Find the Heart simple Python Game

Overview

Find_the_Heart_simple_Python_Game

This is a simple Python game for finding a heart emoji ( ๐Ÿ’– ). There is a 3 x 3 matrix in which a heart emoji resides. The location of the heart is randomized and is not revealed. The matrix is originally veiled by blue squares ( ๐ŸŸฆ ) and infested with aliens ( ๐Ÿ‘พ ). The player must guess the location of the heart inside this matrix by typing in coordinates of row and column. For example, if the player suspects that the heart is located in the second row and second column, the player must type in "22" (for 2nd row and 2nd column, respectively).

In each game, the player has only 3 chances to guess the location of the heart. These 3 chances are represented by 3 drops of blood ( ๐Ÿฉธ ๐Ÿฉธ ๐Ÿฉธ ). Each time the player guesses wrong, he/she loses 1 drop of blood. When the player used up all the bloods, the game is over and the computer will asks if the player wants to play another game.

On the other hand, the game is also over when the player guesses the right location of the heart. The computer will also asks if the player wants to play again or not.

Once the player chooses not to play anymore, the computer will give a summary message of how many games the player has played, and how many times he/she has won or lost, in a grammatically correct way.

Credit: This program (game) was inspired by Angela Yu's "100 Days of Code: The Complete Python Pro Bootcamp" course on Udemy. You can go to the course's page by clicking the following link (not a ref. link): https://www.udemy.com/course/100-days-of-code/

Owner
p.katekomol
Hello! I'm a material science research veteran, an educator, a bit of an entrepreneur, and a friendly Google-certified data analyst ๐Ÿ˜Š
p.katekomol
Learning Logic Rules for Document-Level Relation Extraction

LogiRE Learning Logic Rules for Document-Level Relation Extraction We propose to introduce logic rules to tackle the challenges of doc-level RE. Equip

41 Dec 26, 2022
Original code for "Zero-Shot Domain Adaptation with a Physics Prior"

Zero-Shot Domain Adaptation with a Physics Prior [arXiv] [sup. material] - ICCV 2021 Oral paper, by Attila Lengyel, Sourav Garg, Michael Milford and J

Attila Lengyel 40 Dec 21, 2022
๐Ÿ– Keras Implementation of Painting outside the box

Keras implementation of Image OutPainting This is an implementation of Painting Outside the Box: Image Outpainting paper from Standford University. So

Bendang 1.1k Dec 10, 2022
PyTorch implementation of Convolutional Neural Fabrics http://arxiv.org/abs/1606.02492

PyTorch implementation of Convolutional Neural Fabrics arxiv:1606.02492 There are some minor differences: The raw image is first convolved, to obtain

Anuvabh Dutt 25 Dec 22, 2021
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation [arxiv] This is the official repository for CDTrans: Cross-domain Transformer for

238 Dec 22, 2022
Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

GraphMask This repository contains an implementation of GraphMask, the interpretability technique for graph neural networks presented in our ICLR 2021

Michael Schlichtkrull 29 Sep 02, 2022
Code for "FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation".

FPS-Net Code for "FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation", accepted by ISPRS journal of Photogrammetry

15 Nov 30, 2022
A knowledge base construction engine for richly formatted data

Fonduer is a Python package and framework for building knowledge base construction (KBC) applications from richly formatted data. Note that Fonduer is

HazyResearch 386 Dec 05, 2022
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight) Abstract Due to the limited and even imbalanced dat

Hanzhe Hu 99 Dec 12, 2022
Get started learning C# with C# notebooks powered by .NET Interactive and VS Code.

.NET Interactive Notebooks for C# Welcome to the home of .NET interactive notebooks for C#! How to Install Download the .NET Coding Pack for VS Code f

.NET Platform 425 Dec 25, 2022
Making a music video with Wav2CLIP and VQGAN-CLIP

music2video Overview A repo for making a music video with Wav2CLIP and VQGAN-CLIP. The base code was derived from VQGAN-CLIP The CLIP embedding for au

Joel Jang | ์žฅ์š”์—˜ 163 Dec 26, 2022
A custom-designed Spider Robot trained to walk using Deep RL in a PyBullet Simulation

SpiderBot_DeepRL Title: Implementation of Single and Multi-Agent Deep Reinforcement Learning Algorithms for a Walking Spider Robot Authors(s): Arijit

Arijit Dasgupta 9 Jul 28, 2022
๐Ÿ˜ฎThe official implementation of "CoNeRF: Controllable Neural Radiance Fields" ๐Ÿ˜ฎ

CoNeRF: Controllable Neural Radiance Fields This is the official implementation for "CoNeRF: Controllable Neural Radiance Fields" Project Page Paper V

Kacper Kania 61 Dec 24, 2022
PyDeepFakeDet is an integrated and scalable tool for Deepfake detection.

PyDeepFakeDet An integrated and scalable library for Deepfake detection research. Introduction PyDeepFakeDet is an integrated and scalable Deepfake de

Junke, Wang 49 Dec 11, 2022
[AAAI 2022] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

A paper Introduction This is an official release of the paper Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation wit

Jiacheng Wang 14 Dec 08, 2022
A script that trains a model to recognize handwritten digits using the MNIST data set.

handwritten-digits-recognition A script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and

Hamza Sayih 1 Oct 30, 2021
A project studying the influence of communication in multi-objective normal-form games

Communication in Multi-Objective Normal-Form Games This repo consists of five different types of agents that we have used in our study of communicatio

Willem Rรถpke 0 Dec 17, 2021
Point cloud processing tool library.

Point Cloud ToolBox This point cloud processing tool library can be used to process point clouds, 3d meshes, and voxels. Environment python 3.7.5 Dep

ZhangXinyun 40 Dec 09, 2022
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Imbalanced Dataset Sampler Introduction In many machine learning applications, we often come across datasets where some types of data may be seen more

Ming 2k Jan 08, 2023
Zero-shot Synthesis with Group-Supervised Learning (ICLR 2021 paper)

GSL - Zero-shot Synthesis with Group-Supervised Learning Figure: Zero-shot synthesis performance of our method with different dataset (iLab-20M, RaFD,

Andy_Ge 62 Dec 21, 2022