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# -*- coding: utf-8 -*-
import numpy as np

#===========================================
#%% Index and element wise operation
#===========================================

#%% logical indexing
data = np.random.randn(7,4)
names = np.array(['Bob', 'Joe', 'Will', 'Bob', 'Will', 'Joe', 'Joe'])

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match.py
replace.py
search.py

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// Easiest
// Mydata.json.js defines a variable
<script src="mydata.json.js"></script>


//? work
fetch("test.json")
  .then(response => response.json())
  .then(json => console.log(json));

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export LC_ALL=en_US.UTF-8
export LANG=en_US.UTF-8

export CLICOLOR=1
export TERM=xterm-color
export GREP_OPTIONS='--color=auto' GREP_COLOR='1;32'
export CLICOLOR=1 
export HISTFILESIZE=100000
export HISTSIZE=100000 
export LSCOLORS=GxFxCxDxBxegedabagaced

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# Variable, type and functions  https://github.com/PacktPublishing/Julia-1.0-Programming-Cookbook/tree/master/Chapter05

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UPDATE courses_question q
SET video = ''
FROM courses_questioncategory qc
WHERE qc.category = 'recordingVoiceImageOnly'
AND q.question_category_id = qc.id

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# 1_matplotlib
# 2_seaborn

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try:
  func()
except IOError as exc:
  print(exc)
  
  raise exc

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# xml document
# edit.py
# encode.py
# extract.py
# namespace.py
# search.py