semvec/pypi-packages huggingface dataset:
sparsegraph 0.1.0
A graph library built on top of SciPy sparse matrices.
Requires Python: >=3.10

# SparseGraph

![example workflow](https://github.com/gusberinger/sparsegraph/actions/workflows/pytest.yaml/badge.svg)
[![codecov](https://codecov.io/gh/gusberinger/sparsegraph/graph/badge.svg)](https://codecov.io/gh/gusberinger/sparsegraph)

A library for graph operations built on top of [SciPy](https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.array.html) sparse matrices. Designed for small world graphs with millions of nodes and edges.

Inspired by [NetworkX](https://networkx.org/).

Read the [Docs](https://sparsegraph.com).
area-calculator-dci-mkskh 0.0.3
Calculate areas of geometrical figures
Requires Python: >=3.6


### :heavy_plus_sign: Task 2 - creating package on PyPI

Your task is to create your own Python package and publish it on PyPI.  
Read and analyze following steps of publishing package.  
>Think about the job that your package could do!  

Prepare your package in a similar way.  
Make modifications, create newer versions of your package to gain more experience :smiley:


#### **1. Write your Python module and save it under a directory**

#### **2. Create the `setup.py` file with necessary information**

#### **3. Choose a LICENSE and provide a README file for your project**

#### **4. Generate the distribution archives on local machine**

#### **5. Try installing the package on your local machine**

#### **6. Publish the package to the TestPyPi repository to check if all works well**

#### **7. Finally, publish the package to the PyPi repository**