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# good for testing frameworks

import maya.standalone
maya.standalone.initialize()
 
from maya import cmds
cmds.loadPlugin('path/to/plugin.so')

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#Uploading the Dataset 
from google.colab import files
uploaded = files.upload()

#Save uploaded file on the Virtual Machine's 
#Thanks to user3800642 from StackOverflow 

with open("breast_cancer.csv", 'w') as f:
    f.write(uploaded[uploaded.keys()[0]])

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///
/// Average max distance
///
float maxdistance = 15;
int maxpoints = 5;
int closept[] = pcfind_radius(0, "P", "pscale", 1.0, @P, maxdistance, maxpoints);

f@dist = 0;
foreach (int opt; closept) {
    vector npos = point(0, "P", opt);

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# Restart the VM
!kill -9 -1

## Mount a google drive
# install prereqs
!apt-get install -y -qq software-properties-common python-software-properties module-init-tools
!add-apt-repository -y ppa:alessandro-strada/ppa 2>&1 > /dev/null
!apt-get update -qq 2>&1 > /dev/null
!apt-get -y install -qq google-drive-ocamlfuse fuse
from google.colab import auth

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    void branchlessONB( Vector3 N, ref Vector3 A, ref Vector3 B)
    {
        float sign = N.z >= 0.0f ? 1.0f : -1.0f;
        float a = 1.0f / (sign + N.z);
        float b = N.x * N.y * a;
        A.Set(1.0f + sign * N.x * N.x * a, sign * b, -sign * N.x);
        B.Set(b, sign + N.y * N.y * a, -N.y);
    }
    

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Anaconda Configuration

conda create -n tensorflow tensorflow-gpu pip python=3.6
conda install ipython matplotlib cython mkl_random mkl mkl-devel swig

Install OpenAI Gym

Install from source: https://github.com/openai/gym

pip install -e .

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import numpy as np
import torch
from torch import nn
from itertools import count
import time

#%%
# make some data
N = 100

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System Management

• WinDirStat: https://windirstat.net/
• ProcessExplorer: https://docs.microsoft.com/en-us/sysinternals/downloads/process-explorer
• Windows Assessment and Deployment Kit (ADK): https://docs.microsoft.com/en-us/windows-hardware/get-started/adk-install

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import zmq
import sys,os,time

#%%
port = '5563'
def server():
    context = zmq.Context()
    socket = context.socket(zmq.PUB)
    socket.bind('tcp://*:%s' % port)

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Preamble

import unreal_engine as ue
from unreal_engine.classes import PoseableMeshComponent, SkeletalMesh, Skeleton, SkeletalMeshComponent
from unreal_engine import FTransform, FVector, FRotator, FQuat, FSoftSkinVertex

Access object from editor

actor = ue.editor_get_selected_actors()[0]