Re-implementing Google finance page with Vuejs and D3js

Google Finance

Re-implementing Google finance page with Vuejs and D3js. Try it here: https://vue-google-finance.surge.sh.

Want to try locally?

Install the dependencies

npm install

Compiles and hot-reloads for development

npm run serve

Compiles and minifies for production

npm run build

Run your tests

npm run test

Lints and fixes files

npm run lint

Run your unit tests

npm run test:unit

Download Details:

Author: flowck

Live Demo: https://vue-google-finance.surge.sh/

GitHub: https://github.com/flowck/google-finance

#vuejs #vue #javascript #vue-js #d3js

What is GEEK

Buddha Community

Re-implementing Google finance page with Vuejs and D3js

Google Finance

Re-implementing Google finance page with Vuejs and D3js. Try it here: https://vue-google-finance.surge.sh.

Want to try locally?

Install the dependencies

npm install

Compiles and hot-reloads for development

npm run serve

Compiles and minifies for production

npm run build

Run your tests

npm run test

Lints and fixes files

npm run lint

Run your unit tests

npm run test:unit

Download Details:

Author: flowck

Live Demo: https://vue-google-finance.surge.sh/

GitHub: https://github.com/flowck/google-finance

#vuejs #vue #javascript #vue-js #d3js

Google's TPU's being primed for the Quantum Jump

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.

Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.

The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.

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SPORE FINANCE PREDICTION - WHAT IS SPORE FINANCE & SPORE FINANCE ANALYSIS - SPORE FINANCE

SPORE FINANCE PREDICTION - WHAT IS SPORE FINANCE & SPORE FINANCE ANALYSIS - SPORE FINANCE

In this video, I talk about spore finance coin and give my spore finance prediction. I talk about the latest spore finance analysis & spore finance crypto coin that recently has been hit pretty hard in the last 24 hours. I go over what is spore finance and how many holders are on this new crypto coin spore finance.
📺 The video in this post was made by Josh’s Finance
The origin of the article: https://www.youtube.com/watch?v=qbPQvdxCtEI
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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What Are Google Compute Engine ? - Explained

What Are Google Compute Engine ? - Explained

The Google computer engine exchanges a large number of scalable virtual machines to serve as clusters used for that purpose. GCE can be managed through a RESTful API, command line interface, or web console. The computing engine is serviced for a minimum of 10-minutes per use. There is no up or front fee or time commitment. GCE competes with Amazon’s Elastic Compute Cloud (EC2) and Microsoft Azure.

https://www.mrdeluofficial.com/2020/08/what-are-google-compute-engine-explained.html

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