Prayson Wilfred Daniel Proteusiq

## miniconda_on_rpi.md

      
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                simoncos
                / miniconda_on_rpi.md
            
            
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              August 9, 2023 07:18
            
              
                Install Miniconda 3 on Raspberry Pi
              
          
    refer to: https://stackoverflow.com/questions/39371772/how-to-install-anaconda-on-raspberry-pi-3-model-b
{USER}: pi
Install Miniconda 3:
wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-armv7l.sh
sudo md5sum Miniconda3-latest-Linux-armv7l.sh # (optional) check md5
sudo /bin/bash Miniconda3-latest-Linux-armv7l.sh # -&gt; change default directory to /home/pi/miniconda3


## config-docker.sh
#!/bin/bash
#
#This script assumes very little other than a fresh Ubuntu install (using the Windows store) on Win10 1709 or newer with WSL installed already
#In Powershell, run the following to install WSL and Ubuntu
#
#Enable-WindowsOptionalFeature -Online -FeatureName Microsoft-Windows-Subsystem-Linux
#Invoke-WebRequest -Uri https://aka.ms/wsl-ubuntu-1604 -OutFile ~/Ubuntu.zip -UseBasicParsing
#Expand-Archive ~/Ubuntu.zip ~/Ubuntu
#~/Ubuntu/ubuntu.exe
#

## TextRank4Keyword.py
from collections import OrderedDict
import numpy as np
import spacy
from spacy.lang.en.stop_words import STOP_WORDS

nlp = spacy.load('en_core_web_sm')

class TextRank4Keyword():
    """Extract keywords from text"""


## lines.py
#!/usr/bin/env python

import multiprocessing
import random
import time


class Logger:
    def __init__(self, num_lines, last_output_per_process, terminal_lock):
        self.num_lines = num_lines
	#!/bin/bash
	#
	#This script assumes very little other than a fresh Ubuntu install (using the Windows store) on Win10 1709 or newer with WSL installed already
	#In Powershell, run the following to install WSL and Ubuntu
	#
	#Enable-WindowsOptionalFeature -Online -FeatureName Microsoft-Windows-Subsystem-Linux
	#Invoke-WebRequest -Uri https://aka.ms/wsl-ubuntu-1604 -OutFile ~/Ubuntu.zip -UseBasicParsing
	#Expand-Archive ~/Ubuntu.zip ~/Ubuntu
	#~/Ubuntu/ubuntu.exe
	#
	from collections import OrderedDict
	import numpy as np
	import spacy
	from spacy.lang.en.stop_words import STOP_WORDS

	nlp = spacy.load('en_core_web_sm')

	class TextRank4Keyword():
	"""Extract keywords from text"""
	#!/usr/bin/env python

	import multiprocessing
	import random
	import time


	class Logger:
	def __init__(self, num_lines, last_output_per_process, terminal_lock):
	self.num_lines = num_lines