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The ‘Estruturas de Dados com Python’ course on Coursera offers an in-depth exploration of essential data structures using Python, ideal for learners seeking to strengthen their understanding of algorithms and system design. Led by a seasoned software developer and higher education professor with a doctorate in computational intelligence, the course combines theoretical foundations, detailed code analysis, practical exercises, and real-world case discussions.
What sets this course apart is its thorough approach, delving beyond superficial examples to cover fundamental concepts such as the importance of data structures in algorithm execution. It begins with basic structures like vectors, stacks, queues, and deques, before progressing to linked lists, circular linked lists, and hash tables. The course then ventures into advanced topics, including various tree structures (binary, AVL, B-trees, B+ trees, and N-ary trees) and graph theory.
Sorting algorithms such as Bubble Sort, Insertion Sort, Selection Sort, Merge Sort, and Quick Sort are analyzed both theoretically and through practical implementation. Additionally, the course explains search techniques like binary search and introduces Python’s built-in data structures like sets and dictionaries.
This course is highly recommended for software developers, computer science students, and tech professionals who want a solid, practical understanding of data structures in Python. Its comprehensive content, expert instruction, and emphasis on deep learning make it a valuable investment for professional growth and academic excellence.
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