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Python

Home » Python
parquet reader
Posted inData Engineering Python Technical Blogs

Parquet Reader: A Powerful Desktop Application for Data Engineers

Latest Version: 1.0.0 (Released: 10 March 2025) parquet-Reader Introduction For data engineers and analysts who frequently work with Apache Parquet files, a robust and efficient tool is a necessity. Parquet…
Posted by Afzal Malik March 9, 2025
Python Interview Questions
Posted inData Engineering Python

Data Engineering Interview Questions and Answers in Python

Data engineering is a crucial discipline in the world of data science and analytics. Below are five common interview questions related to data engineering, particularly focusing on Python. Each question…
Posted by Afzal Malik February 27, 2025
Ray VS Spark
Posted inData Engineering Python

Unleashing the Power of Ray on AWS: Why Amazon’s Transition from Apache Spark is a Game-Changer for Data Engineering

In the realm of data engineering, the choice of tools can significantly impact the efficiency, scalability, and cost-effectiveness of data processing tasks. Recently, Amazon made headlines by transitioning from Apache…
Posted by Afzal Malik February 26, 2025
parquet reader
Posted inPython Technical Blogs

Building a Parquet File Reader with Python and Tkinter

Introduction Parquet is a popular columnar storage file format widely used in big data and analytics. However, reading and analyzing Parquet files on a desktop often requires programming knowledge. In…
Posted by Afzal Malik February 26, 2025
python coding
Posted inData Engineering Python

Top 5 Python Coding Challenges (with Solutions) for Beginners and Beyond

Python’s simplicity and versatility make it a popular choice for beginners and experienced developers alike. In this blog post, we’ll explore five essential Python coding challenges, each with a step-by-step…
Posted by Afzal Malik February 20, 2025
AWS Glue Run Locally
Posted inAWS Data Engineering

How to Run AWS Glue Locally for ETL Processing (Step-by-Step Guide)

Introduction AWS Glue is a powerful serverless ETL (Extract, Transform, Load) service that allows data engineers to process large-scale datasets efficiently. However, running AWS Glue jobs in the cloud can…
Posted by Afzal Malik February 19, 2025
DynamoDB to Redshift real-time integration
Posted inAWS Data Engineering

Real-Time Data Integration: From DynamoDB to Redshift Using AWS Lambda

In today’s data-driven world, businesses need to analyze real-time data to make informed decisions. Amazon DynamoDB, a fully managed NoSQL database, is a popular choice for storing high-velocity transactional data.…
Posted by Afzal Malik February 6, 2025
Searchable Non Stored Compute Field In Odoo 18 best seo search and best readable good Searchable
Posted inOdoo Technical Blogs

Searchable Non-Stored Compute Fields in Odoo 18.

Odoo 18 provides powerful tools to define computed fields, which can be used to display dynamic values. However, one common challenge developers face is making these computed fields searchable when…
Posted by Aarish Malik February 1, 2025
Understanding Django Middleware: A Deep Dive:
Posted inPython

Understanding Django Middleware: A Deep Dive:

Django is a powerful web framework that simplifies web development. One of its most versatile features is middleware—a powerful mechanism for processing requests and responses globally. In this blog, we’ll…
Posted by Aarish Malik February 1, 2025
Django Stack Roadmap: A Comprehensive Guide
Posted inDeployment Programming Python

Django Stack Roadmap: A Comprehensive Guide

Introduction The Django stack, consisting of Python, Django, and PostgreSQL/MySQL, is a powerful and scalable framework for building full-stack web applications. This guide provides a structured roadmap to mastering the…
Posted by Mohd Aahad January 30, 2025

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