A curated advent-calendar style newsletter where guest authors each contribute a data-focused article, running daily until Christmas 2022. Issues cover topics such as data governance, data scraping for beginners and data engineering, plus a bonus podcast interview with the creator.
Website: https://www.adventofdata.com/
Gradient Flow is a practitioner-oriented newsletter by an author who interviews industry figures and writes analytical essays on applied AI, covering topics like deep model customization, local AI deployment, and AI agent security. Readers get concrete lessons from companies building with AI and a clear perspective on where the technology is headed.
A newsletter companion to a podcast on public opinion, polling and survey research, featuring interviews with researchers from organizations like Pew and SurveyMonkey. It also includes the host's essays on how data and measurement shape politics and technology.
EdgarTools publishes technical posts on working with SEC EDGAR filings in Python, including reading XBRL facts, the timing gap in EDGAR's live feed, and 13F comparison pitfalls. Readers get concrete code and an understanding of quirks in SEC filing data.
A journalism lecturer's blog on practical experiments with technology in newsrooms and journalism teaching, including running a local LLM on a laptop and building a lightweight newsroom computer system. Posts are hands-on and candid about trade-offs, with step-by-step testing and reflection.
One short email a week with hand-picked newsletters from the index. Free, no spam, unsubscribe anytime.
