semvec/pypi-packages huggingface dataset:
spring-framework-5-zhongwen-wendang 2024.3.4.0
Spring Framework 5 中文文档
Requires Python: >=3.6

# Spring Framework 5 中文文档

## 下载

### Docker

```
docker pull apachecn0/spring-framework-5-zhongwen-wendang
docker run -tid -p <port>:80 apachecn0/spring-framework-5-zhongwen-wendang
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install spring-framework-5-zhongwen-wendang
spring-framework-5-zhongwen-wendang <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g spring-framework-5-zhongwen-wendang
spring-framework-5-zhongwen-wendang <port>
# 访问 http://localhost:{port} 查看文档
```
spring-data-zhongwen-banben 2024.3.4.0
Spring Data 中文版本
Requires Python: >=3.6

# Spring Data 中文版本

## 下载

### Docker

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

### PYPI

```
pip install spring-data-zhongwen-banben
spring-data-zhongwen-banben <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g spring-data-zhongwen-banben
spring-data-zhongwen-banben <port>
# 访问 http://localhost:{port} 查看文档
```
jdbase-client 1.0.1
jdbase-client is a ORM for JDBase

# jdbase

jdbase-client is a ORM for JDBase

## Table of Contents

- [Introduction](#introduction)
- [Installation](#installation)
- [Usage](#usage)


## Introduction

`jdbase-client` is a Python library designed to provide a convenient interface for interacting with JDBase remote database via an HTTP API. It simplifies common database operations such as creating, reading, updating, and deleting records, as well as performing custom queries. This library assumes that a compatible server is running and accessible at the provided API endpoin
## Installation

To install jdbase-client, simply use pip:

```bash
pip install jdbase-client
```

## Usage

```python
from jdbase_client import Database

# Configuration settings
config = {
    'api_key': 'adminkey',
    'api_endpoint': 'http://127.0.0.1:5000/api',
    'db': 'db2'
}

# Instantiate the Database object
db = Database(config)

# Example usage: Matching records
matching_records = db.match({"id": 2, "age": 30})
print(matching_records)
```

For More Read Docs [HERE](https://rakibmia7254.github.io/jdbase-client/)

## License

This project is licensed under the MIT License - see the LICENSE file for details.
spring-batch-cankao-wendang-zhongwenban 2024.3.4.0
Spring Batch 参考文档中文版
Requires Python: >=3.6

# Spring Batch 参考文档中文版

## 下载

### Docker

```
docker pull apachecn0/spring-batch-cankao-wendang-zhongwenban
docker run -tid -p <port>:80 apachecn0/spring-batch-cankao-wendang-zhongwenban
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install spring-batch-cankao-wendang-zhongwenban
spring-batch-cankao-wendang-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g spring-batch-cankao-wendang-zhongwenban
spring-batch-cankao-wendang-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```
spark-jiqi-xuexi-suanfa-yanjiu-he-yuanma-fenxi 2024.3.4.0
spark机器学习算法研究和源码分析
Requires Python: >=3.6

# spark机器学习算法研究和源码分析

## 下载

### Docker

```
docker pull apachecn0/spark-jiqi-xuexi-suanfa-yanjiu-he-yuanma-fenxi
docker run -tid -p <port>:80 apachecn0/spark-jiqi-xuexi-suanfa-yanjiu-he-yuanma-fenxi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install spark-jiqi-xuexi-suanfa-yanjiu-he-yuanma-fenxi
spark-jiqi-xuexi-suanfa-yanjiu-he-yuanma-fenxi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g spark-jiqi-xuexi-suanfa-yanjiu-he-yuanma-fenxi
spark-jiqi-xuexi-suanfa-yanjiu-he-yuanma-fenxi <port>
# 访问 http://localhost:{port} 查看文档
```
sitanfu-cs224d-shendu-xuexi-yu-ziranyuyan-chuli-jiangyi-fix1 2024.3.4.0
斯坦福 cs224d 深度学习与自然语言处理讲义 fix1
Requires Python: >=3.6

# 斯坦福 cs224d 深度学习与自然语言处理讲义 fix1

## 下载

### Docker

