Wednesday, May 11, 2016

Web-based Notifications Implementation

Hi, The following code samples may help you in implementing web-based notifications in your portal/website without using any third party library.

Notification Window CSS Code:
Notification Window UI Code:
Notification window UI will look like, as follows
JavaScript Code to View / Hide Notification Window:
Expanded notification window will be look like, as follows

Monday, March 14, 2016

Shell Script to Extract Email ids from Website URL

It is always tedious work to extract e-mail ids from websites for publicity purpose. So I created a shell script which automate the extraction of mail ids from URLs.

#!/bin/bash

# SCRIPT NAME: mail_id_extractor_from_url.sh

# DESCRIPTION: This script takes a list of seed URLs and extracts all sub URLs and referenced URLs from seed URLs. Visits all sub and referenced URLs of seed URLs and extracts mail ids.

# USAGE: bash mail_id_extractor_from_url.sh website_list.txt
# website_list.txt file contains all seed URLs to extract mail ids.

#AUTHOR: Reniguntla Sambaiah

filename="$1"
while read -r seed_url
do
    name="$seed_url"
    lynx -dump $seed_url | grep "http" >> sub_urllist0.txt
done < "$filename"

cat sub_urllist0.txt | awk '{print $2}' > sub_urllist1.txt
sort sub_urllist1.txt | uniq -u > sub_urllist.txt
rm sub_urllist0.txt sub_urllist1.txt
echo "Extraction of sub URLs of seed URLs done"

mode=1
if [ "$mode" -eq "1" ];then
echo "Be patient, It will take some time :-)"
cat sub_urllist.txt | while read url
do
echo $url
curl $url > url_text.txt
grep -E -o "\b[a-zA-Z0-9.-]+@[a-zA-Z0-9.-]+\.[a-zA-Z0-9.-]+\b" url_text.txt >> mailids.txt
done
fi

sort mailids.txt | uniq >> extracted_mail_list.txt
rm mailids.txt url_text.txt
echo "Email ids extraction done. Check extracted_mail_list.txt file"
exit 0

# End of script


Thursday, March 3, 2016

Short Term Courses on Data Science

Call for Participation
Short-term courses on Data Science
CDAC, Kharghar, Navi Mumbai

We are living in a Data Age. Data is being continuously generated and consumed in various formats, and sizes from a number of varied sources. This data can be a big asset if stored, processed and analysed efficiently in real time with the help of intelligent algorithms. There is a growing interest to utilize such data for the improvement of business, health, education, society, etc. There are many ways to process and analyse such data spanning techniques like data visualization, text analysis, predictions and recommendations etc. Applications of these techniques can give companies and organisations valuable insights leading to competitive advantage, efficient service delivery and above all customer satisfaction. And so the demand for skilled resources in these fields is growing day by day.


With this view, CDAC, Mumbai is announcing the following short-term courses in Data Science and Machine Learning.
--Using R for data visualization and analytics
--Text Analytics
--Predictive Analytics and Recommender Systems
For more details and registration, please visit at http://www.kbcs.in/datascience.