<jupyter_start><jupyter_text>Fast Trees> Cute little python module that sits atop the tree-sitter library to provide an easier to use and cleaner interface for interacting with source code  Install `fast-trees` requires git to be installed on your system for downloading the different `tree-sitter` languages. So, make sure it is installed before using `fast-trees`. See [here](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) for instruction on installing git.To install `fast-trees`, simply run:`pip install fast-trees`  How to use Easily work with source code data by using the high level API. Here's how you can grab the parameters of a java method:<jupyter_code>mthd = """public static void main(String[] args, Object clazz) {
    // This is a test
    System.out.println(args[0]);
    /**
        This is another test!
    */
}
"""
parser = FastParser("java")
print(parser.get_method_parameters(mthd))<jupyter_output>Downloading repo https://github.com/tree-sitter/tree-sitter-java to /home/nathan/projects/other/fast_trees/fast_trees/tree-sitter-java.
['args', 'clazz']<jupyter_text>And here is how you can grab all of the inline comments:<jupyter_code>inline_comments = parser.get_method_inline_comments(mthd)
for c in inline_comments:
    print(c)<jupyter_output>// This is a test
/**
        This is another test!
    */
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