```
docker pull apachecn0/sitanfu-cs224d-shendu-xuexi-yu-ziranyuyan-chuli-jiangyi-fix1
docker run -tid -p <port>:80 apachecn0/sitanfu-cs224d-shendu-xuexi-yu-ziranyuyan-chuli-jiangyi-fix1
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install sitanfu-cs224d-shendu-xuexi-yu-ziranyuyan-chuli-jiangyi-fix1
sitanfu-cs224d-shendu-xuexi-yu-ziranyuyan-chuli-jiangyi-fix1 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g sitanfu-cserersid-shendu-xuexi-yu-ziranyuyan-chuli-jiangyi-fix1
sitanfu-cserersid-shendu-xuexi-yu-ziranyuyan-chuli-jiangyi-fix1 <port>
# 访问 http://localhost:{port} 查看文档
```
react-xuexi-zhidao 2024.3.4.0
React 学习之道
Requires Python: >=3.6

# React 学习之道

## 下载

### Docker

```
docker pull apachecn0/react-xuexi-zhidao
docker run -tid -p <port>:80 apachecn0/react-xuexi-zhidao
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install react-xuexi-zhidao
react-xuexi-zhidao <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g react-xuexi-zhidao
react-xuexi-zhidao <port>
# 访问 http://localhost:{port} 查看文档
```
rangle-s-angular-2-training-book-zhongwenban 2024.3.4.0
Rangle's Angular 2 Training Book 中文版
Requires Python: >=3.6

# Rangle's Angular 2 Training Book 中文版

## 下载

### Docker

```
docker pull apachecn0/rangle-s-angular-2-training-book-zhongwenban
docker run -tid -p <port>:80 apachecn0/rangle-s-angular-2-training-book-zhongwenban
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install rangle-s-angular-2-training-book-zhongwenban
rangle-s-angular-2-training-book-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g rangle-s-angular-2-training-book-zhongwenban
rangle-s-angular-2-training-book-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```
rancher-shizhan-hongbaoshu 2024.3.4.0
Rancher 实战红宝书
Requires Python: >=3.6

# Rancher 实战红宝书

## 下载

### Docker

```
docker pull apachecn0/rancher-shizhan-hongbaoshu
docker run -tid -p <port>:80 apachecn0/rancher-shizhan-hongbaoshu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install rancher-shizhan-hongbaoshu
rancher-shizhan-hongbaoshu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g rancher-shizhan-hongbaoshu
rancher-shizhan-hongbaoshu <port>
# 访问 http://localhost:{port} 查看文档
```
r-yuyan-gaoji-chengxusheji-advanced-r-zhongwenban 2024.3.4.0
R语言高级程序设计 --《Advanced R》中文版
Requires Python: >=3.6

# R语言高级程序设计 --《Advanced R》中文版

## 下载

### Docker

```
docker pull apachecn0/r-yuyan-gaoji-chengxusheji-advanced-r-zhongwenban
docker run -tid -p <port>:80 apachecn0/r-yuyan-gaoji-chengxusheji-advanced-r-zhongwenban
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install r-yuyan-gaoji-chengxusheji-advanced-r-zhongwenban
r-yuyan-gaoji-chengxusheji-advanced-r-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g r-yuyan-gaoji-chengxusheji-advanced-r-zhongwenban
r-yuyan-gaoji-chengxusheji-advanced-r-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```
r-packages 2024.3.4.0
R packages
Requires Python: >=3.6

# R packages

## 下载

### Docker

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

### PYPI

```
pip install r-packages
r-packages <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g r-packages
r-packages <port>
# 访问 http://localhost:{port} 查看文档
```
hnconnector 0.1.2
An unofficial Hacker News API Client Library in Python

# hnconnector: An unofficial Hacker News API Client Library in Python

**hnconnector** is a lightweight Python library designed to simplify accessing the Hacker News API. With **hnconnector**, you can easily fetch stories, comments, user profiles, and other data from Hacker News with minimal setup. Whether you're building a custom Hacker News reader, analyzing Hacker News stories, or integrating Hacker News data into your projects, hnconnector provides a straightforward Pythonic interface to interact with Hacker News.

## Features
* Fetch top, new, and best stories from Hacker News
* Retrieve details about specific stories, comments, and users
* Access Ask HN, Show HN, and job stories
* Simple and intuitive API

## Installation
**hnconnector** can be installed using pip. Ensure you have Python 3.6 or higher installed on your system. To install **hnconnector**, open your terminal and run:

