Collection of Beginner to Intermediate level Python scripts contributed by members and participants.

Overview

Hacktoberfest2021-Python

Hello there! This repository contains a 'Collection of Beginner to Intermediate level Python projects', created specially for the Hacktoberfest2021. You are all welcome to contribute in the project.

Python Projects - Target

This repository is to showcase your python skills and projects. You can either contribute by sharing your project or make edits to the existing projects.

What is Hacktoberfest2021 ?

  • A month-long celebration from October 1st - 31st sponsored by Digital Ocean and GitHub to get people involved in Open Source. Create your very first pull request to any public repository on GitHub and contribute to the open source developer community.

https://hacktoberfest.digitalocean.com/

What is this Hacktoberfest2021-Python?

  • This repository is to showcase your python skills and projects. You can either contribute by sharing your project or make edits to the existing projects.

NOTE: More than 1 person can submit same project (Again, see below for details).

How to Contribute ??

Strictly follow the given rules(unless mentioned optional) before sending us a PR.

  1. Fork this Repository(by clicking Fork Icon on top right of the repository), to your profile.
  2. Now, clone this repository to your Local Machine using:
git clone https://github.com/your-username/Hacktoberfest2021-Python.git
  1. Move into your desired Task folder, and create a new repository in format : YOUR-PROJECT-TITLE-YOUR-NAME . First name should be your Unique Project Title followed by your Github handle, which will be separated by ' - '
  2. Now read the Project-Description from README.md file, and add your project code.
  3. Now Commit & Push, using :
git add .
git commit -m "Your Project Title"
git push 
  1. Now before sending a PR, make sure you 'Fetch Upstream' to avoid any kind of conflicts.
  2. Send a PR with your Project Title & Your Github Name. Adding 1 or 2 line project description is mandatory.

Rules & FAQs

  1. Minor modifications will not be counted.
  2. You will be banned immediately after 3 invalid PRs.
  3. Don't just Copy Paste the code from Internet, we will review your code and then only it will be merged.
  4. Modifing existing projects / Solving Issues will also be counted as contribution.

Show some ❤️ by Starring the Repository

Maintained by: Anmol Singh Yadav & Chaitanya Sapre

Wrappers around the most common maya.cmds and maya.api use cases

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Run CodeServer on Google Colab using Inlets in less than 60 secs using your own domain.

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The purpose of this code base is to add a specified signal-to-noise ratio noise from MUSAN dataset to a pure speech signal and to generate far-field speech data using room impulse response data from BUT [email protected] Reverb Database.

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