Introduction to Python Programming And Data Structure By Liang

A textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language.This introductory textbook teaches the principles of programming languages by using an experiential learning style, in which students learn about language features by realizing those features in a pedagogical compiler. Students use Java―the most commonly used programming language in the first two years of the computer science curriculum―as the implementation language throughout. The book also discusses a range of emerging topics in programming languages missing from existing textbooks, including concurrency, Big Data, and event-driven programming. The goal is to prepare students to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. The book first develops basic concepts in languages, including means of computation using primitive values, means of combination such as variable definition and functions, an

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful programming language, Python. This book is designed for a first cour

This new edition of Andrew Radford's outstanding resource for students is a step-by-step, practical introduction to English syntax and syntactic principles, written by a globally-renowned expert in the field. Assuming little or no prior background in syntax, Radford outlines key concepts and how they can be used to describe various aspects of English sentence structure. Each chapter contains core modules focusing on a specific topic, a summary recapitulating the main points of the chapter, and a bibliographical section providing references to original source material. This edition has been extensively updated, with new analyses, exercise materials, references and a brand-new chapter on adjuncts. Students will benefit from the online workbook, which contains a vast amount of exercise material for each module, including self-study materials and a student answerbook for these. Teachers will value the extensive PowerPoints outlining module contents and the comprehensive teacher answerbook,

Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-p

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Py

This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly

Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data stru

This book helps readers create good VHDL descriptions and simulate VHDL designs. It teaches VHDL using selected sample problems, which are solved step by step and with precise explanations, so that re

Describes the principles and methods of data analysis in an approach that can be understood by readers without specific knowledge of statistics or programming This book teaches readers without sp

An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read first data science textbook for those with no prior coding experience. The book is designed

Finally! Deep Neural Networks Simplified with PythonDeep Learning Step by Step with Python takes you on a gentle, fun and unhurried journey to building your own deep neural network models in Python. U