Reintroducing the WeMeta NFT Land Aggregator

Zillow for the Metaverse


Track the Top Trending Communities, Worlds, Lands, and Owners of the Metaverse

Introducing Metaverse Leaderboards

  1. Who are the largest communities?
  2. What are the most in-demand worlds?
  3. Which are the most expensive…


Blockchain | Data Science

High Level Dapp and Account Specific Transaction Flow

Screen Shot 2021–06–23 at 4.55.15 AM

Overview

  • Fetch Transaction History
  • Adding Time
  • Initial EDA — Most Popular?
  • Findings — What’s Popular?
  • Graphistry — Explore Relationships
  • Berry Club
  • Visualize Transaction Volume
  • Prophet — Forecast Transaction Volume
  • Resources

Fetch Transaction History

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Blockchain | Data Science

Connecting to NEAR Indexer for Explorer with psycopg2


Neighbor to Neighbor Real Estate Transactions


Free on Google Colab — Time series forecast with Prophet

Open in Colab: https://colab.research.google.com/github/gumdropsteve/intro_to_prophet/blob/master/prophet_yfinance.ipynb

Install yfinance

pip install yfinance

Pull & Prep Data

Forecast with Prophet


Getting started with Facebook Prophet’s R API (real data + code)

“Time series forecasting is the use of a model to predict future values based on previously observed values.”

— Wikipeida

Outline

  1. What is Facebook Prophet ?
  2. How does Prophet work?
  3. How does Prophet work
  4. Practice with Prophet
  • 4.1 Installation & Imports
  • 4.2 Data & Prep
  • 4.3 Making a Forecast
  • 4.4 Breaking Down a Forecast
  • 4.5 Forecast Quality Evaluation

What is Facebook Prophet?


No camera required. (Built on Jetson Nano.)

Code to Reproduce this Display (original video source)

cv.cuda

Step 1 — .upload()


From single image to Dask Delayed (Python)

Looks like we’re stuck in RGB.

Outline

  • On a Single Image
  • On a Series of Images
  • On Series of Images in Parallel with Dask Delayed

On a Single Image

Step 1: Upload

Step 2: Have Fun


3 Step Set up and get started (+ test code)

Step 1 — Install PyCUDA

pip install pycuda

Step 2 — Set nvcc Path

sudo gedit ~/.bashrc
export PATH=${PATH}:/usr/local/cuda/bin
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda/lib64
source ~/.bashrc
nvcc --version

Step 3 — Test with Code

Winston Robson

Friend links: https://gumdropsteve.github.io/blog — “Energy may be likened to the bending of a crossbow, decision to the releasing of a trigger.”

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