Blogs | Saravanakumar

../blogs
PostsBlog

My blogs are powered by Hashnode website. If you click on "View Blog", you'll be redirected to Hashnode Blog Site. In order to like or comment you need to login on Hashnode!

Search by Blog name

From:To:

Read Time:

My Experience: Struggles with English

As a non-native English speaker, I have always struggled with fluency in the language. I have faced numerous challenges in my journey to learn English, but I have also learned valuable lessons along the way.

Date Published : 31/05/2024

Reading Time : 4 minutes

EnglishFluencyCommunicationChallenges

Compiler vs Interpreter: C, Python and PyPy

The world of programming is vast and varied, with a multitude of languages and tools available to developers. One of the most fundamental distinctions in programming is the difference between compilers and interpreters.

Date Published : 15/05/2024

Reading Time : 4 minutes

PythonPyPyCompilerInterpreter

Immersive Insights: Build With AI Workshop

The buzz surrounding the Build with AI Roadshow was palpable as tech enthusiasts from across Chennai eagerly awaited the chance to immerse themselves in a day of learning, collaboration, and exploration.

Date Published : 11/05/2024

Reading Time : 6 minutes

GDSC CommunityGen AI WorkshopGeminiGoogle Cloud Platform

Hey, hey, hey... I have even more on here!!

Publications Research

Development and Deployment of a Web-Based Automated Converter for SODAR Wind Energy Data from Binary .dat to Standardized .csv Format
Description: This paper presents an innovative solution for converting SODAR wind energy data from binary .dat to standardized .csv format. The Python-based algorithm efficiently processes data, and extracts timestamps, wind speeds, and directions, generating an output.csv file.
Authors: Saravanakumar R, Leena Jasmine J S
Publication Date: Yet to be published
Published By: Transactions on Pattern Analysis and Machine Intelligence
Read more
Development and Deployment of a Web-Based Automated Converter for SODAR Wind Energy Data from Binary .dat to Standardized .csv Format
Description: This paper presents an innovative solution for converting SODAR wind energy data from binary .dat to standardized .csv format. The Python-based algorithm efficiently processes data, and extracts timestamps, wind speeds, and directions, generating an output.csv file.
Authors: Saravanakumar R, Leena Jasmine J S
Publication Date: Yet to be published
Published By: Transactions on Pattern Analysis and Machine Intelligence
Read more

ORCID:0009-0008-6026-3263

../blogsPostsBlog