New Books in Technology Milan Janosov, "Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks" (2024)
Sep 6, 2025
Milan Janosov, a geospatial data scientist and founder of Geospatial Data Consulting, chats about his new book, which transforms his cheat sheets into 101 practical Python tips for geospatial analytics. He explains the importance of a practical approach in learning, discussing essential tools like GeoPandas and the role of open data. Milan shares insights on spatial networks, the significance of mastering geometries and projections, and provides exciting examples relevant to urban planning. Get ready to elevate your geospatial skills!
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From Sticky Notes To A Book
- Milan began by compiling personal sticky-note code snippets into a cheat sheet that grew into a book.
- The project evolved accidentally from notebook snippets into a full structured book with chapters and examples.
Let Data Drive Topic Selection
- Parse your past notebooks to find the most-used packages and patterns before planning a learning resource.
- Use frequency analysis to prioritize topics that will be most practical for readers.
Practical First Beats Exhaustive Theory
- Practical, compact recipes often serve practitioners better than deep theory when time is limited.
- Fast, usable shortcuts enable teams to complete projects without re-learning foundational texts.
