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New Backend Repo + Transition from Ruby to Python #1

@nb333

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@nb333

Hello!

Welcome to our new backend repo!

@joshghent @rich-iannone @naveen09 @johnmcconnell @tomohitoy @jpavlo @sandlbn @sant0sh @blakedietz @iwebhub @nitish1099 @Aditya91 @blelump @danigonlinea @zdroid @feenr @HHammond @jakeoverall @kendopunk @Kingtak @nav-mike @thegeektets @titannguyen

After some discussions with @joshghent, I've decided to removed Marid from Basecamp. From experience, projects have gone best when GitHub is used as the primary source of issue tracking, communicating, sharing ideas and assigning tasks. Plus, it just makes sense, since Marid is an open source project.

For those who haven't been involved in recent conversations, this new backend repo is for us to start the backend from scratch with Python (instead of Ruby). The current state of the Ruby backend can be found here, please disregard the frontend files in this repo as they're out-of-date. @sandlbn created the Ruby backend and wants to help with our transition to Python - if you have any questions about it, please ask him. The current frontend repo can be found here.

I'm also attaching the OpenFaux Server-Side Team (Python Devs) cc: @sebastiani @schumannd @sant0sh @Wingie @boxtown @arunenigma @mouuff @thiagopa @metude @phillipbroberts @indradhanush @dongsam @quanticle @bangarang @caseybecking @stevenschmatz @jhg

Welcome to our project, Marid. We're working on an open source music platform that beautifully showcases the works of independent and unsigned artists; this includes their music, videos, lyrics, and images - like a portfolio. To make it even better, we're allowing music producers, engineers, artists, and songwriters to all join the platform. Marid provides them with the tools and insights they need to express themselves and potentially get signed, build a fan base, or just team up with other amazing talent... in other words, ultimately succeed; for every user that views their content, we have a built-in dashboard for them to view those stats: where, what, when, why, and who is viewing your work. Utilizing D3.js visualizations, users can select by country and even zoom in on state/province levels on the map and break down the areas in the world that love your work the most and so forth. Having those detailed of statistics allow us to feature on our homepage: the top artists near you, music that you should like, songs you've recently listened to, and what's generally popular right now - which also ties into our idea for the Python recommendation system @sant0sh has been working on. I would be highly grateful if any of you guys could help with our transition from Ruby to Python. If you have any questions about Marid, feel free to ask us.

I look forward to taking Marid to the next level with you guys!

Nathan

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