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  3. www.pyopensci.org › blog › automataautomata: Simulation and manipulation - pyOpenSci

    Jul 10, 2024 · automata is a package implementing structures and algorithms for manipulating finite automata, pushdown automata, and Turing machines, that was recently accepted into the pyOpenSci ecosystem.

  4. pypi.org › project › automata-libautomata-lib · PyPI

    Jun 29, 2024 · Automata is a Python 3 library implementing structures and algorithms for manipulating finite automata, pushdown automata, and Turing machines. The algorithms have been optimized and are capable of processing large inputs.

  5. www.geeksforgeeks.org › theory-of-computationAutomata Tutorial - GeeksforGeeks

    Aug 20, 2024 · In this Automata Tutorial, you’ll learn all the basic to advanced topics like Regular languages and finite automata, Context free Grammar and Context-free language, turning machines, etc.

  6. medium.com › swlh › automata-theory-in-python-part-1Automata Theory in Python : (Part 1 ... - Medium

    Jun 6, 2020 · Learn what is Automata Theory. Learn about Finite State Machines (FSM) and more specifically Deterministic Finite Automata (DFA). Learn how to implement DFA in Python using Object Oriented ...

  7. caleb531.github.io › automataAutomata - Automata - caleb531.github.io

    Automata is a Python 3 library implementing structures and algorithms for manipulating finite automata, pushdown automata, and Turing machines. The algorithms have been optimized and are capable of processing large inputs. Visualization logic has also been implemented.

  8. matplotlib.org › elementary-cellular-automataElementary Cellular Automata · Matplotblog

    Jul 14, 2020 · Class Four. Cellular automata which form areas of repetitive or stable states, but also form structures that interact with each other in complicated ways. _ =

  9. github.com › DES-Lab › AALpyAn Automata Learning Library Written in Python - GitHub

    AALpy supports both active and passive automata learning algorithms that can be used to learn a variety of modeling formalisms, including deterministic, non-deterministic, and stochastic automata, as well as deterministic context-free grammars/pushdown automata.

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