Data Science Blog

Graph RAG: Adding Structure to Retrieval

Mon, 05 Oct 2026 00:00:00 +0000

How knowledge graphs improve retrieval-augmented generation

Docker and Kubernetes

Mon, 25 Sep 2023 00:00:00 +0000

An introduction to Docker in Data Science

Python Unit Test

Fri, 15 May 2020 00:00:00 +0000

Why unit test for Python

Bash

Wed, 13 May 2020 00:00:00 +0000

WIP Bash

echo print && and ; both command in the same line will || or exit codes $ last commands ./ current directory Ex.

echo "Hello world"
> Hello world

echo $?
> 0 #exit codes successful
> 1 #exit codes not successful anything is not 0

Command substitution

var_1=$("Test") # no space
var_2=${Test2}
echo "test $var_1"
echo "test $var_2"

Trivia

cat lorem_ipsum

Pipe Symbol |

Function

function name_of_function(){
 return
}

Give permission to the file chmod +x filename.sh ./filename.sh #type this in the command

UML

Sat, 18 Apr 2020 00:00:00 +0000

Unified Modeling Language

Type of Data

Sun, 12 Apr 2020 00:00:00 +0000

Most common type of data

Web Frameworks for Python

Sat, 28 Mar 2020 00:00:00 +0000

Django VS Flask

Data Structure and Algorithm

Fri, 20 Mar 2020 00:00:00 +0000

An introduction to the essence of programming

Python Library

Fri, 20 Mar 2020 00:00:00 +0000

Interesting & Useful Python Library

Data Architecture and Data Science

Sun, 23 Feb 2020 00:00:00 +0000

Data Architecture for Data Science

Basic Python

Sat, 15 Feb 2020 00:00:00 +0000

An introduction to Python programming

Cloud Computing and Data Science

Sat, 15 Feb 2020 00:00:00 +0000

Why using Cloud for Data Science

Machine Learning

Sat, 15 Feb 2020 00:00:00 +0000

An introduction to Machine Learning

Git and Data Science

Wed, 15 Jan 2020 00:00:00 +0000

Why using Git for Data Science

About Me

Mon, 01 Jan 0001 00:00:00 +0000

After obtaining a Bachelor’s Degree in Computer Engineering (CE), I soon pursued my Masters in Image Processing, which was a field initially considered as an Engineering discipline but later on found its relevance towards Computer Science.

At the time (circa 2013), the Data revolution was just beginning to take place and people were still introduced to the term ‘Big Data’ due to a need for a more efficient way of managing vast & complex data/information.

Contact

Mon, 01 Jan 0001 00:00:00 +0000

Feel free to ask me on data science/machine learning or image processing by using the contact form below.

I will get back to you as soon as possible! :)

Thank you email

Mon, 01 Jan 0001 00:00:00 +0000

Thank you for your email