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2drectangle

3d-tictactoe

this is a 3D TicTacToe game made with JavaScript and nodejs

agile

Our project and web application is called Agile, quite fittingly, as we will explain. We also consider our team, The Tommy Bahamas, quite agile. We quickly determined that meeting briefly after each class would be effective, like a scrum (though under the circumstances not as frequent as scrum). During the first class, we agreed to each come up with proposals that we would review during our first meeting (after the second class). At this initial meeting, we discussed four ideas including a time tracker for tourists, a post-requisite courses finder for SFU students, an interactive gift card center and an employer reference site. We discussed and evaluated each for API applicability as well as usefulness, creativity and ease of use and development. While we could have stuck with one of those ideas, we decided to be agile and take another week to brainstorm before choosing a project. This left us only a week to prepare our project proposal for the customer, so we divided up the proposal writing and editing to prepare this specific document. More agility was recognized as we were successful at building on previous ideas while also being able to let the original ones go. Finally, even with missing one of our teammates during the project selection meeting, we were able to collectively choose a project using in-person and online communication. Using collaboration tools such as Slack and Google Drive we could share information and communicate effectively during the selection process. We shared other ideas such as a Rally Racer application that included posting photos at checkpoints and competing with friends and the public. We also considered further how a post-requisite finder could be implemented, if it was feasible to implement with the time given, and if it solved the problem better than anything currently on the market. Ultimately, the application we selected creates virtual tracks of your actual outdoor running circuits and turns them into real graphical territories based on geolocation positioning. It was spun from different online .io games such as slither.io or paper.io, and focuses on using the Google Maps API. More specifically, our Agile application is based on capturing territories represented as squares by running or jogging around in a circuit. To make the game more competitive, the user will be ranked according to how frequently they captured the territory as well as how much total territory they have accumulated and this data will be represented in leaderboards that is visible to all users. Additionally, users will also be able to invade captured territories by running around a larger circuit that includes the captured area, or capture parts of territories by enclosing a part of someone else’s territory in their own new area. Along the way we came up with many features to think about in future iterations including making popular areas difficult to capture or invade, teaming up with other users to capture a territory will make it harder for other users to invade, and also viewing fitness stats based on all the exercise the user has done. Other “epics” may come from the use of other APIs (in addition to Google Maps) that we are considering to incorporate in Agile such as Google Fit REST API.

ansak-string

String checking, conversion, coercion between ASCII,UTF-[8|16|32],UCS[2|4] + some other bits

assembly

c

c-plus-plus

clicker-game

clicker game

climbeta.github.io

closestpointquery_on_mesh

decmeg2014

Official Repository of the code associated with the data analysis competition DecMeg2014

dining-philosopher-

implement an interactive version of the Dining Philosophers problem using the Resource Hierarchy solution to avoid deadlock. Each philosopher is a thread that is waiting in the eating or thinking state before a user input targets them. Their change of the states is reflected in the entries of an array that is called states.

folium

Python Data. Leaflet.js Maps.

haskell

html-css

huffman_tree

jpeg_compressor

league_of_legends_ml

# League of Legends Machine learning

matrix-determinant-threads

The determinant of a matrix can be determined by calculating the determinant of its submatrices until N<=2. Divide the task of calculating the determinant of submatrices by creating multiple threads and joining the results at the end to compute the complete determinant. Your input will be an integer N, where N>2. Create an NxN matrix using random numbers. Then calculate the determinant of the matrix using multithreading.

onlinecam

pablo-s2s-comipiler

A S2S Compiler for the Prabaixs Pablo language

pokergame

just your avarage poker game on Scala

python

reddit_scraper

Simple reddit scrapper that uses airflow for schedules.

resume

synopsis

Course Synopsis for 7 Gate Academy ML Cohort

wav_display

wizards_adventure_game

An adventure game using common LISP In this game, you are a wizard’s apprentice. You’ll explore the wizard’s house. As you can see, we can visit three different locations: a living room, an attic, and a garden. Players can move between places using the door and the ladder to the attic.

word_count