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Managing python environments with Command Prompt
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Conda would then have access to the arcgis install and any package updates. One thing to note is that if you want to install the ArcGIS API for Python arcgis package in Anaconda, you would need to add the Esri Channel to Anaconda.
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Additionally, you can install, uninstall, and update packages. In Anaconda, the interface allows you to create, clone, import, and switch environments. To access conda functionality, you can use Anaconda, ArcGIS Pro, or the command prompt.
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There is a reduced chance that software will be affected, as users are no longer changing Python paths.Different programs can use different Python environments.Users never have to change the system environments.Does not have automatic or managed updates of packages this can break package interdependencies.Means package installation depends on the user.Requires users to know what environments they have and where they are.Can result in software issues, particularly if you have multiple programs using Python and multiple installs of Python.Requires the user to know what they are doing when modifying path variables.There are some problems with this workflow. You would need to do this every time you change environments. To switch between different Python environments, you would need to either point each script individually to the correct environment or change the environmental variables (PATH or PYTHONPATH) that tell the computer where to look for the python.exe file. In the past, before conda, switching between different Python environments was challenging. How do you ensure that the script or IDE you are working with knows which version of Python to use? Python installs on a computer with ArcMap and ArcGIS Pro Even if you didn’t manually install two versions of Python, you already have two different Python environments. This is particularly helpful when working with both ArcMap and ArcGIS Pro. This allows you to have different package combinations, which can be useful when handling conflicting package interdependencies (for example, two different packages may be using different versions of a third package). You can also switch which environment ArcGIS Pro uses. On the other hand, when you install ArcGIS Pro with Miniconda, a default Python environment called arcgispro-p圓 will be created in the C:\Program Files\ArcGIS\Pro\bin\Python\envs folder, but you can have as many different environments as you want.
![anaconda prompt commands anaconda prompt commands](https://nw.tsuda.ac.jp/lec/python/anaconda/conda/command-prompt01.png)
This is the only environment you can use with ArcMap and the ArcMap version of arcpy. If you install ArcMap, the Python 2.7 environment is created in the C:\Python27\ArcGISXX folder by default.
![anaconda prompt commands anaconda prompt commands](https://ewirzo.rc-world.nl/templates/f16dc396e088c7c707eabe9d7479e7a2/img/5badab2cacb024657362ae9d4f208e78.jpg)
What do I mean by that? Simply, a “Python environment” is a folder on a computer that includes all the necessary files for running Python and any packages. Now, I keep talking about managing environments. Miniconda is installed with ArcGIS Pro although users will never interact directly with Miniconda, as it runs in the background of ArcGIS Pro.ĭifferences between conda, Miniconda, and Anaconda Miniconda includes conda and the base install of Python, while Anaconda includes conda, the base install, an additional 150 modules, and a user interface. There is also a level of bundling between conda and Anancoda called Miniconda. Thus, conda sits at the core of Anaconda and drives much of its functionality. For example, if arcpy requires a specific version of numpy, conda will make sure that you do not update numpy past that version. Additionally, conda allows you to manage packages within each environment, ensures you have the most recent packages, and keeps track of package interdependence.
![anaconda prompt commands anaconda prompt commands](https://user-images.githubusercontent.com/82003215/185440783-85d8fa78-ed89-4e9b-ab15-5d4b06258b46.png)
Conda is also a back-end program that leverages and allows other programs, such as Anaconda and Pro, to manage multiple environments.
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Now that we have a grasp of what the ArcGIS Python API is based on the first part of this blog post, let’s turn to the best practices for installing and using the API, particularly within other software products, such as ArcGIS Pro and Jupyter Notebooks.įirst, we need to take a slight detour into Anaconda, conda, and how they relate to ArcGIS Pro and the ArcGIS API for Python.Īnaconda is a free and open source software package that bundles a Python install and a series of Python packages together with a user interface, allowing users to manage Python environments and packages.Īnaconda also includes conda, which is a package management and environment management system.