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Programming ArcGIS 10.1 with Python Cookbook, by Eric Pimpler
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This book provides the recipes you need to use Python with AcrGIS for more effective geoprocessing. Shortcuts, scripts, tools, and customizations put you in the driving seat and can dramatically speed up your workflow.
Overview
- Learn how to create geoprocessing scripts with ArcPy
- Customize and modify ArcGIS with Python.
- Create time-saving tools and scripts for ArcGIS.
In Detail
ArcGIS is an industry standard geographic information system from ESRI.
This book will show you how to use the Python programming language to create geoprocessing scripts, tools, and shortcuts for the ArcGIS Desktop environment.
This book will make you a more effective and efficient GIS professional by showing you how to use the Python programming language with ArcGIS Desktop to automate geoprocessing tasks, manage map documents and layers, find and fix broken data links, edit data in feature classes and tables, and much more.
"Programming ArcGIS 10.1 with Python Cookbook" starts by covering fundamental Python programming concepts in an ArcGIS Desktop context. Using a how-to instruction style you’ll then learn how to use Python to automate common important ArcGIS geoprocessing tasks.
In this book you will also cover specific ArcGIS scripting topics which will help save you time and effort when working with ArcGIS. Topics include managing map document files, automating map production and printing, finding and fixing broken data sources, creating custom geoprocessing tools, and working with feature classes and tables, among others.
In "Python ArcGIS 10.1 Programming Cookbook" you’ll learn how to write geoprocessing scripts using a pragmatic approach designed around an approach of accomplishing specific tasks in a Cookbook style format.
What you will learn from this book
- Fundamental Python programming skills.
- Update layer properties and symbology.
- Automate map production, printing, and the creation of PDF map books.
- Find and fix broken data links in your map document files.
- Create custom geoprocessing tools that can be shared with others.
- Schedule your geoprocessing scripts to run after hours.
- Create new feature classes or tables and add records, as well as edit feature classes and tables.
- Customize the ArcGIS Desktop interface with Python add-ons.
Approach
This book is written in a helpful, practical style with numerous hands-on recipes and chapters to help you save time and effort by using Python to power ArcGIS to create shortcuts, scripts, tools, and customizations.
Who this book is written for
"Programming ArcGIS 10.1 with Python Cookbook" is written for GIS professionals who wish to revolutionize their ArcGIS workflow with Python. Basic Python or programming knowledge is essential(?)
- Sales Rank: #1282284 in Books
- Published on: 2013-02-22
- Released on: 2013-02-22
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .69" w x 7.50" l, 1.17 pounds
- Binding: Paperback
- 304 pages
About the Author
Eric Pimpler
Eric Pimpler is the founder and owner of GeoSpatial Training Services (geospatialtraining.com) and has over 20 years of experience in implementing and teaching GIS solutions using ESRI technology. Currently, Eric focuses on ArcGIS scripting with Python, and the development of custom ArcGIS Server web and mobile applications using JavaScript.
Eric has a Bachelor’s degree in Geography from Texas A&M University and a Master's of Applied Geography degree with a concentration in GIS from Texas State University.
Most helpful customer reviews
10 of 11 people found the following review helpful.
Extremely Practical and Intuitive
By happy with books
I agree that the "cookbook" part of the title is a bit of a misnomer. However, it does include very helpful scripts which take advantage of ArcGIS 10 features.
What I find most useful is the fact that the organization of the book takes a building block approach which is helpful for someone who may need to get started, and equally so for someone who would like to simply pinpoint and extract what they want and need.
Here are some of the useful features:
* automated map production and printing: can automate the production of map production and printing (including exporting PDFs), which is helpful when creating a set of maps or map files.
* quickly using geoprocessing tools: this is a quick way to increase functionality and power without having to do everything separately; application-level environment settings are utilized quite helpfully as well.
* creating custom tools: the example shows how to filter the data for North American wildfires -- it's a useful example; I think it might be even more helpful to list some of the common sources of data and practice importing them and working with them by developing additional custom tools.
* working with attribute and spatial queries: I think it would have been good to go into a bit more detail about how / why syntax decisions are made, and to discuss the logic, the flow, and the structure; after all, mind and the mental processes are where clean code begins and ends. That said, the section discusses how Python interprets the queries and how / when it matters where a string is placed. The examples are clear, but I always need lots of examples, so I would have welcomed even more examples, but that would perhaps confuse some users, so I concluded that the book hit the right balance.
* for the more adventurous, the book includes how to use the add-in wizard. I have always been a bit leery of add-ins, believing (perhaps superstitiously) that they will create conflicts, and unleash a small troop of gremlins. This chapter shows how / where to place an add-in in a folder that is easily discoverable by ArcGIS Desktop. This is probably the key to having the thing work, and it solves a small mystery of why add-ins sometimes do not work.
In sum, I'd like to say that I find the book to be very clear, well-organized, and helpful. It's likely to have a nice, long shelf life as well.
22 of 27 people found the following review helpful.
Extremely basic
By NT
This book is an extremely basic introduction to the ArcGIS 10.1 ArcPy module, with a few minor additions whose link to ArcGIS (or to GIS at all) is tenuous (sending emails? Really? And the first chapter is a generic intro to python, better covered in dozens of other dedicated resources). The "recipes" are almost all single ArcPy methods demonstrated; those seeking interesting problems and novel solutions (like the aging, but excellent "Python Cookbook") will be sorely disappointed. No real-world problems are discussed - the output from many (most?) recipes is print statements, hardly useful for much more than toy problems.
On the plus side, the examples are clearer and more consistent in style than many of ESRI's own, particularly with the consistent use of the "with" statement that leads to much clearer and easier to debug code. But the chosen book structure makes several sections highly repetitive - a method is demostrated in one recipe, and then the next virtually repeats the entire thing to add an SQL query.
There's also some questionable advice, like explicitly telling readers to issue "import arcpy" even in the ArcMap python console "as a good habit"; perhaps it would be good to understand the context in which you're issuing commands? The dumb insistance on this does allow the author to pad out each and every example though, because he includes it even when it's entirely un-needed. And this is not the only use of unnecessary/pointless import statements - many recipes import the "os" module and then never use it, which is hardly good style (though to be fair, ESRI documentation and training teaches similar crappy habits).
If you're looking for interesting problems with practical solutions and a deep discussion of alternatives (like the "Python Cookbook") you'll be very disappointed. If this is a cookbook, it's of the "cheese on toast" variety. Only worth it for the absolute beginner - even as someone who'd never used 10.1 before, though who has a reasonable amount of experience with python and previous ArcGIS versions, I learned more from 5 minutes with the help files. Money wasted.
5 of 5 people found the following review helpful.
Errata galore and very basic
By Epilady
If you're an ArcGIS user looking to expand your skillset, you'll probably end up purchasing this book because there are not many other options out there. As someone new to Python but not new to programming, I was sorely disappointed with this book. If you are new to Python, do not start with this book, but with one of the O'Reilly (like Python Cookbook) versions. It will explain much more about the structure of Python, which is sorely missing in this intro book. The author sets you off on examples without explaining many of the fundamental basics. Python is highly sensitive to indents. Unfortunately, that is glossed over, which provided me a lot of difficulty in writing my independent Python code until I used another intro book.
Also extremely unfortunately, almost every example in this book has at least one errata, frequently in the indents. I found this quite frustrating and detrimental to my learning - I ended up spending a lot of time fiddling the the examples to get them to work, then trying to remember which change actually fixed the code. It didn't cover things like importing csv or XML data with headers, which is the majority of the data I see. It's a lot to expect that a novice Python programmer would figure out the correct code to import one line as the header, then the rest of the text as data. (thank you, Stack Overflow)
I also wish it had an appendix list of all the items that arcpy could call. That would've made it very useful, because I haven't found a resource like that, and usually end up doing a lot of hunting around in help and other user programs to find the element name that I need.
Most helpful was the section on layout design, assuming you want to publish to a png or pdf (or other image file). There is no instruction about how to generate mapbooks, georeferenced PDFs, or any sort of active layer that can easily be imported into an on-line system. Downloading data from a FTP site was also interesting, though you'd have to have a good sense of what was already contained in the data file before it would be a process that would be automated via Python.
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