<span>As part of the best-selling </span><span>Pocket Primer</span><span> series, this book is designed to present the fundamentals of data structures using Python. Data structures provide a means to manage huge amounts of information such as large databases and the ability to use search and sort al
Python Data Structures: Pocket Primer
โ Scribed by Oswald Campesato
- Publisher
- Mercury Learning and Information
- Year
- 2022
- Tongue
- English
- Leaves
- 229
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
As part of the best-selling Pocket Primer series, this book is designed to present the fundamentals of data structures using Python. Data structures provide a means to manage huge amounts of information such as large databases and the ability to use search and sort algorithms effectively. It is intended to be a fast-paced introduction to the core concepts of Python and data structures, illustrated with numerous code samples. Companion files with source code are available for downloading.
FEATURES
Begins with an introduction to Python, and covers recursion, strings, search and sort, linked lists, stacks, and more
Features numerous code samples throughout
Includes companion files with source code available for downloading.
โฆ Table of Contents
1: Introduction to Python
2: Recursion and Combinatorics
3: Strings and Arrays
4: Search and Sort Algorithms
5: Linked Lists
6: Linked Lists and Common Tasks
7: Queues and Stacks
Index
๐ SIMILAR VOLUMES
As part of the best-selling <em>Pocket Primer</em> series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. Itis intended to be a fast-paced introduction to some basic features of dataanalytics and also covers statistics, data visualization, and d
<span>As part of the best-selling </span><span>Pocket Primer</span><span> series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning ta
<span>As part of the best-selling </span><span>Pocket Primer</span><span> series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics,
As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapte
This book covers only the topics that are absolutely essential; the more esoteric structures and algorithms are left for later study. Suitable for an introductory data structures course or self-study, this book is written from the ground up in C++ and uses features of the C++ Standard Template Libra