![]() ![]() For this I think there is little dispute so I leave it to you to decide if Xojo is a BASIC or not. The best way to describe Xojo to someone unfamiliar is a “modern event-oriented cross platform alternative to Visual Basic 6”. The company and language were renamed to Xojo and now share only a common syntax. When REALbasic was ready to launch a new aesthetic for their IDE it was time to disassociate further from BASIC. ![]() Visual Basic despite its popularity was always seen as the ugly step child of the Visual Studio family and today is seemingly neglected by Microsoft. That may be true from a certain point of view as Xojo is most comparable to Visual Basic. Xojo is very cautious to embrace their BASIC beginnings and always asserts that the languages only share a common heritage. The CEO of Xojo Geoff Perlman has said that if a user associated Xojo with the original BASIC then that would be a “wildly inaccurate association”. Xojo is without a doubt a derivative of the BASIC family of programming languages. Hope you enjoyed it.This is the first part of a multi-part review series on the Xojo programming language, environment, framework, add-ons, community, and more. Not only are we able to modify the values in the dictionary, but we can also insert new elements! PYTEST 9 > (setf (gethash “c” table) 123) This means we can access the Python dictionary elements as hashtable elements in Lisp. PYTEST 34 > (setf table (run “dict = ”))Īs you would have guessed, CLPython converts this to a hashtable in Lisp. The last feature we will look at is Python Dictionary. We can use aref to access the individual elements of the vector. ![]() Python lists can be accessed as vectors in Lisp. What sbout Python functions that return multiple values? CLPython makes the result available as a list. PYTEST 32 > (funcall (run “lambda x: x * x”) 50) You can do the same thing on a Python lambda too. The other neat thing is that we can call the generated Python function as if it is a Lisp function! That is, the argument supplied to test2 is embedded in the generated Python function! So, for instance, the following call:Īctually defines the following Python function: The interesting thing about the above Lisp function is that it creates a Python function to make use of the argument supplied to it. Let us define a Python function dynamically. Note that if we had not initialized the default habitat, the variable x would not have been shared across the two different run statements. This is what you get when you run this function: The following function assigns to a variable and modifies it: We can execute any Python code by enclosing it in double quotes and passing it to the Lisp function run. ![]() Although this is strictly not necessary, I felt that the interaction would be a bit tedious without it. The first thing I did was to create a habitat – a runtime environment within which expression values are saved across Python calls. You can install CLPython through Quicklisp:įor convenience, I created a package and imported symbols from this and standard packages. In today’s post, I would like to show some examples of this implementation. In fact it worked pretty well with both Allegro CL and LispWorks. Although CLPython is not under active development now, I found it quite usable. Sometime ago I got a chance to experiment with CLPython, an open-source implementation of Python in Common Lisp. My work in the area of NLP requires me to work with several frameworks across multiple languages such as Java, Python and Lisp. ![]()
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