Skip to content
View Thanaraklee's full-sized avatar
:shipit:
Talk is cheap. Show me The code.
:shipit:
Talk is cheap. Show me The code.
11 followers · 17 following

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Quickdraw
BetaSend feedback

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Quickdraw
BetaSend feedback

Highlights

Block or Report

Block or report Thanaraklee

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Thanaraklee/README.md

Welcome to my GitHub!

class Introduce:
    def __init__(self):
        self.name = "Thanarak Leenanon"
        self.role = "Student at Thammasat University"

    def say_hi(self):
        print("Hi! Thanks for dropping by. 👋")

me = Introduce()
me.say_hi()

Can you call me "Bank"

I am currently studying data science and innovation and have been actively using the Google Cloud Platform for data engineering projects. I am passionate about working with large datasets and have a strong ability to collaborate effectively in a team environment.

Thanarak Lee's Dev Card

Pinned

  1. DataFlow-with-GCP DataFlow-with-GCP Public

    This project demonstrates the workflow of a Data Engineer. It utilizes the Google Cloud Platform and Google Colab as the main tools.

    Python

  2. Exploring-and-Analyzing-Data-in-Oracle-Database Exploring-and-Analyzing-Data-in-Oracle-Database Public

    This project focuses on data analysis using SQL with Oracle Database 21c. It aims to familiarize with data management and data analysis using SQL commands and Oracle Database 21c.

  3. Real-Time-PySpark Real-Time-PySpark Public

    This project introduces PySpark, a powerful open-source framework for distributed data processing. We explore its architecture, components, and applications for real-time data analysis.

    Python 9 7

  4. PySpark-Big-Data-RDD-Operations PySpark-Big-Data-RDD-Operations Public

    This project illustrates Apache Spark RDD operations, from creation and transformation to actions and results, enhancing users' understanding of distributed data processing.

    Jupyter Notebook

  5. Head-Require Head-Require Public

    head-require is a library that aims to simplify the creation of requirements.txt files. head-require generates requirements.txt based on the packages actually used in your project.

    Python