```bash
pip install hnconnector
```
## Quick Start
Here's a quick example to get you started by fetching the top stories from Hacker News:

```python
from hn import Client

client = Client()

# Fetch top stories
top_stories = client.get_topstories()

print("Top 10 Hacker News Stories IDs:")
for story_id in top_stories[:10]:
    print(story_id)

# Fetch details for a specific story
story_details = client.get_item(top_stories[0])
print(f"Details of the top story: {story_details}")
```
## Usage
### Initializing the Client
Create an instance of the **Client** class to start interacting with the API:

```python
from hn import Client

client = Client()
```
### Fetching Stories
You can fetch different types of stories (top, new, best, ask HN, show HN, and jobs) as follows:

```python
top_stories = client.get_topstories()
new_stories = client.get_newstories()
best_stories = client.get_beststories()
ask_stories = client.get_askstories()
show_stories = client.get_showhn()
job_stories = client.get_jobstories()()
```

### Retrieving an Item
To retrieve details about a specific item (story, comment, etc.), use its ID:

```python
item_id = 16582136
item_details = client.get_item(item_id)
print(item_details)
```

### Fetching User Profiles

```python
username = 'dang'
user_details = client.get_user(username)
print(user_details['karma'])
```

### Contributing
Contributions to **hnconnector** are welcome! 

### License
**hnconnector** is released under the MIT License. See the LICENSE file for more details.

### Contact
For questions or feedback regarding **hnconnector**, please open an issue on the GitHub repository: https://github.com/mfiro/hnconnector.
r-for-beginners-zhongwenban 2024.3.4.0
R for Beginners 中文版
Requires Python: >=3.6

# R for Beginners 中文版 

## 下载

### Docker

```
docker pull apachecn0/r-for-beginners-zhongwenban
docker run -tid -p <port>:80 apachecn0/r-for-beginners-zhongwenban
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install r-for-beginners-zhongwenban
r-for-beginners-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g r-for-beginners-zhongwenban
r-for-beginners-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```
qianyi-xuexi-shouce-1-0 2024.3.4.0
迁移学习手册 1.0
Requires Python: >=3.6

# 迁移学习手册 1.0

## 下载

### Docker

```
docker pull apachecn0/qianyi-xuexi-shouce-1-0
docker run -tid -p <port>:80 apachecn0/qianyi-xuexi-shouce-1-0
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install qianyi-xuexi-shouce-1-0
qianyi-xuexi-shouce-1-0 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g qianyi-xuexi-shouce-1-0
qianyi-xuexi-shouce-1-0 <port>
# 访问 http://localhost:{port} 查看文档
```
qianyi-dao-yun-yuansheng-yingyong-jiagou 2024.3.4.0
迁移到云原生应用架构
Requires Python: >=3.6

# 迁移到云原生应用架构

## 下载

### Docker

```
docker pull apachecn0/qianyi-dao-yun-yuansheng-yingyong-jiagou
docker run -tid -p <port>:80 apachecn0/qianyi-dao-yun-yuansheng-yingyong-jiagou
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install qianyi-dao-yun-yuansheng-yingyong-jiagou
qianyi-dao-yun-yuansheng-yingyong-jiagou <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g qianyi-dao-yun-yuansheng-yingyong-jiagou
qianyi-dao-yun-yuansheng-yingyong-jiagou <port>
# 访问 http://localhost:{port} 查看文档
```
scrapelo 0.0.5
Package for scraping data from clubelo.com
Keywords: python,football,ELO,clubelo,scraping,data

# Scrapelo

This simple package provides functions for obtaining ELO scores for clubs available on [clubelo.com](http://clubelo.com/). <br>
If You wonder how does the ELO system work, You can read about it [here](http://clubelo.com/System).

