DistributedDoge

@DistributedDoge

Joined on Nov 5, 2019

  • After discussion we surfaced some reasons not to do it: We might want to get more experience as Grantee before acting as grantor. Dispersing and requesting money puts us in a weird spot when fundraising if done at the same time. If we downsize the round too much we only annoy people by either being too selective or "slicing-the-pie-too-thin" so everyone walks away with $100 each or worse. https://gov.gitcoin.co/t/gg21-community-round-proposal-template/19015 Name (or Topic/Theme) of Proposed Round: "Make Ethereum Cool Again" with 2077 Collective!
     Like  Bookmark
  • I am borrowing the general idea from here: https://gap.karmahq.xyz/project/open-source-observer/grants?tab=milestones-and-updates Profile Gitcoin Data Portal is an open source, serverless, and local-first open data platform aiming to make Gitcoin Data more accessible. We achieve this by: Taking Gitcoin data from various sources Cleaning the data so that it is analysis-ready
     Like  Bookmark
  • Pandas Task #1 For pandas level of Data Science course we are asking you to do two courses on Kaggle platform to make sure everyone starts from the same level when working with data! Course 1. Intro to Programming 2. Python In first course, pay special attention to functions and how they help to avoid duplicate code and structure your programs nicely.
     Like 1 Bookmark
  • Youtube Content on youtube ranges from short "quick-trick" videos to 24-hour tutorial playlists. For the former if there is some topic or tool you are unfamiliar with ("What is REDIS?") youtuber Fireship is great at giving 100 second overview on many tools and concepts: SQL in 100 seconds: https://www.youtube.com/watch?v=zsjvFFKOm3c REST API in 100 seconds: https://www.youtube.com/watch?v=-MTSQjw5DrM GraphQL in 100 seconds: https://www.youtube.com/watch?v=eIQh02xuVw4 Some of his videos assume some prior knowledge, but he still does great job making the concepts accessible in "100 seconds" format.
     Like  Bookmark
  • grant-data.xyz/portal import pandas as pd rounds = pd.read_parquet("http://grant-data.xyz/rounds.parquet") Gitcoin Datasets in one place! http://grant-data.xyz /rounds.parquet /projects.parquet /rounds_votes.parquet
     Like  Bookmark