Linusp Linusp

## .bashrc
CC_RESET='[00m'
CC_WHITE='[1;37m'
CC_LIGHT_BLUE='[1;34m'
CC_LIGHT_GREEN='[1;32m'
CC_LIGHT_RED='[1;31m'

function get_git_repos_branch()
{
  git branch --no-color 2> /dev/null | sed -e '/^[^*]/d' -e "s/* \(.*\)/\1/"
}

## pereceptron_dual_form.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Author     : Linusp
Date       : 2014/08/30
Description: Simple Perceptron Training
"""

import numpy as np
import matplotlib.pyplot as plt

## perceptron_origin.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Author     : Linusp
Date       : 2014/08/30
Description: Simple Perceptron Training
"""

import numpy as np
import matplotlib.pyplot as plt

## linear_regression.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Author     : Linusp
Date       : 2014/08/30
Description: Linear Regression
"""

import numpy as np
import matplotlib as mpl

## 词性标记.md

      
              1 file
            
          
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              0 comments
            
          
              0 stars
            
          
                Linusp
                / 词性标记.md
            
            
              Created
              December 21, 2015 07:46
                — forked from luw2007/词性标记.md
            
              
                词性标记： 包含 ICTPOS3.0词性标记集、ICTCLAS 汉语词性标注集、jieba 字典中出现的词性、simhash 中可以忽略的部分词性
              
          
    词的分类


实词：名词、动词、形容词、状态词、区别词、数词、量词、代词
虚词：副词、介词、连词、助词、拟声词、叹词。

ICTPOS3.0词性标记集

n 名词

nr 人名

  
## useful_pandas_snippets.py
# List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

# Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

# Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(valuelist)]

## org-mode-reference-in.org

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                Linusp
                / org-mode-reference-in.org
            
            
              Created
              January 29, 2017 04:04
                — forked from drj42/org-mode-reference-in.org
            
              
                This is a cheat sheet for Emacs org-mode... in org-mode format!
              
          
    Org-mode Org-mode Reference Card

Org mode reference card

Created from the plain text reference card on orgmode.org Download this file, and open it in Emacs org-mode!

  
## nosense_response.py
import re
import pickle
from math import sqrt
from operator import itemgetter
from collections import defaultdict, Counter


import click


## weiboda.js
// ==UserScript==
// @name                Weiboda Redirection
// @name:zh-CN          微博档案真实链接地址重定向
// @description         获取微博档案中的原始链接地址

// @grant               none
// @run-at              document-start
// @include             *//weibo.wbdacdn.com/url/*
// ==/UserScript==

## scan_es.py
from elasticsearch import Elasticsearch
from elasticsearch.helpers import scan

index = 'some-index'
doctype = 'some-doctype'
client = Elasticsearch(hosts=['localhost:9200'])
for item in scan(client, index=index, doc_type=doctype, preserve_order=True):
    print(item['_source'])
	CC_RESET='[00m'
	CC_WHITE='[1;37m'
	CC_LIGHT_BLUE='[1;34m'
	CC_LIGHT_GREEN='[1;32m'
	CC_LIGHT_RED='[1;31m'

	function get_git_repos_branch()
	{
	git branch --no-color 2> /dev/null \| sed -e '/^[^]/d' -e "s/ \(.*\)/\1/"
	}
	#!/usr/bin/env python
	# -- coding: utf-8 --
	"""
	Author : Linusp
	Date : 2014/08/30
	Description: Simple Perceptron Training
	"""

	import numpy as np
	import matplotlib.pyplot as plt
	# List unique values in a DataFrame column
	pd.unique(df.column_name.ravel())

	# Convert Series datatype to numeric, getting rid of any non-numeric values
	df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

	# Grab DataFrame rows where column has certain values
	valuelist = ['value1', 'value2', 'value3']
	df = df[df.column.isin(valuelist)]
	import re
	import pickle
	from math import sqrt
	from operator import itemgetter
	from collections import defaultdict, Counter


	import click
	// ==UserScript==
	// @name Weiboda Redirection
	// @name:zh-CN 微博档案真实链接地址重定向
	// @description 获取微博档案中的原始链接地址

	// @grant none
	// @run-at document-start
	// @include //weibo.wbdacdn.com/url/
	// ==/UserScript==
	from elasticsearch import Elasticsearch
	from elasticsearch.helpers import scan

	index = 'some-index'
	doctype = 'some-doctype'
	client = Elasticsearch(hosts=['localhost:9200'])
	for item in scan(client, index=index, doc_type=doctype, preserve_order=True):
	print(item['_source'])