semvec/pypi-packages huggingface dataset:
dynocli 0.0.6
Command line interface for interacting with a DynamoDB instance
Requires Python: >=3.8

# DynamoDB CLI 

## Introduction
A simple lightweight command line interface for interacting with an Amazon DynamoDB instance. 

Mainly intended to work with a local instance, since current tools often struggles to work with a larger local database, but also works with AWS hosted instances.


## Setup
In order to set up your connection you may use the command
> dynocli set-config

or edit the configuration file directly. The file is located in the user configuration folder  
  - *~/Library/Application Support/dynocli* for Mac OS
  - *~/.local/share/dynocli* for linux

The required configurations are

 - Authentication - Supports three different options
   - local - Connect to local dynamoDB
   - env - Connect to AWS instance using environment values
   - credentials - Connect to AWS instance using .credentials file
 - TableName - Name of the table in the database
 - Port - Port of the instance, only required if Authentication = local
 - Profile - AWS profile to use. Only required if Authentication = credentials
 - Region - AWS region for the instance. Not needed if Authentication = local

## Usage

`dynocli [-h] [--index INDEX] [--pk PK] [--sk SK] {describe,query,get-config,set-config}`

>`positional arguments:`
>>  `{describe,query,get-config,set-config}`

>`optional arguments:`
>>`  -h, --help            show this help message and exit`
>>`  --verbose, -v         increase output verbosity`
>>`  --index INDEX, -i INDEX  apecify name of index to use. Omit "pk"` 
>>`  --pk PK               partition key value of the index to query`
>> ` --sk SK              sort key value. Defaults to --pk`
electron-zhongwen-shouce 2023.2.10.0
Electron 中文手册
Requires Python: >=3.6

# Electron 中文手册

## 下载

### Docker

```
docker pull apachecn0/electron-zhongwen-shouce
docker run -tid -p <port>:80 apachecn0/electron-zhongwen-shouce
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install electron-zhongwen-shouce
electron-zhongwen-shouce <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g electron-zhongwen-shouce
electron-zhongwen-shouce <port>
# 访问 http://localhost:{port} 查看文档
```
apachecn-ml-zh-pt2 2023.2.10.0
ApacheCN 机器学习译文集（二）
Requires Python: >=3.6

# ApacheCN 机器学习译文集（二）

> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
> 
> 敢同恶鬼争高下，不向霸王让寸分。——《七律·庆祝第二次核试验成功》

* [在线阅读](https://ml2.apachecn.org)
* [在线阅读（Gitee）](https://apachecn.gitee.io/doc-template/)
* [ApacheCN 学习资源](http://docs.apachecn.org/)

## 贡献指南

为了不断改进翻译质量，我们特此启动了【翻译、校对、笔记整理活动】，开设了多个校对项目。贡献者校对一章之后可以领取千字2\~4元的奖励。进行中的校对活动请见[活动列表](https://home.apachecn.org/#/docs/activity/docs-activity)。更多详情请联系飞龙（Q562826179，V:wizardforcel）。

## 联系方式

### 负责人

* [飞龙](https://github.com/wizardforcel): 562826179

### 其他

*   在我们的 [apachecn/apachecn-ml-zh-pt2](https://github.com/apachecn/apachecn-ml-zh-pt2) github 上提 issue.
*   发邮件到 Email: `apachecn@163.com`.
*   在我们的 [组织学习交流群](https://www.apachecn.org/#/docs/join) 中联系群主/管理员即可.

## 下载

### Docker

```
docker pull apachecn0/apachecn-ml-zh-pt2
docker run -tid -p <port>:80 apachecn0/apachecn-ml-zh-pt2
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install apachecn-ml-zh-pt2
apachecn-ml-zh-pt2 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g apachecn-ml-zh-pt2
apachecn-ml-zh-pt2 <port>
# 访问 http://localhost:{port} 查看文档
```

## 其它协议

霞鹜文楷采用 [SIL 开放字体协议 1.1](https://github.com/lxgw/LxgwWenKai/blob/main/SIL_Open_Font_License_1.1.txt)。

## 赞助我们

![](http://data.apachecn.org/img/about/donate.jpg)
elasticsearch-yuanma-jiexi-hlee 2023.2.10.0
Elasticsearch 源码解析（HLee）
Requires Python: >=3.6

# Elasticsearch 源码解析（HLee）

## 下载

### Docker

```
docker pull apachecn0/elasticsearch-yuanma-jiexi-hlee
docker run -tid -p <port>:80 apachecn0/elasticsearch-yuanma-jiexi-hlee
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install elasticsearch-yuanma-jiexi-hlee
elasticsearch-yuanma-jiexi-hlee <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g elasticsearch-yuanma-jiexi-hlee
elasticsearch-yuanma-jiexi-hlee <port>
# 访问 http://localhost:{port} 查看文档
```