https://github.com/londheshubham153/code-20201202-shubhamlondhe
https://github.com/londheshubham153/code-20201202-shubhamlondhe
Last synced: 9 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/londheshubham153/code-20201202-shubhamlondhe
- Owner: LondheShubham153
- Created: 2020-12-02T03:11:22.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-12-02T04:39:12.000Z (over 4 years ago)
- Last Synced: 2025-04-01T19:19:09.773Z (30 days ago)
- Language: Python
- Size: 236 KB
- Stars: 7
- Watchers: 2
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[![MIT License][license-shield]][license-url]
[![LinkedIn][linkedin-shield]][linkedin-url]
CodeChallenge
An awesome challenge which allowed me to understand pandas and aiohttp!
View Demo
·
Report Bug
·
Request Feature
## Table of Contents
* [About the Project](#about-the-project)
* [Built With](#built-with)
* [Getting Started](#getting-started)
* [Prerequisites](#prerequisites)
* [Installation](#installation)
* [Usage](#usage)
* [Roadmap](#roadmap)
* [Contributing](#contributing)
* [License](#license)
* [Contact](#contact)
## About The Project
There are many great functional APIs available on GitHub, however, I didn't copy from them, I created CodeChallenge which made me understand a few concepts of Python.
Here's why you should love this assignment:
* I am fluent in Django, Flask and python-cli applications, learning Aiohttp added a new feather to my cap of Python frameworks.
* Getting to know about async await was fun and insightful, this is the very first implementation of of the same.
* You will find good code quality and code standards which can be used to demonstrate to beginners, if not no issues as we are in an agile world. Learning continously:)
A list of commonly used resources that I find helpful are listed in the acknowledgements.
### Built With
This application is built with love, dedication, coffee and:
* [aiohttp](https://pypi.org/project/aiohttp/)
* [pandas](https://pandas.pydata.org/)
## Getting Started
To get a local copy up and running follow these simple example steps.
### Prerequisites
* python
```sh
python --version
```
### Installation
1. Clone the repo
```sh
git clone https://github.com/LondheShubham153/code-20201202-shubhamlondhe.git
```
3. Install python packages
```sh
pip install -r requirements.txt
```
4. Test the application
```python
pytest
```
5. Run the application
```python
python app.py
```
## Usage
_For more examples, please refer to the [Documentation](https://github.com/LondheShubham153/code-20201202-shubhamlondhe)_
## Roadmap
See the [open issues](https://github.com/LondheShubham153/code-20201202-shubhamlondhe/issues) for a list of proposed features (and known issues).
## Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
## License
Distributed under the MIT License. See `LICENSE` for more information.
## Contact
Shubham Londhe - [@shubhamlondhe96](https://instagram.com/shubhamlondhe96) - My Instagram
Shubham Londhe - [shubhamlondhe1996](https://www.linkedin.com/in/shubhamlondhe1996/) - My LinkedIn
Project Link: [https://github.com/LondheShubham153/code-20201202-shubhamlondhe](https://github.com/LondheShubham153/code-20201202-shubhamlondhe)
[license-shield]: https://img.shields.io/github/license/othneildrew/Best-README-Template.svg?style=flat-square
[license-url]: https://github.com/othneildrew/Best-README-Template/blob/master/LICENSE.txt
[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=flat-square&logo=linkedin&colorB=555
[linkedin-url]: https://www.linkedin.com/in/shubhamlondhe1996/
[product-screenshot]: images/search.png