semvec/pypi-packages huggingface dataset:
eanalytics-api-py 0.1.51
Locally download a datamining dataset from the Eulerian Technologies API
Requires Python: >=3.6
Keywords: eulerian, datamining, download, dw, data warehouse, eanalytics, jupyter, notebook, data science

# eanalytics_api_py

A python 3 module to retrieve data from Eulerian Technologies API

## Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

## Prerequisites

Having a python 3 environment

## Installing

```
pip3 install eanalytics_api_py
```

## Upgrading

```
pip3 install eanalytics_api_py --upgrade
```

## Running

See [sample notebooks](notebooks)

- [Eulerian datamining api doc](https://doc.api.eulerian.com/#tag/Datamining:-sales%2Fpaths%2F~1ea~1%7Bsite%7D~1report~1order~1download.json%2Fget) to customize your payload object: 
- [Eulerian Datawarehouse api doc](https://doc.api.eulerian.com/#section/EDW)

## Notes
- The file downloaded is gzipped
- Explore your data using jupyter-notebook along with pandas and seaborn for plug'n'play data cleaning/visualisation
- Samples jupyter notebooks featuring different use-cases will be uploaded in the near future
- A docker image containing jupyter and our librairy is available [here](https://hub.docker.com/repository/docker/soloan/eanalytics-jupyter/general)

## Author

* **Florian Dauphin** - https://github.com/Afilnor
iflow-mcp_paperpal 0.1.0
Paperpal is a tool that helps you write literature reviews for machine learning papers.
Requires Python: >=3.11

🚨 Development has moved to https://github.com/milatechtransfer/paperpal

# paperpal

MCP Extension to aid you in searching and writing literature reviews

> Check out this [conversation with Claude](https://claude.ai/share/0572fbd9-3ba2-4143-9f7f-5cae205c6d0d) to see what it can do

## How it works

`paperpal` gives your LLMs access to [arxiv](https://www.arxiv.org) and [Hugging Face papers](https://huggingface.co/papers).
You can then have a natural conversation with your favourite LLMs (e.g. Claude) and have it guide you.

You can:

* Discuss papers
* Look for new papers
* Organize ideas for liteature reviews
* etc.

Of course, this tool is as good as the sum of its parts. LLMs can still hallucinate, and semantic search is never perfect.

## Quickstart

There are many different ways with which you can interact with an MCP server.

### Claude Desktop App

> If this is your first time using an MCP server for Claude Desktop App, see https://modelcontextprotocol.io/quickstart/user

First, clone this repository locally:

    git clone https://github.com/jerpint/paperpal

Next, add the extension to your app. Open your configuration file (on macOS this should be `~/Library/Application Support/Claude/claude_desktop_config.json`) and and add the following to the extension:

For example on MacOS:

```python
{
  "mcpServers": {
    "paperpal": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/<username>/paperpal",
        "run",
        "paperpal.py"
      ]
    }
  }
}
```

Restart your Claude Desktop App and you should see it appear.


### Cursor

> If this is your first time using an MCP server for Cursor, see https://docs.cursor.com/context/model-context-protocol#remote-development

First, clone this repository locally:

    git clone https://github.com/jerpint/paperpal


Add this to the root of the project in a `.cursor/mcp.json` file:

```
{
  "mcpServers": {
    "paperpal": {
      "command": "/Users/jeremypinto/.cargo/bin/uv",
      "args": [
        "--directory",
        "/Users/jeremypinto/paperpal",
        "run",
        "paperpal.py"
      ]
    }
  }
}
```
obuhovouz 0.1.0
Obhavo.uz shahar ob-havo ma'lumotlarini olish kutubxonasi
Requires Python: >=3.8

# 🌤 Obuhovouz

Obuhovouz --- bu Python kutubxonasi va CLI vositasi bo'lib,
[Obhavo.uz](https://obhavo.uz) saytidan shahar ob-havo ma'lumotlarini
olish imkonini beradi.

Kutubxona JSON va matn formatida natija beradi va shahar, sana, havo,
harorat, namlik, shamol, bosim, oy va quyosh chiqishi/botishi kabi
barcha kerakli ma'lumotlarni o'z ichiga oladi.

------------------------------------------------------------------------

## 🚀 Xususiyatlari

-   Python 3.8+ bilan mos
-   Oddiy va tez ishlaydi
-   JSON va matn formatida natija
-   CLI orqali ham ishlatish mumkin
-   Mukammal xatolik tekshiruvi
-   MIT litsenziya bilan tarqatiladi

------------------------------------------------------------------------

## 📦 O'rnatish

pip install weather-uz
------------------------------------------------------------------------

## 🐍 Python orqali ishlatish

from obuhovouz import obuhovouz

# Shahar nomini kiriting
w = obuhovouz("toshkent")

# Sahifani olish
html = w.fetch()

# HTMLni tahlil qilish
w.parse(html)

# Oddiy matn formatida
print(w.get_text())

# JSON formatida
print(w.get_json())
------------------------------------------------------------------------

## ✅ Matn natijasi

    Shahar: Toshkent
    Sana: 5 Noyabr, 2025
    Havo: Bulutli
    Harorat: 18°C - 10°C
    Namlik: 65%
    Shamol: 12 km/h
    Bosim: 760 mmHg
    Oy: To‘liq
    Quyosh chiqishi: 06:20
    Quyosh botishi: 17:10
    Tong: 12°C
    Kun: 18°C
    Oqshom: 14°C

------------------------------------------------------------------------

## ✅ JSON natijasi

{
    "success": true,
    "data": {
        "bugun": {
            "shahar": "Toshkent",
            "sana": "5 Noyabr, 2025",
            "havo": "Bulutli",
            "harorat": "18°C - 10°C",
            "namlik": "65%",
            "shamol": "12 km/h",
            "bosim": "760 mmHg"
        },
        "vaqt": {
            "oy": "To‘liq",
            "quyosh_chiqishi": "06:20",
            "quyosh_botishi": "17:10"
        },
        "harorat": {
            "tong": "12°C",
            "kun": "18°C",
            "oqshom": "14°C"
        }
    }
}
------------------------------------------------------------------------

## 💻 CLI orqali ishlatish

Matn ko'rinishida:

obuhovouz toshkent
JSON ko'rinishida:

obuhovouz toshkent --json
Agar shahar mavjud bo'lmasa:

{
    "success": false,
    "error_message": "Ma'lumotlar to'liq emas yoki mavjud emas!"
}
------------------------------------------------------------------------

## 📄 Litsenziya

MIT License © 2025 RaKUZEN_UZ

------------------------------------------------------------------------

## 📌 Aloqa

Telegram: @RaKUZEN_UZ\
Email: RaKUZENUZ@gmail.com

------------------------------------------------------------------------

Obuhovouz bilan ob-havoni kuzatish endi oson va qulay! 🌤