Algorithms / Data Structure | Professional literature for training, studies and practice

In the Algorithms / Data Structures category, you will find foundational and application-oriented literature on key concepts in computer science. The titles cover topics such as algorithm design, data structures, complexity theory, image processing, AI techniques, blockchain, semantic technologies, and distributed systems. The target audience includes students, engineers, developers, and professionals in medicine, technology, and data science who require practical or theoretical foundations.

Typical types of works include introductions, textbooks, exercise books, and manuals with application examples, such as those for Excel/VBA, Python, or medical systems. The books provide both foundational knowledge and in-depth methods for the development, analysis, and implementation of algorithms across various fields.