\nimport ast \n\n# Creating AST\ncode = ast.parse("print(10+12)") \n# Printing AST\nprint(ast.dump(code))\n# Executing AST\nexec(compile(code, filename="", mode="exec"))\n<\/pre><\/div>\n\n\nOutput:<\/strong><\/p>\n\n\n\nModule(body=[Expr(value=Call(func=Name(id='print', ctx=Load()), args=[BinOp(left=Num(n=10), op=Add(), right=Num(n=12))], keywords=[]))])\n22<\/code><\/pre>\n\n\n\nExplanation<\/strong><\/h4>\n\n\n\nSo, in the above example, we can see that expression trees tell that we have to perform the Add() operation on two numbers that are saved in binary form and then show the output. <\/p>\n\n\n\n
<\/span>Example 4: Handling Multi-Operations in Python AST<\/span><\/h3>\n\n\n\nSo, till now, we have seen how a single component is distributed in AST. This example will show what happens if we specify more than one operation and how it is handled and distributed in AST. Let’s see.<\/p>\n\n\n
\nimport ast \n \ntree_ast = ast.parse(''' \nlocation = ['Agra', 'UP'] \nname = 'Taj Mahal' \n\nprint('{} is located in {},{}'.format(name, location[0],location[1])) \n''') \n \nprint(ast.dump(tree_ast))\n\nexec(compile(tree_ast, filename="", mode="exec"))\n<\/pre><\/div>\n\n\n Output:<\/strong> <\/p>\n\n\n\nModule(body=[Assign(targets=[Name(id='location', ctx=Store())], value=List(elts=[Str(s='Agra'), Str(s='UP')], ctx=Load())), Assign(targets=[Name(id='name', ctx=Store())], value=Str(s='Taj Mahal')), Expr(value=Call(func=Name(id='print', ctx=Load()), args=[Call(func=Attribute(value=Str(s='{} is located in {},{}'), attr='format', ctx=Load()), args=[Name(id='name', ctx=Load()), Subscript(value=Name(id='location', ctx=Load()), slice=Index(value=Num(n=0)), ctx=Load()), Subscript(value=Name(id='location', ctx=Load()), slice=Index(value=Num(n=1)), ctx=Load())], keywords=[])], keywords=[]))])\nTaj Mahal is located in Agra,UP\n<\/code><\/pre>\n\n\n\n