N. Malhotra – författare

A comprehensive guide to mastering data structures and program design using Python, perfect for self-learners and students alike.

Key Features

Hands-on exercises to reinforce learningComprehensive coverage of fundamental and advanced topicsPractical examples to apply concepts in real-world scenarios

Book Description

This book, part of the Pocket Primer series, introduces the basic concepts of data science using Python 3 and other applications. It offers a fast-paced introduction to data analytics, statistics, data visualization, linear algebra, and regular expressions. The book features numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available.Understanding data science is crucial in today''s data-driven world. This book provides a comprehensive introduction, covering key areas such as Python 3, data visualization, and statistical concepts. The practical code samples and hands-on approach make it ideal for beginners and those looking to enhance their skills.The journey begins with working with data, followed by an introduction to probability, statistics, and linear algebra. It then delves into Python, NumPy, Pandas, R, regular expressions, and SQL/NoSQL, concluding with data visualization techniques. This structured approach ensures a solid foundation in data science.

What you will learn

Understand the basics of data structuresLearn Python programming essentialsImplement and manipulate various data structuresAnalyze algorithms and their efficiencyLearn about arrays, trees, linked lists, stacks, etc.Apply data structures to solve real-world problems

Who this book is for

Ideal for students, self-learners, and programming enthusiasts, this book requires a basic understanding of programming concepts. No prior knowledge of Python is needed as the book covers Python essentials.

Comprehensive guide to data structures and programming design using C++. Learn with practical examples and detailed explanations.

Key Features

In-depth coverage of data structures in C++Practical examples and exercisesDetailed explanations of algorithms and their efficiency

Book Description

This book introduces the fundamentals of data structures using C++ in a self-teaching format. It covers managing large amounts of information, SEO, and creating Internet/Web indexing services. Practical analogies with real-world applications help explain technical concepts. The book includes end-of-chapter exercises such as programming tasks, theoretical questions, and multiple-choice quizzes.The course starts with an introduction to data structures and the C++ language, progressing through arrays, linked lists, queues, searching and sorting, stacks, trees, multi-way search trees, hashing, files, and graphs. Each chapter builds on the previous one, ensuring a comprehensive understanding of data structures.Understanding these concepts is crucial for managing large databases and optimizing web services. This book guides readers from basic to advanced data structure techniques, blending theoretical knowledge with practical skills. Companion files with source code and data sets enhance the learning experience, making this book an essential resource for mastering data structures with C++.

What you will learn

Understand the fundamentals of data structuresImplement various data structures using C++Analyze algorithm efficiencyDesign efficient algorithmsSolve programming problemsApply data structures to real-world scenarios

Who this book is for

The ideal audience for this book includes computer science students, software developers, and programming enthusiasts who want to master data structures using C++. Readers should have a basic understanding of programming concepts. Familiarity with C++ is recommended but not mandatory, as the book covers the necessary fundamentals.