Overview of new features and technical specifications in Esri's ArcGIS Pro 3.5, including Python updates, Parquet support, and system requirements.
Learn how to load large JSON files into Pydantic models using memory-efficient techniques like ijson and dataclasses.
A technical guide applying the Depth Anything V2 AI model to analyze high-resolution Maxar satellite imagery of Bangkok for depth estimation.
A guide on using Azure DefaultAzureCredential with managed identities for secure authentication in Semantic Kernel Python projects.
Explores the concept of 'Design Pressure' in software architecture, examining invisible forces that shape code and discussing coupling, types, and ORMs.
A course teaching how to code Large Language Models (LLMs) from scratch to deeply understand their inner workings and fundamentals.
A talk about the Djangonaut Space project, a community mentorship program for contributing to the Django web framework.
A tutorial on building a production-ready chatbot server using IBM Watsonx.ai and the Model Context Protocol (MCP) Python SDK.
The author stops developing JourneyInbox as a SaaS product due to low market adoption and pivots it for personal use.
A technical guide on creating interactive web maps using Django's GeoDjango module, Pillow for image GPS data, and Leaflet for mapping.
A technical guide on using the GeoDeep Python package to run AI object detection models on Maxar's satellite imagery, focusing on earthquake-affected areas.
A beginner-friendly introduction to using PySpark for big data processing with Apache Spark, covering the fundamentals.
A technical guide on downloading and analyzing Canada's National Address Register (15.8M addresses) using Python, DuckDB, and QGIS to create settlement centroids.
A tutorial on building a beginner-friendly Model Context Protocol (MCP) server in Python to connect Claude AI with local CSV and Parquet files.
#Python #DjangoOnboarding Form and Template - Building SaaS #217NotesIn this episode, I updated my new onboarding form on the School Desk app. This fo
A tutorial on using pandas to calculate scoring streaks or runs in basketball data, demonstrating data manipulation techniques.
Explores building lightweight, static APIs using Python and Protocol Buffers, inspired by static site generation for easy deployment.
Celebrates Pi Day with two math tricks: a party trick using the 'Rule of 37' and a computer implementation of Ramanujan's formula for calculating Pi.
Analysis of Wyvern's open hyperspectral satellite imagery data feed, including setup and tools for processing the GeoTIFFs.
A developer discusses fixing email reputation issues with DMARC and simplifying the user onboarding flow for a SaaS application.
