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Milan Janosov, "Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks" (2024)

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Manage episode 504788600 series 2421470
Content provided by New Books Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by New Books Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Geospatial Data Science Essentials is your hands-on guide to mastering the science of geospatial analytics using Python. Designed for practitioners and enthusiasts alike, this book distills years of experience by wrapping up 101 key concepts from theory to implementation, ensuring you gain a practical understanding of the tools and methods that define the geospatial data science landscape today.

Whether you are a seasoned data scientist, a GIS professional, a newcomer to spatial data, or simply a map lover, this book provides you solid foundation to level up your skills. The book is centered around practicalities, as you will explore real-world examples with compact code throughout ten topics and 101 sections. From understanding spatial data structures to leveraging advanced analytical techniques, from spatial networks to machine learning, this book equips you with a wide range of knowledge to navigate and succeed in the rapidly evolving field of geospatial data science.
Embrace the journey into geospatial data science with this essential guide and discover the power of Python in unlocking the potential of spatial analytics.

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Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

  continue reading

1014 episodes

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iconShare
 
Manage episode 504788600 series 2421470
Content provided by New Books Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by New Books Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Geospatial Data Science Essentials is your hands-on guide to mastering the science of geospatial analytics using Python. Designed for practitioners and enthusiasts alike, this book distills years of experience by wrapping up 101 key concepts from theory to implementation, ensuring you gain a practical understanding of the tools and methods that define the geospatial data science landscape today.

Whether you are a seasoned data scientist, a GIS professional, a newcomer to spatial data, or simply a map lover, this book provides you solid foundation to level up your skills. The book is centered around practicalities, as you will explore real-world examples with compact code throughout ten topics and 101 sections. From understanding spatial data structures to leveraging advanced analytical techniques, from spatial networks to machine learning, this book equips you with a wide range of knowledge to navigate and succeed in the rapidly evolving field of geospatial data science.
Embrace the journey into geospatial data science with this essential guide and discover the power of Python in unlocking the potential of spatial analytics.

Learn more about your ad choices. Visit megaphone.fm/adchoices

Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

  continue reading

1014 episodes

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