GhostofGoes

# Editors
.vscode/
.idea/

# Vagrant
.vagrant/

# Mac/OSX
.DS_Store

hereismari

Setting up a MSI laptop with GPU (gtx1060)

Installing Ubuntu 18.04, CUDA, CDNN, Pytorch and TensorFlow

Installing Ubuntu 18.04

Get Image

https://tutorials.ubuntu.com/tutorial/tutorial-create-a-usb-stick-on-ubuntu#0

Install (solving issues)

muammar

#!/bin/bash

## cf from http://programster.blogspot.com/2014/05/ubuntu-14-desktop-install-fira-sans-and.html

cd /tmp

# install unzip just in case the user doesn't already have it.
if [[ `uname` = Linux ]]; then
    sudo apt-get install unzip -y
    wget "http://www.carrois.com/downloads/fira_4_1/FiraFonts4106.zip"

curran

This is the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot). Each row of the table represents an iris flower, including its species and dimensions of its botanical parts, sepal and petal, in centimeters.

The HTML page provides the basic code required to load the data and display it on the page (as JSON) using D3.js.

For a more up to date code example with React & D3, see (VizHub: Stylized Scatter Plot)[https://vizhub.com/curran/3d631093c2334030a6b27fa979bb4a0d?edit=files&file=index.js].

mrosata

#!/usr/bin/python
# Udacity exercise. Just posted the code here to help anyone who wanted to see the work behind my posted result.
__author__ = 'Michael Rosata mrosata1984@gmail.com'
__package__ = ''

from random import random
import turtle

class TurtleArtist(turtle.Turtle):
    _origin = (0, 0)

sloria

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

• "Build tools for others that you want to be built for you." - Kenneth Reitz
• "Simplicity is alway better than functionality." - Pieter Hintjens

BlakeGardner

# Last updated March, 2022 for Apple silicon Macs
# Install Homebrew if you don't already have it: https://brew.sh

# install nano from homebrew
brew install nano nanorc

# update your nanorc file
echo 'include "/opt/homebrew/share/nanorc/*.nanorc"' >> ~/.nanorc

# close and re-open your terminal and you'll have syntax highlighting

entaroadun

Movies Recommendation:

• MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
• Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
• Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
• Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

• Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html