semvec/pypi-packages huggingface dataset:
neo4py-atharnaveed 1.0.2b0
Neo4py is a better alternative to py2neo.
Requires Python: >=3.8

## Neo4py

## Introduction
Neo4py is an alternative to __py2neo__. I am trying my best to make it a perfect and better clone of the py2neo package.

### How to run a query in neo4py
As it is a clone of py2neo so, I have added the similar functions like of py2neo so, that the users won't have the problem in migrating from py2neo to neo4py. 

These are the steps you can use to execute a query in neo4py:
1. Import the `Graph` class from the `neo4py`.

<br>

```
from neo4py-atharnaveed import Graph
```

<br>


2. Create a `graph` object and pass your __URI__, and __connection details__ to the `Graph` constructor.

<br>

```
graph = Graph("connection_uri",("user","db_password"))
```
<br>

```
# Example code
graph = Graph("bolt://localhost:7687",("neo4j","12345678"))
```

<br>

You can find your connection uri and user details, when you'll start your database and open __neo4j browser__. 
__Password__ is the password that you have set while creating the database.

<br>


3. Now make a __python dictionary__, pass the data to it, and run and write the query by using built-in __run method__.

<br>

```
data = {
    "name" : "John Doe",
    "age": 21
}
node = graph.run("CREATE (p:Person {name:$name,age:$age})", **data)

```


### Final Words
For any issues, please open an issue.
I am open for suggesstions, contributions, and collaborations.😊
kernel-install 2404.0.1
Utility to install various jupyter kernel specs.
Requires Python: >=3.8

# Install Kernel Specifications into userspace

[![Pipeline](https://github.com/FREVA-CLINT/install-kernelspec/actions/workflows/ci_job.yml/badge.svg)](https://github.com/FREVA-CLINT/install-kernelspec/actions)
[![codecov](https://codecov.io/gh/FREVA-CLINT/install-kernelspec/graph/badge.svg?token=90RyY5I9AI)](https://codecov.io/gh/FREVA-CLINT/install-kernelspec)
[![BSD](https://anaconda.org/conda-forge/freva/badges/license.svg)](https://github.com/FREVA-CLINT/install-kernelspec/LICENSE)

This code installs jupyter kernels for different languages into the user space.
Once the kernel has been installed it can be used on the [jupyter-hub server](https://jupyterhub.dkrz.de/)
of DKRZ.

## Installation
```python
python3 -m pip install kernel-install
```

## Usage

### Using the command line interface (cli):

```console
jupyter-kernel-install --help
```

```bash
Usage: jupyter-kernel-install [-h] [--name NAME] [--display-name DISPLAY_NAME] [--version] language

Install jupyter kernel specs of different languages.

Positional Arguments:
  language              The programming language

Options:
  -h, --help            show this help message and exit
  --name, -n NAME       The name of the kernel (default: None)
  --display-name, -d DISPLAY_NAME
                        The display name of the kernel (default: None)
  --version, -V         Display version and exit
```

The following kernel specifications are supported:
- python3
- gnuR
- bash

Example for installing a gnuR kernel:

```console
kernel-install r --name r-regiklim --display-name "R for Regiklim"
```

### Using the python library

Example for programmatically installing a bash kernel:

```python
import kernel_install as ki
kernel_path = ki.bash(name="bash-regiklim", display_name="bash kernel")
```

## Contributing
Any contributions are welcome. To start developing we recommend creating a new
[mini conda environment](https://docs.conda.io/projects/conda/en/latest/index.html).

```console
conda env create -f environment.yml; conda activate install-kernelspec
```
Unit tests, building the documentation, type annotations and code style tests
are done with [tox](https://tox.wiki/en/latest/). To run all tests, linting
in parallel simply execute the following command:

```console
tox -p 3
```
You can also run the each part alone, for example to only check the code style:

```console
tox -e lint
```
available options are ``lint``, ``types`` and ``test``.

Tox runs in a separate python environment to run the tests in the current
environment use:

```console
pytest
```