Blogs | Saravanakumar

../blogs
PostsBlog

My blogs are powered by Hashnode website. I write about various topics including tech, programming, and life. Feel free to check them out!

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