A technical guide on analyzing global flight tracking data from ADS-B receivers using Python, DuckDB, and QGIS.
Announcing HEtools, a new Python package for Fully Homomorphic Encryption (FHE) development, now available on PyPI.
Announcing libactivation, a new Python package on PyPI providing activation functions and their derivatives for machine learning and neural networks.
A developer episode on parsing inbound emails with Python & Django to create journal entries, using libraries like dateutil and email.
A technical guide exploring the OpenAI Assistants API, covering its core concepts and demonstrating how to create an assistant with the Code Interpreter tool.
A technical guide on accessing, downloading, and analyzing Maxar's freely available satellite imagery from their Open Data Programme using tools like GDAL, Python, and DuckDB.
The article details making an email sending job idempotent in a Django SaaS project and parsing inbound emails for journal entries.
A Python developer shares advice for conference organizers, covering both in-person and online events, based on years of attendee and speaker experience.
Connecting outgoing prompt emails to incoming user journal entries via webhooks, using debugging and logging in production.
A guide on learning software development effectively, covering language choice, early practice with simple challenges, and building a todo app.
A guide on deploying a Python/Django SaaS application to Heroku, covering production setup and DNS configuration.
A tutorial on building a Python chat app using Azure OpenAI's 'Add your data' feature and vector search with Azure Cognitive Search.
A guide to debugging a broken Python Language Server (pylsp) by running it manually over TCP and identifying a Jedi version conflict.
A comparison of the kr8s Python library against other Kubernetes client libraries, focusing on simplicity, readability, and maintainability.
A Python Frederick meetup on automating document creation using Python-docx and Jinja templates, inspired by Practical Business Python.
Explains how to use Azure OpenAI's 'Add your data' feature programmatically via REST APIs to integrate custom documents into AI responses.
Introduces EasyLLM, an open-source Python package for streamlining work with open large language models via OpenAI-compatible clients.
A developer prepares a SaaS for launch by adding user history, soft deletion, and SendGrid email integration.
Compares performance of Python's map() function and list comprehensions through benchmarks, showing list comprehensions are often faster.
The author adds Sentry integration and prepares for launch in this SaaS development episode, part of a series on building a product.
