Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas
Integrating Python into your day-to-day ArcGIS work is highly recommended when dealing with large amounts of geospatial data.
Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas
Nº de artículo: 47414486

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas

Nº de artículo: 47414486

USD 70

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Integrating Python into your day-to-day ArcGIS work is highly recommended when dealing with large amounts of geospatial data.
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What Stands Out

ArcPy Integration
Seamlessly automate cartography and spatial analysis with ArcPy, streamlining workflows in ArcGIS Pro and enhancing productivity for GIS professionals.
Data Analysis Tools
Leverage powerful data manipulation capabilities using pandas for efficient data analysis, empowering users to uncover insights from geospatial data effortlessly.
Python API Utilization
Utilize the ArcGIS API for Python to enhance interactive mapping and analysis experiences, facilitating advanced geospatial workflows tailored to various user needs.

Detalles de producto

Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas
  • Extend your ArcGIS expertise by unlocking the world of Python programming. A fully hands-on guide that takes you through exercise after exercise using real data and real problems. NOTE: This book is compatible with ArcGIS Pro 2.9.Key FeaturesLearn the core components of the two Python modules for ArcGIS: ArcPy and ArcGIS API for PythonUse ArcPy, pandas, NumPy, and ArcGIS in ArcGIS Pro Notebooks to manage and analyze geospatial data at scaleIntegrate with ArcGIS Online using Python to publish and manage dataBook DescriptionIntegrating Python into your day-to-day ArcGIS work is highly recommended when dealing with large amounts of geospatial data. Python for ArcGIS Pro aims to help you get your work done faster, with greater repeatability and higher confidence in your results.Starting from programming basics and building in complexity, two experienced ArcGIS professionals-turned-Python programmers teach you how to incorporate scripting at each step: automating the production of maps for print, managing data between ArcGIS Pro and ArcGIS Online, creating custom script tools for sharing, and then running data analysis and visualization on top of the ArcGIS geospatial library, all using Python.You'll use ArcGIS Pro Notebooks to explore and analyze geospatial data, and write data engineering scripts to manage ongoing data processing and data transfers. This exercise-based book also includes three rich real-world case studies, giving you an opportunity to apply and extend the concepts you studied earlier.Irrespective of your expertise level with Esri software or the Python language, you'll benefit from this book's hands-on approach, which takes you through the major uses of Python for ArcGIS Pro to boost your ArcGIS productivity.What you will learnAutomate map production to make and edit maps at scale, cutting down on repetitive tasksPublish map layer data to ArcGIS OnlineAutomate data updates using the ArcPy Data Access module and cursorsTurn your scripts into script tools for ArcGIS ProLearn how to manage data on ArcGIS OnlineQuery, edit, and append to feature layers and create symbology with renderers and colorizersApply pandas and NumPy to raster and vector analysisLearn new tricks to manage data for entire cities or large companiesWho this book is forThis book is ideal for anyone looking to add Python to their ArcGIS Pro workflows, even if you have no prior experience with programming. This includes ArcGIS professionals, intermediate ArcGIS Pro users, ArcGIS Pro power users, students, and people who want to move from being a GIS Technician to GIS Analyst; GIS Analyst to GIS Programmer; or GIS Developer/Programmer to a GIS Architect. Basic familiarity with geospatial/GIS syntax, ArcGIS, and data science (pandas) is helpful, though not necessary.Table of ContentsIntroduction to Python for GISBasics of ArcPyArcGIS API for PythonThe Data Access Module and Cursors Publishing to ArcGIS OnlineArcToolbox Script ToolsAutomated Map ProductionPandas, Data Frames, and Vector DataRaster Analysis with PythonGeospatial Data Processing with NumPyCase Study: ArcGIS Online Administration and Data ManagementCase Study: Advanced Map AutomationCase Study: Predicting Crop Yields
Publisher Packt Publishing
Publication date April 29, 2022
Language English
Print length 586 pages
ISBN-10 1803241667
ISBN-13 978-1803241661
Item Weight 2.19 pounds (990 grams)
Dimensions 7.5 x 1.32 x 9.25 inches (19.1 x 3.4 x 23.5 cm)

Who Should Buy?

Suitable For
  • GIS Professionals

    Ideal for GIS experts needing automation tools for mapping and data processing tasks in ArcGIS Pro.

  • Data Scientists

    Beneficial for data scientists who want to integrate spatial analysis capabilities with Python libraries like pandas.

  • Students and Educators

    Great resource for students learning GIS techniques and educators teaching automation in geospatial applications.

Not Suitable For
  • Beginners in Python

    Not suitable for those new to Python as it requires foundational programming skills and GIS knowledge.

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Remote Sensing & GIS Editorial Review

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  • ubuy El Salvador

The book "Python for ArcGIS Pro: Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas" received overwhelmingly negative feedback from readers. One reviewer pointed out that the GitHub code did not match the content of the book, leading to varying errors. Additionally, the descriptive text was poorly written, and the book's poor quality was evident through thin paper and bad binding, resulting in pages falling out. Another reviewer expressed frustration with code errors and inConsistencies, noting that they had to spend hours trying to fix the code. The accompanying downloadable data also presented issues, with notebooks containing code that did not match the text. Furthermore, there was disappointment with the unavailability of the authors for questions, despite their initial claim. In summary, the book was described as horrible and in dire need of editing.

Customer Reviews & Ratings

4.6
70 valoraciones de los clientes
  • 5 estrella
    73%
  • 4 estrella
    20%
  • 3 estrella
    4%
  • 2 estrella
    2%
  • 1 estrella
    1%

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ventajas

  • The scripting and examples offered some positive aspects to the content.

Contras

  • InConsistent and erroneous GitHub code

Product Price History

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