9/12/2023 0 Comments Notebook wolfram![]() My co-worker, Gustavo Gouvea, also put efforts in this solution.įirst of all, go to Google Cloud Platform (GCP) Compute Engine and select Create Instance in a given region. So, I will present how I was able to run Mathematica inside a Jupyter notebook located in a Google Cloud instance with 8 V100 GPUs. However, I was told one can also use Wolfram Client Python library and run Mathematica in a Python notebook. One way it's to use webMathematica, installing Java and Apache Tomcat in a cloud instance. So, I started wondering how I could use GPUs with Wolfram Mathematica. And time is what you don't have in a startup. However, I was dealing with a drawback: if you choose to plot more than 10,000 connections in Mathematica, that can take some time. So, it's clear that Wolfram Mathematica is way ahead of networkx. More than that, you can highlight communities and check the number of connections of each individual: In my previous experience of Wolfram Mathematica, I was able to use some reasoning coming from cellular automata interactions to map, track people of interest (blue circle), and watch the evolution of mood (color), number of connections (size of circle) in a social network:īesides, one can use Mathematica's features of finding communities, coloring them and even highlight people of interest when passing the mouse over the social network and also speaking their names: It's an interesting perspective, but adds little value to generate strategic insights for our clients, given that we need to zoom it to analyze details of this network. Take the following picture as an example, done with networkx, 100,000 people: However, I was completely aware of the additional functionalities of Wolfram Mathematica. ![]() Recently I was working with Social Networks in Python using networkx library to analyse posts from a given hashtag for our client. I am a Data Scientist working in a startup in Brazil. Finance, Statistics & Business Analysis.Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Data Framework Semantic framework for real-world data. ![]()
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