BOOKS - Алгоритмы и структуры данных на Python
Алгоритмы и структуры данных на Python - Cuantum Technologies 2025 PDF Питер BOOKS
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Алгоритмы и структуры данных на Python
Author: Cuantum Technologies
Year: 2025
Pages: 369
Format: PDF
File size: 10.1 MB
Language: RU



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The book covers the basics of programming, data structures, algorithms, and more advanced topics such as machine learning and web development. Book Description: "Algorithms and Data Structures in Python" is a comprehensive guide for those who want to learn programming on the Python language and create algorithms and data structures. The book covers the basics of programming, data structures, algorithms, and more advanced topics such as machine learning and web development. The book begins with an introduction to programming concepts, including variables, loops, and functions. It then delves into the fundamentals of data structures, such as lists, tuples, and dictionaries, and explores how to use them effectively in Python. The next section covers algorithms, including sorting, searching, and graph traversal, and how they can be applied to real-world problems. The book also discusses more advanced topics such as machine learning and web development, providing readers with a solid understanding of how to use Python for complex tasks.
Книга охватывает основы программирования, структуры данных, алгоритмы и более продвинутые темы, такие как машинное обучение и веб-разработка. «Algorithms and Data Structures in Python» - всеобъемлющее руководство для тех, кто хочет изучать программирование на языке Python и создавать алгоритмы и структуры данных. Книга охватывает основы программирования, структуры данных, алгоритмы и более продвинутые темы, такие как машинное обучение и веб-разработка. Книга начинается с введения в понятия программирования, включая переменные, циклы и функции. Затем он углубляется в основы структур данных, таких как списки, кортежи и словари, и исследует, как эффективно использовать их в Python. В следующем разделе рассматриваются алгоритмы, включая сортировку, поиск и обход графов, а также способы их применения к реальным задачам. В книге также обсуждаются более продвинутые темы, такие как машинное обучение и веб-разработка, предоставляя читателям твердое понимание того, как использовать Python для сложных задач.
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