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1. (experts-only alternative) Install miniconda instead of the GUI version. While there are direct download versions, you would typically use a package manager (e.g., brew on macOS, apt on Ubuntu).
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**Note:** If you have a new Apple Silicon Mac, the easiest thing to do is to follow the instructions above, which will install Anaconda using Rosetta 2 (see this [Anaconda blog post](https://www.anaconda.com/blog/apple-silicon-transition)). They're fantastic computers, though this is one area where the native software is taking a bit to catch up.
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**Note:** If you have a new Apple Silicon Mac, the easiest thing to do is to follow the instructions above, which will install Anaconda using Rosetta 2 (see this [Anaconda blog post](https://www.anaconda.com/blog/apple-silicon-transition)). There is a native version available, though it does not yet have the Anaconda Navigator graphical user interface. That omission is fine once you know your way around, but it's helpful for learning.
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### Importing the Anaconda environment
@@ -85,8 +85,8 @@ If you encounter issues, get as far as you can, and we will work through them in
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1. On the left, click Environment.
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1. At the bottom of the resulting main window, click Import.
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1. In the resulting popup, click the folder icon, navigate to the `environment.yml` file, and click Open.
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1. Back in the import popup, the environment name should be filled in automatically from the file, `carmapy` in this case. Click Import.
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1. Wait for the packages for the environment to be downloaded and installed. This could take a few minutes.
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1. Back in the import popup, the environment name should be filled in automatically from the file, `carmapy` in this case. If not, the default is `environment`, and you can replace that with `carmapy`. Click Import.
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1. Wait for the packages for the environment to be downloaded and installed. This could take a several minutes.
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### Install TextBlob text corpora
@@ -111,6 +111,16 @@ You can run the notebook that we will use in the first session as a test of whet
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1. The notebook should run quickly, and you should not see errors. Note: the single most common issue with any import errors at the top is that you have not selected the environment in step 3 above. You need to do that before launching Jupyter Lab, and a subsequent change will not affect the already--running Jupyter Lab.
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### (optional) Install VS Code
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I will generally do walkthroughs using VS Code for notebooks instead of the Jupyter Lab interface.
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VS Code is an open-source programming text editor platform, developed principally by Microsoft, that works with many languages (including Python and R), and it has nice built-in Jupyter Notebook support.
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There are a number of conveniences that come with using Jupyter this way, so I suggest installing and using it instead of the web interface.
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1. Download and install [VS Code](https://code.visualstudio.com).\
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1. (optional) As time permits, do the built-in "Get Started with VS Code" walkthrough. It will give you an introduction to some of the nice features and customizability of VS Code.
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## About Jason
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Jason T. Kiley is an Assistant Professor at Clemson University.
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