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using System;
using UnityEngine;
using UnityEngine.Tilemaps;
using Random = UnityEngine.Random;

public class PlayerAnimator : MonoBehaviour {
    [SerializeField] private float _minImpactForce = 20;
    
    // Anim times can be gathered from the state itself, but 
    // for the simplicity of the video...

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#!/usr/bin/python3
import io
import os
import lz4.block
from glob import glob

FILE_PATH = os.path.dirname(os.path.realpath(__file__))

def uint32(data):
  """Convert 4 bytes to a little endian unsigned integer."""

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version: '2'

services:

  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch-oss:6.2.2
    volumes:
       - esdata:/usr/share/elasticsearch/data
    ports:
      - "9200:9200"

raychorn

Portainer on Windows 10

Here I have 2 methods for running portainer on windows, a quick, preferred method only requiring a fairly recent version of docker, or a more complicated method to try if that does not work.

Using host.docker.internal

This setup will let you run Portainer on windows by using the host.docker.internal endpoint (docker.for.win.localhost is depricated since docker version 3.2.1, but older versions may use this instead).

Please note:

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### Features:

Pluggable via Python Modules via Python Package(s).

Low Amount of code required to deploy and thus self-deploying.

Django Framework + Django Rest Framework.

Plug-in Python Module and either Introspect or use Metadata in the Module to define the specific functions to expose via REST.
Each function becomes a separate and distinct REST Web Service via a Smart APIView subclass that encapsulates the Security Model 

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package main

import (
    "crypto/aes"
    "crypto/cipher"
    "fmt"
    "crypto/rand"
    "io"
    "encoding/base64"
    "encoding/hex"

raychorn

Windows 10 Docker Desktop VSCode WSL 2 Ubuntu 20.04 Development Environment - this kinda says it all, if you are familar with how this might work.

Some development environments might not like Ubuntu 20.04 but they might like Debian Buster better and when this happens it can be useful to
deploy a new development environment via Docker Desktop from WSL 2 Ubuntu 20.04 via the command line and mount the project files from
Linux.  One minor rub is to get "git" (no pun) into the Container but this can be easily done when the Docker Image is built.

Works for me.

raychorn

WSL install another distro

0. Here are some default vars for the process

ISO_DIR=~/fedora;
ROOTFS_MOUNT_DIR=/mnt/contents

DISTRO_LOCATION=

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https://mungingdata.com/go/dataframes-gota-qframe/

https://github.com/go-gota/gota  <-- Minimal.

https://github.com/tobgu/qframe  <-- Stable?

https://github.com/rocketlaunchr/dataframe-go <-- Looks interesting.

Probably easier to use Python pandas to load the data then dump data into GO via JSON/Web localhost to crunch the data 
possibly faster than using Python alone. Then respond back to Python with data it can load into a Pandas dataframe, etc.

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Problem Statement:

Use Go to augment the processing power of Python.

Solutions:

(1) Call GO from Python:

This can be done but it is a bit tedious as shown below: