VS Code VS ArcGIS API for Python
Compare VS Code VS ArcGIS API for Python and see what are their differences
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VS Code
Sublime Text
Vim
Node.js
Notepad++
Microsoft Visual Studio
GitHub
IntelliJ IDEA
ArcGIS API for Python
Django
Flask
Tornado
CherryPy
Bottle
web2py
TurboGears
VS Code ArcGIS API for PythonBased on our record, VS Code seems to be a lot more popular than ArcGIS API for Python. While we know about 1215 links to VS Code, we've tracked only 6 mentions of ArcGIS API for Python. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / about 2 months ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 2 months ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / 3 months ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / 3 months ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / 3 months ago
If it were me, I'd start with Geotab's developer api for programmatically tapping into the feeds of near real time vehicle movement, combined with ESRI's python api for creating and updating feature services on Arconline. I bet you could get near real time if you run the updates fairly frequently, like maybe once or twice a minute, depending on your needs. Source: over 3 years ago
If you are used to Python and Jupyter Notebooks, you should definately get your hands dirty with https://developers.arcgis.com/python/. Source: over 3 years ago
Have you looked at ArcGIS API for Python? It's not the same as arcpy, but used more for working with Esri's portals. Source: over 3 years ago
We are very heavy into using the ESRI suite of tools and which languages I use depend heavily on the project I am working on. I would say I mostly use Python, but mainly with the ArGIS API for Python, not arcpy. I do use quite a bit of javascript to develop UIs for widgets as well, but that is not anywhere near as common. Source: about 4 years ago
Once you have your foundation, then https://developers.arcgis.com/python/ and https://developers.arcgis.com/documentation/arcgis-add-ins-and-automation/arcpy/ become much easier to understand. Also be aware that you can run Geoprocessing Tools in ArcGIS Desktop and in the Geoprocessing History, copy out the Python snippets to add to your code and automate. Source: about 4 years ago
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Django - The Web framework for perfectionists with deadlines
Vim - Highly configurable text editor built to enable efficient text editing
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Tornado - A Python web framework and asynchronous networking library, originally developed at FriendFeed