Jupyter

Deploy JupyterHub on a lightweight k3s Kubernetes cluster for small research labs and teams, without the overhead of full Kubernetes installations. ...

Introduction In this blog post, we will guide you through the process of setting up a baremetal Kubernetes cluster tailored specifically for the Neural Transmissions (NETS)1 lab, using NVIDIA DeepOps. JupyterHub, a multi-user server that manages and proxies multiple instances of the Jupyter notebook server, is a perfect fit for this research environment. It facilitates seamless collaboration and sharing of data science projects among researchers. Throughout this tutorial, we will walk you through the steps to set up a Kubernetes cluster on baremetal servers equipped with NVIDIA GPUs, and get it ready for the deployment of JupyterHub. ...

Data Preprocessing Notebook link Cumulative Results Note: On Dec 2nd 2019, ProtonDB contribute workflow changed to a questionnaire, subsequently changed the data structures. All data prior to this date are for reference only and should NOT be inferred. Raw user counts per distro Normalized distro market share on ProtonDB Normalized distro market share on ProtonDB (Merged distro base) Arch Linux and Arch-based distro is on the rise, while Debian-based (Ubuntu) distros are on the decline. ...

Download Notebook{: .btn .btn–info } Note: All graphs and plots are interactive. Feel free to zoom, pan, and edit the graphs for more granular details. Question 1 Part A Code import pandas as pd import plotly.express as px px.defaults.width = 600 px.defaults.height = 400 A quick view (first 5 rows) of the data Code data = pd.read_csv("https://docs.google.com/spreadsheets/d/16i38oonuX1y1g7C_UAmiK9GkY7cS-64DfiDMNiR41LM/edit#gid=0".replace('/edit#gid=', '/export?format=csv&gid=')) data.head() ...