Che ZHAO simoncos

## golang_on_rpi.md

      
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                simoncos
                / golang_on_rpi.md
            
            
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              March 30, 2024 17:56
                — forked from konradko/golang_on_rpi.md
            
              
                Install Golang 1.9 on Raspberry Pi
              
          
    Install Golang 1.9:
wget https://storage.googleapis.com/golang/go1.9.linux-armv6l.tar.gz
sudo tar -C /usr/local -xzf go1.9.linux-armv6l.tar.gz
export PATH=$PATH:/usr/local/go/bin # put into ~/.profile

If already installed old golang with apt-get:

  
## nodejs_on_rpi.md

      
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                simoncos
                / nodejs_on_rpi.md
            
            
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              July 19, 2018 23:30
            
              
                Install Nodejs 6.x on Raspberry Pi Raw
              
          
    Remove old version nodejs and npm:
sudo apt-get remove nodered -y
sudo apt-get remove nodejs nodejs-legacy -y
sudo apt-get remove npm -y
sudo apt-get autoremove

Install nodejs 6.x:

  
## 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


## neu_feature_classification_sklearn.py
# -*- coding: utf-8 -*-

import json
import pandas as pd
from pandas.io.json import json_normalize
from sklearn import feature_extraction
from sklearn.ensemble import AdaBoostClassifier

# f = open("data/neu_features.txt")
# for line in f:

## extract_url_id.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
import re

p = re.compile('("http://hk\.centadata\.com/ccichart/estate_info\.aspx\?id=)([0-9]+)')
s = '<a href="http://hk.centadata.com/ccichart/estate_info.aspx?id=008600" target="_top"> sdfasdfasd <a href="http://hk.centadata.com/ccichart/estate_info.aspx?id=05600" target="_top">'

for match in re.findall(p,s):
    print(match[1])
	# -- coding: utf-8 --

	import json
	import pandas as pd
	from pandas.io.json import json_normalize
	from sklearn import feature_extraction
	from sklearn.ensemble import AdaBoostClassifier

	# f = open("data/neu_features.txt")
	# for line in f:
	#!/usr/bin/python
	# -- coding: utf-8 --
	import re

	p = re.compile('("http://hk\.centadata\.com/ccichart/estate_info\.aspx\?id=)([0-9]+)')
	s = '<a href="http://hk.centadata.com/ccichart/estate_info.aspx?id=008600" target="_top"> sdfasdfasd <a href="http://hk.centadata.com/ccichart/estate_info.aspx?id=05600" target="_top">'

	for match in re.findall(p,s):
	print(match[1])