Miniforge will automatically use the community-maintained Conda-Forge repository, which has a much wider variety of packages and is generally more up to date than the Anaconda equivalent, in addition to being free of any commercial restrictions. Then, simply install the packages you need (including Spyder, if you aren’t using our recommended Standalone installers) with conda as you usually do. Instead, you can simply download the similar Miniforge distribution, which is 100% open source and identical to full Anaconda (aside from not bundling the Python packages installed by default in the Anaconda base environment, which we recommend you avoid using anyway given any problems here can break your whole installation). For example, the following will create a Python installation with Python version 2.7 and NumPy version 1.16: conda create -n local python2.7 numpy1.16.
Specific versions can be specified by adding However, these terms only apply to the package infrastructure (the full Anaconda distribution and the defaults conda channel). By default, conda will install the newest versions of the packages it can find. The selected conda environment will be reused for the current project.If you use Spyder with the Anaconda distribution, they recently changed their Terms of Service to add restrictions on large (> 200 employee) for-profit companies using Anaconda on a large scale. Otherwise, specify the location of the conda executable, or click to browse for it.Ĭhoose the desired environment from the list. Normally, DataSpell will detect conda installation.
The following actions depend on whether you want to create a new conda environment or to use an existing one. In the left-hand pane of the Add Python Interpreter dialog, select Conda Environment. In the context menu of an attached directory, select Interpreter. Click the Add Interpreter link next to the list of the available interpreters. Click the Add Interpreter link next to the list of the available interpreters.Ĭlick the Python Interpreter selector and choose Interpreter Settings. Press Ctrl+Alt+S to open Settings and go to Project: workspace | Python Interpreter. Refer to the installation instructions for more details. Create a conda environmentĮnsure that Anaconda or Miniconda is downloaded and installed on your computer, and you're aware of a path to its executable file.
Use the platform switcher at the top of this page to view shortcuts specific to your operating system. The following procedure applies to all supported operating systems. DataSpell supports creating virtual environments for Python with Conda.
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