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Books > Computing & IT > General theory of computing > Data structures
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Data Structures & Algorithms in Python (Paperback)
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Data Structures & Algorithms in Python (Paperback)
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LEARN HOW TO USE DATA STRUCTURES IN WRITING HIGH PERFORMANCE PYTHON
PROGRAMS AND ALGORITHMS This practical introduction to data
structures and algorithms can help every programmer who wants to
write more efficient software. Building on Robert Lafore's
legendary Java-based guide, this book helps you understand exactly
how data structures and algorithms operate. You'll learn how to
efficiently apply them with the enormously popular Python language
and scale your code to handle today's big data challenges.
Throughout, the authors focus on real-world examples, communicate
key ideas with intuitive, interactive visualizations, and limit
complexity and math to what you need to improve performance.
Step-by-step, they introduce arrays, sorting, stacks, queues,
linked lists, recursion, binary trees, 2-3-4 trees, hash tables,
spatial data structures, graphs, and more. Their code examples and
illustrations are so clear, you can understand them even if you're
a near-beginner, or your experience is with other procedural or
object-oriented languages. Build core computer science skills that
take you beyond merely "writing code" Learn how data structures
make programs (and programmers) more efficient See how data
organization and algorithms affect how much you can do with
today's, and tomorrow's, computing resources Develop data structure
implementation skills you can use in any language Choose the best
data structure(s) and algorithms for each programming problem-and
recognize which ones to avoid Data Structures & Algorithms in
Python is packed with examples, review questions, individual and
team exercises, thought experiments, and longer programming
projects. It's ideal for both self-study and classroom settings,
and either as a primary text or as a complement to a more formal
presentation.
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