afunTW

Keybase proof

I hereby claim:

• I am afuntw on github.
• I am afuntw (https://keybase.io/afuntw) on keybase.
• I have a public key ASAqRqWMw9V33NOduv-D8ppUi_2z8UU1DinOLhTLLPyacwo

To claim this, I am signing this object:

afunTW

download_from_gdrive() {
    file_id=$1
    file_name=$2
    
    # first stage to get the warning html
    curl -c /tmp/cookies \
    "https://drive.google.com/uc?export=download&id=$file_id" > \
    /tmp/intermezzo.html

    # second stage to extract the download link from html above

afunTW

Intro

Thers's some MS-defined column in .ics that will be ignored when import .ics to google calendar. We can self modified those value and insert/update the google calendar by google calendar API.

• icalendar: parse the .ics file
• google-api-python-client: google calendar API

Usage

afunTW

/*
* input = "apple AND orange"; re = "(?=apple)(?=orange)"
* input = "apple OR orange"; re = "apple|orange"
*/
function queryParser (input) {
  var re = ''
	input = input.split(' ')
	for (var i=0; i<input.length; ++i) {

		if (input[i] !== 'AND' &&

afunTW

class bcolors:
    HEADER = '\033[95m'
    OKBLUE = '\033[94m'
    OKGREEN = '\033[92m'
    WARNING = '\033[93m'
    FAIL = '\033[91m'
    ENDC = '\033[0m'
    BOLD = '\033[1m'
    UNDERLINE = '\033[4m'

afunTW

#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(value_list)]

afunTW

#include <iostream>
#include <vector>
#include <string>
#include <cstdlib>

using namespace std;

vector< vector<int> > transform2IntVecVec (vector<string> vs){

	vector< vector<int> > vvI;

afunTW

#!/bin/bash
echo To show a string within ALL files in a given directory. Updated: 2016-01-10
if [ $# -eq 0 ]
  then
    echo Usage: $0 [directory] [string]  
else
  echo Showing all \'$2\' under directory \'$1\' ...
  
  grep -R -n --exclude-dir=node_modules --exclude-dir=lib --color=always "$2" "$1"
fi

afunTW

Follow the code style below

// comment
exports.youFunc = function(...){}

usage:

1. ./tuneExports.py file1 file2 file3

afunTW

#!/bin/bash

echo "Recording memory usage to memoryLog..."
date >> memLog.csv
echo "USER,%CPU,%MEM,STIME,COMMAND" >> memLog.csv
while true; do
    ps -ax -o user,pcpu,pmem,stime,cmd --sort -rss | head -n 6 >> tmpLog
  while read -r user cpu mem stime cmd; do
    if [ $user != "USER" ]; then
        echo $user,$cpu,$mem,$stime,$cmd >> memLog.csv