We're still working on our article for Non-Primitive Data Types. Please check back soon for more information.
4ys0x4|
Find a path to becoming a Non-Primitive Data Types. Learn more at:
OpenCourser.com/topic/4ys0x4/non
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Non-Primitive Data Types.
Comprehensive introduction to algorithms. It covers a wide range of topics, including algorithm design techniques, asymptotic analysis, data structures, and graph algorithms. The book is written in a clear and concise style and is suitable for both undergraduate and graduate students.
Provides a practical guide to algorithm design. It covers a wide range of topics, including greedy algorithms, divide-and-conquer algorithms, dynamic programming, and network flow algorithms. The book is written in a clear and concise style and is suitable for both undergraduate and graduate students.
Comprehensive introduction to data structures in C language. It covers a wide range of topics, including arrays, linked lists, stacks, queues, trees, and graphs. The book is written in a clear and concise style and is suitable for both undergraduate and graduate students.
Provides a comprehensive overview of data structures and algorithms in Java. It covers a wide range of topics, including arrays, linked lists, stacks, queues, trees, and graphs. The book also discusses algorithm analysis, sorting, and searching techniques.
Introduces data structures and algorithms in Python. It covers a wide range of topics, including lists, stacks, queues, trees, and graphs. The book also discusses algorithm analysis, sorting, and searching techniques.
Comprehensive introduction to data structures and algorithms in Java. It covers a wide range of topics, including arrays, linked lists, stacks, queues, trees, and graphs. The book is written in a clear and concise style and is suitable for both undergraduate and graduate students.
Comprehensive introduction to data structures and algorithms in Python. It covers a wide range of topics, including arrays, linked lists, stacks, queues, trees, and graphs. The book is written in a clear and concise style and is suitable for both undergraduate and graduate students.
Comprehensive introduction to programming in JavaScript. It covers a wide range of topics, including data structures, algorithms, and object-oriented programming. The book is written in a clear and concise style and is suitable for both beginners and experienced programmers.
Introduces data structures and algorithms in JavaScript. It covers a wide range of topics, including arrays, linked lists, stacks, queues, trees, and graphs. The book also discusses algorithm analysis, sorting, and searching techniques.
Introduces data structures and algorithm analysis in C++. It covers a wide range of topics, including arrays, linked lists, stacks, queues, trees, and graphs. The book also discusses algorithm analysis, sorting, and searching techniques.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/4ys0x4/non
Save