## Features

### Get the current ELO scores of clubs for a given competition.
```
import scrapelo
scrapelo.get_competition_elo('Champions League')
```
![](https://raw.githubusercontent.com/AKapich/Scrapelo/main/ucl_table.png?token=GHSAT0AAAAAACONR7OMWQNWGEJBZBMLMR5GZPETJXA)

The same effect can be achieved by using the competition code instead of the competition name. You can find out the full list of codes [here](https://github.com/AKapich/Scrapelo/blob/main/country_codes.py). 
```
import scrapelo
scrapelo.get_competition_elo('UCL')
```

For the country competitions the argument ought to be the country's name in English or the country's code. 
```
import scrapelo
# two lines below will give You the same output
scrapelo.get_competition_elo('Spain')
scrapelo.get_competition_elo('ESP')
```
<br>

### Get the current ELO of a single club.
```
import scrapelo
# Function takes only club name as an argument 
scrapelo.get_club_elo('Barcelona')
```

## Legal Scraping

The data is scraped legally, as the [robots.txt](http://clubelo.com/robots.txt) file on the website allows for it.
pytorch-zero-to-all 2024.3.4.0
PyTorch Zero To All
Requires Python: >=3.6

# PyTorch Zero To All

## 下载

### Docker

```
docker pull apachecn0/pytorch-zero-to-all
docker run -tid -p <port>:80 apachecn0/pytorch-zero-to-all
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install pytorch-zero-to-all
pytorch-zero-to-all <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g pytorch-zero-to-all
pytorch-zero-to-all <port>
# 访问 http://localhost:{port} 查看文档
```
python-zhongwen-wendang-3-7-rumenjiaocheng 2024.3.4.0
Python 中文文档 3.7：入门教程
Requires Python: >=3.6

# Python 中文文档 3.7：入门教程

## 下载

### Docker

```
docker pull apachecn0/python-zhongwen-wendang-3-7-rumenjiaocheng
docker run -tid -p <port>:80 apachecn0/python-zhongwen-wendang-3-7-rumenjiaocheng
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install python-zhongwen-wendang-3-7-rumenjiaocheng
python-zhongwen-wendang-3-7-rumenjiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g python-zhongwen-wendang-3-7-rumenjiaocheng
python-zhongwen-wendang-3-7-rumenjiaocheng <port>
# 访问 http://localhost:{port} 查看文档
```
mitta-mistralai 0.1.3
Fork of MistralAI client library with httpx allowed to be 0.27.0+. Will track with official Mistral release until this is addressed in the main package.
Requires Python: >=3.9,<4.0

# Mistral Python Client

This client is inspired from [cohere-python](https://github.com/cohere-ai/cohere-python)

You can use the Mistral Python client to interact with the Mistral AI API.

## Installing

```bash
pip install mistralai
```

### From Source

This client uses `poetry` as a dependency and virtual environment manager.

You can install poetry with

```bash
pip install poetry
```

`poetry` will set up a virtual environment and install dependencies with the following command:

```bash
poetry install
```

## Run examples

You can run the examples in the `examples/` directory using `poetry run` or by entering the virtual environment using `poetry shell`.

### API Key Setup

Running the examples requires a Mistral AI API key.

1. Get your own Mistral API Key: <https://docs.mistral.ai/#api-access>
2. Set your Mistral API Key as an environment variable. You only need to do this once.

```bash
# set Mistral API Key (using zsh for example)
$ echo 'export MISTRAL_API_KEY=[your_key_here]' >> ~/.zshenv

# reload the environment (or just quit and open a new terminal)
$ source ~/.zshenv
```

### Using poetry run

```bash
cd examples
poetry run python chat_no_streaming.py
```

### Using poetry shell

```bash
poetry shell
cd examples

>> python chat_no_streaming.py
```
jdbabe-client 1.0.0
jdbase-client is a ORM for JDBase

# jdbase

jdbase-client is a ORM for JDBase

## Table of Contents

- [Introduction](#introduction)
- [Installation](#installation)
- [Usage](#usage)


## Introduction

`jdbase-client` is a Python library designed to provide a convenient interface for interacting with JDBase remote database via an HTTP API. It simplifies common database operations such as creating, reading, updating, and deleting records, as well as performing custom queries. This library assumes that a compatible server is running and accessible at the provided API endpoin
## Installation

To install jdbase-client, simply use pip:

```bash
pip install jdbase-client
```

## Usage

```python
from jdbase_client import Database

# Configuration settings
config = {
    'api_key': 'adminkey',
    'api_endpoint': 'http://127.0.0.1:5000/api',
    'db': 'db2'
}

# Instantiate the Database object
db = Database(config)

# Example usage: Matching records
matching_records = db.match({"id": 2, "age": 30})
print(matching_records)
```

For More Read Docs [HERE](https://rakibmia7254.github.io/jdbase-client/)

## License

This project is licensed under the MIT License - see the LICENSE file for details.