PickAClass · AI Applications (Interdisciplinary) · AI for Agriculture (AgriTech)

Automated Pest & Disease Detection

Build and deploy computer vision models to automatically detect and identify pests, weeds, and diseases from images, enabling early intervention and targeted treatments.

Automated Pest & Disease Detection

Python Application Distribution and Decorator Patterns

Python Open Source and Environment Setup Guide

Modern Python Web Frameworks with FastAPI and Pydantic

Python Development Workflows and Modern Language Features

Python Packaging with PyInstaller: Create Standalone Executables

Customizing Django Admin Filters for Django Projects

Compressing Python Objects with Pickle and bz2

Python String Formatting: Mastering the Format Specification Language

Python Systems Fundamentals: Memory, Encodings, and Deployment

Python CLI Development: Building Command Line Tools and Handling Errors

Excel Image Automation with Python and openpyxl

Python Filename Pattern Matching and File Filtering

Python File Management: Build a Custom File Organizer

Building a Python Alarm and Reminder Utility

Python Method Resolution Order and C3 Linearization

Jupyter Notebooks: Productivity Features and Modern Workflows

Python Variables: Understanding Identity and Value Equality

AWS S3 Development with Python: Managing Buckets and Objects in Boto3

Python Semaphores: Building Thread-Safe Concurrency

Managing Python Dependencies and Virtual Environments

Managing and Restoring Python Dependencies with pip

Python Package Management: Updating and Maintaining Dependencies

Python Study Skills and Progress Tracking

Traditional Face Detection with Python