{"product_id":"data-structures-and-algorithms-in-python","title":"Data Structures and Algorithms in Python","description":"\u003cp\u003eThis all-new \u003ci\u003eData Structures and Algorithms in Python\u003c\/i\u003e is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors take advantage of the beauty and simplicity of Python to present executable source code that is clear and concise. Furthermore, a consistent object-oriented viewpoint is retained throughout the book, including the use of inheritance, both to maximize code reuse and to draw attention to the clear similarities and differences of various abstract data types and algorithmic approaches.\u003c\/p\u003e \u003cp\u003eThis is a “sister” book to Goodrich \u0026amp; Tamassia’s \u003ci\u003eData Structures and Algorithms in Java\u003c\/i\u003e and Goodrich, Tamassia and Mount’s \u003ci\u003eData Structures and Algorithms in C++\u003c\/i\u003e. This Python version retains much of the same pedagogical approach and general structure as the Java and C++ versions, so that curriculums that teach data structures in Python, Java, and C++ can share the same core syllabus.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eKey Features of this Book\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA primer that reviews the basics of programming in Python (Chapter 1), followed by a separate introduction to \u003ci\u003eobject-oriented\u003c\/i\u003e programming in Python (Chapter 2).\u003c\/li\u003e \u003cli\u003eExtensive coverage of recursion (Chapter 4).\u003c\/li\u003e \u003cli\u003eA chapter describing the array-based underpinnings of Python’s standard list, string, and tuple classes (Chapter 5), including both theoretical and empirical analyses of their efficiencies.\u003c\/li\u003e \u003cli\u003eSource code with complete implementations of the majority of data structures and algorithms described in the book; the code follows modern standards for Python 3, and makes use of the standard collections module.\u003c\/li\u003e \u003cli\u003e500 illustrations that present data structures and algorithms in a clear, visual manner.\u003c\/li\u003e \u003cli\u003eMore than 750 exercises, divided into categories of reinforcement, creativity, and projects.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cb\u003eAbout the cover:\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe cover art is based on an indigenous Australian painting style portraying what is known as Dreamtime. This style is traditionally iconic and representative of connections between points of interest or concepts; hence, it is a fitting way to capture at a high level the connections and points of interest used to visualize data structures and algorithms.\u003c\/p\u003e","brand":"Michael H. Goldwasser","offers":[{"title":"Default Title","offer_id":42849114718269,"sku":"9781118290279","price":197.96,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0597\/7689\/2989\/files\/9781118290279_67b684ec-5314-48b8-a2a3-0049522195b0.jpg?v=1766994293","url":"https:\/\/www.palmleaf.com.au\/products\/data-structures-and-algorithms-in-python","provider":"Palmleaf","version":"1.0","type":"link"}