Code/Notes for the Data Engineering Zoomcamp by DataTalksClub
Spring Boot Batch Procecssing CSV to MongoDB
BatchTrimmer trims silence at file edges (configurable dBFS), normalizes audio to a target peak (e.g., –1 dBFS), and adds fade-in/out effects with adjustable duration. It exports to WAV, MP3, FLAC, OGG, or AAC with options for bit depth, sample rate, output folder, filename suffix, and overwrite mode.
Python desktop app for quiz question extraction and formatting from text or image files. Includes EasyOCR for text extraction, Deepseek LLM via Ollama for AI-powered parsing, PyQt5 for GUI, and JSON for structured output.
Efficiently Import Millions of Records in PostgreSQL
Monitors the Batch.txt logfile to check the progress of BESA batches. When the batch stops (from crashing or completion), Amazon AWS SNS service will send an email notification.
Master JDBC with comprehensive tutorials, examples, and best practices. Dive into database connectivity and SQL interaction to build robust Java applications.
This is complete Python package module implementing: 1 - Background removal, 2 - Add background color/template. 3 - Enhance image quality, 4 - Resize and compress image, 5 - Resize by custom height*width
⏩ A SQL-esque language compiler for storing relational and key-value based cache data on the backend
This is complete Python package module implementing: 1 - Background removal, 2 - Add background color/template. 3 - Enhance image quality, 4 - Resize and compress image, 5 - Resize by custom height*width
Image Magic Suit is a modern python toolkit for background removal, background replacement, quality enhacement, resizing, and intelligent compression, support both color-based nd template-based backgrounds, LANCZOS resizing, and high quality optimization. Ideal for developers, automation system.
A modern e-commerce platform that has with assumption many sets of microservices. For this exercise, you are going to focus on the order microservice using Spring Boot, Kafka, Postgres.
Background removal (rembg + OpenCV fallback) - Smart background detection & blending - Smart cropping (object-aware) - Auto color correction - Resize & compress to target file size - Optional AI upscaling (Real-ESRGAN integration) - Batch processing, caching, CLI & FastAPI
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