad.

## Estructura de carpetas
- src/
  - daga/
    - __ init __.py
    - functions.py
- dist/
  - En esta carpeta se almacenan los archivos de distribución.
- LICENSE
- pyproject.toml
- README.md

## Instalación

### Dependencias

daga requiere:

- python (>=3.9)
- pandas (>=1.5.0)
- opencv-python (>=4.6.0)
- matplotlib (>=3.6.0)
- sdv (>=0.17.1)
- scikit-learn (>=1.1.2)

### Instalación para el usuario
Usando ``pip``:

1. Primero vamos a actualizar pip a la última versión:

  `$ pip install --upgrade pip`
  
2. Una vez actualizado este comando procederemos a instalar la librería ``daga``:

  `$ pip install daga`
  
### Links importantes

- Repositorio del código fuente: <https://github.com/anemartinez1/pypi_library>
- Descargar versiones: <https://pypi.org/project/daga/>
- Seguimiento de problemas: <https://github.com/anemartinez1/pypi_library/issues>