Programming and scripting languages: general

The text focuses on the basics of Python programming fundamentals and introduction to present-day applications in technology and the upcoming state-of-art trends in a comprehensive manner.

Over the period of last few decades, the a C language has become an icon for computer programmers.

Getting Started for Internet of Things with Launch Pad and ESP8266 provides a platform to get started with the Ti launch pad and IoT modules for Internet of Things applications.

Over the period of last few decades, the a C language has become an icon for computer programmers.

Getting Started for Internet of Things with Launch Pad and ESP8266 provides a platform to get started with the Ti launch pad and IoT modules for Internet of Things applications.

The subject of this textbook is to act as an introduction to data science / data analysis applied to finance, using R and its most recent and freely available extension libraries.

The subject of this textbook is to act as an introduction to data science / data analysis applied to finance, using R and its most recent and freely available extension libraries.

Mechanizing hypothesis formation is an approach to exploratory data analysis.

ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs.

Mechanizing hypothesis formation is an approach to exploratory data analysis.

ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs.

STEM Problems with Mathcad and Python seeks to remove the fear of tackling difficult scientific and technical calculations for future mathematicians, engineers, scientists, and other STEM researchers.

STEM Problems with Mathcad and Python seeks to remove the fear of tackling difficult scientific and technical calculations for future mathematicians, engineers, scientists, and other STEM researchers.

This book is a high-level overview of Sh and its relationship to other realtime shading and Graphics processing unit programming languages.

This book is a high-level overview of Sh and its relationship to other realtime shading and Graphics processing unit programming languages.

This book provides a platform to understand Internet of things with Raspberry Pi and the basic knowledge of the programming and interfacing of the devices and designed systems.

This book provides a platform to understand Internet of things with Raspberry Pi and the basic knowledge of the programming and interfacing of the devices and designed systems.

Since the publication of the first edition, parallel computing technology has gained considerable momentum.

Since the publication of the first edition, parallel computing technology has gained considerable momentum.

Learn how to use the modern techniques offered by Maple V, a powerful and popular computer algebra system.

Learn how to use the modern techniques offered by Maple V, a powerful and popular computer algebra system.

Monte-Carlo techniques have increasingly become a key method used in quantitative research.

Monte-Carlo techniques have increasingly become a key method used in quantitative research.

This tutorial textbook is an essential companion to using CATIA v5 to assist with computer-aided design.

This tutorial textbook is an essential companion to using CATIA v5 to assist with computer-aided design.

Surveying the major programming languages that have hallmarked the evolution of computing, Programming Language Fundamentals by Example provides an understanding of the many languages and notations used in computer science, the formal models used to design phases, and the foundations of languages including linguistics.

This book is primarily for students who are taking a course on the C++ language, for those who wish to self-study the C++ language, and for programmers who have experience with C and want to advance to C++.

This book is primarily for students who are taking a course on the C++ language, for those who wish to self-study the C++ language, and for programmers who have experience with C and want to advance to C++.

This handbook provides a hands-on experience based on the underlying topics, and assists students and faculty members in developing their algorithmic thought process and programs for given computational problems.

This handbook provides a hands-on experience based on the underlying topics, and assists students and faculty members in developing their algorithmic thought process and programs for given computational problems.

Ace your software engineering job interviews by preparing yourself for the concurrent programming rounds.

This textbook is written for the first introductory course on scientific computing.

This textbook is written for the first introductory course on scientific computing.

Applied Mathematics with Open-source Software: Operational Research Problems with Python and R is aimed at a broad segment of readers who wish to learn how to use open-source software to solve problems in applied mathematics.

Applied Mathematics with Open-source Software: Operational Research Problems with Python and R is aimed at a broad segment of readers who wish to learn how to use open-source software to solve problems in applied mathematics.

Introduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model.

Introduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model.

The programming language Fortran dates back to 1957 when a team of IBM engineers released the first Fortran Compiler.

Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random processes and serves as practical guide to simulated trajectories and real-life applications for stochastic processes.

Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random processes and serves as practical guide to simulated trajectories and real-life applications for stochastic processes.

The programming language Fortran dates back to 1957 when a team of IBM engineers released the first Fortran Compiler.

Introduction to Digital Music with Python Programming provides a foundation in music and code for the beginner.

Introduction to Digital Music with Python Programming provides a foundation in music and code for the beginner.

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases, sequence alignment, and NCBI Sequence Local Alignment Search Tool (BLAST).

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases, sequence alignment, and NCBI Sequence Local Alignment Search Tool (BLAST).

A True Textbook for an Introductory Course, System Administration Course, or a Combination CourseLinux with Operating System Concepts, Second Edition merges conceptual operating system (OS) and Unix/Linux topics into one cohesive textbook for undergraduate students.

A True Textbook for an Introductory Course, System Administration Course, or a Combination CourseLinux with Operating System Concepts, Second Edition merges conceptual operating system (OS) and Unix/Linux topics into one cohesive textbook for undergraduate students.

The R Companion for Sampling: Design and Analysis, designed to be read alongside Sampling: Design and Analysis, Third Edition by Sharon L.

The R Companion for Sampling: Design and Analysis, designed to be read alongside Sampling: Design and Analysis, Third Edition by Sharon L.

The data structure is a set of specially organized data elements and functions, which are defined to store, retrieve, remove and search for individual data elements.