Debugging with GDB
The GNU Debugger allows you to see what is going on "inside" a program while it executes - or what a program was doing at the moment it crashed. GDB supports C, C++, Java, Fortran and Assembly among other languages; it is also designed to work closely with the GNU Compiler Collection (GCC). The GNU Debugger Program has four special features that helps you catch bugs in the act: It starts your program for you, specifying anything that might affect it's behavior. Makes your program stop under specified conditions. Examines what happened when the program stopped. Allows you to experiment with changes to see what effect they have on the program. This book will show you: setting and clearing breakpoints examining the stack, source files and data examining the symbol table altering program execution specifying a target for debugging how to control the debugger how to use canned command sequences how to install GDB and much more! This manual is written for programmers. It is designed so someo ...
The GNU Debugger allows you to see what is going on "inside" a program while it executes - or what a program was doing at the moment it crashed. GDB supports C, C++, Java, Fortran and Assembly among other languages; it is also designed to work closely with the GNU Compiler Collection (GCC). The GNU Debugger Program has four special features that helps you catch bugs in the act: It starts your program for you, specifying anything that might affect it's behavior. Makes your program stop under specified conditions. Examines what happened when the program stopped. Allows you to experiment with changes to see what effect they have on the program. This book will show you: setting and clearing breakpoints examining the stack, source files and data examining the symbol table altering program execution specifying a target for debugging how to control the debugger how to use canned command sequences how to install GDB and much more! This manual is written for programmers. It is designed so someo ...
Coding Roblox Games Made Easy, 2nd Edition
Roblox is a huge entertainment platform like no other for both playing and creating games. With over 200 million monthly active users, Roblox has enabled new and experienced developers to create successful games, often called experiences, that can be played globally at no cost. Coding Roblox Games Made Easy, 2nd Edition, builds a solid foundation of the concepts you need to embark on the journey of building two end-to-end games in Roblox in increasing order of complexity. For the first game, you will create obstacles and traps for an obstacle course game (obby) and overcome them to win the game alongside other players and earn rewards. In the next game, you will manage player avatars, their weapons, a battlefield and add programming logic for the players to find their weapons and fight, with a reward for the last player standing. Finally, you'll delve into the logistics of game production, focusing on optimizing your games' performance by implementing impressive mechanics, mon ...
Roblox is a huge entertainment platform like no other for both playing and creating games. With over 200 million monthly active users, Roblox has enabled new and experienced developers to create successful games, often called experiences, that can be played globally at no cost. Coding Roblox Games Made Easy, 2nd Edition, builds a solid foundation of the concepts you need to embark on the journey of building two end-to-end games in Roblox in increasing order of complexity. For the first game, you will create obstacles and traps for an obstacle course game (obby) and overcome them to win the game alongside other players and earn rewards. In the next game, you will manage player avatars, their weapons, a battlefield and add programming logic for the players to find their weapons and fight, with a reward for the last player standing. Finally, you'll delve into the logistics of game production, focusing on optimizing your games' performance by implementing impressive mechanics, mon ...
Developing High-Frequency Trading Systems
The world of trading markets is complex, but it can be made easier with technology. Sure, you know how to code, but where do you start? What programming language do you use? How do you solve the problem of latency? This book answers all these questions. It will help you navigate the world of algorithmic trading and show you how to build a high-frequency trading (HFT) system from complex technological components, supported by accurate data. Starting off with an introduction to HFT, exchanges, and the critical components of a trading system, this book quickly moves on to the nitty-gritty of optimizing hardware and your operating system for low-latency trading, such as bypassing the kernel, memory allocation, and the danger of context switching. Monitoring your system's performance is vital, so you'll also focus on logging and statistics. As you move beyond the traditional HFT programming languages, such as C++ and Java, you'll learn how to use Python to achieve high levels of performa ...
The world of trading markets is complex, but it can be made easier with technology. Sure, you know how to code, but where do you start? What programming language do you use? How do you solve the problem of latency? This book answers all these questions. It will help you navigate the world of algorithmic trading and show you how to build a high-frequency trading (HFT) system from complex technological components, supported by accurate data. Starting off with an introduction to HFT, exchanges, and the critical components of a trading system, this book quickly moves on to the nitty-gritty of optimizing hardware and your operating system for low-latency trading, such as bypassing the kernel, memory allocation, and the danger of context switching. Monitoring your system's performance is vital, so you'll also focus on logging and statistics. As you move beyond the traditional HFT programming languages, such as C++ and Java, you'll learn how to use Python to achieve high levels of performa ...
Build Customized Apps with Amazon Honeycode
Amazon Honeycode enables you to build fully managed, customizable, and scalable mobile and web applications for personal or professional use with little to no code. With this practical guide to Amazon Honeycode, you'll be able to bring your app ideas to life, improving your and your team's/organization's productivity. You'll begin by creating your very first app from the get-go and use it as a means to explore the Honeycode development environment and concepts. Next, you'll learn how to set up and organize the data to build and bind an app on Honeycode as well as deconstruct different templates to understand the common structures and patterns that can be used. Finally, you'll build a few apps from scratch and discover how to apply the concepts you've learned. By the end of this app development book, you'll have gained the knowledge you need to be able to build and deploy your own mobile and web applications. You'll also be able to invite and share your app with people you want to ...
Amazon Honeycode enables you to build fully managed, customizable, and scalable mobile and web applications for personal or professional use with little to no code. With this practical guide to Amazon Honeycode, you'll be able to bring your app ideas to life, improving your and your team's/organization's productivity. You'll begin by creating your very first app from the get-go and use it as a means to explore the Honeycode development environment and concepts. Next, you'll learn how to set up and organize the data to build and bind an app on Honeycode as well as deconstruct different templates to understand the common structures and patterns that can be used. Finally, you'll build a few apps from scratch and discover how to apply the concepts you've learned. By the end of this app development book, you'll have gained the knowledge you need to be able to build and deploy your own mobile and web applications. You'll also be able to invite and share your app with people you want to ...
Beej's Guide to C Programming
This is an intro to C for folks who already know how to program in another language. The first half of the book is written in a tutorial style, while the second half is a reference section complete with examples (inspired by the incomparable Turbo C Bible). The goal is to keep this up-to-date with the latest C standards. This guide assumes that you've already got some programming knowledge under your belt from another language, such as Python, JavaScript, Java, Rust, Go, Swift, etc. (Objective-C devs will have a particularly easy time of it!) ...
This is an intro to C for folks who already know how to program in another language. The first half of the book is written in a tutorial style, while the second half is a reference section complete with examples (inspired by the incomparable Turbo C Bible). The goal is to keep this up-to-date with the latest C standards. This guide assumes that you've already got some programming knowledge under your belt from another language, such as Python, JavaScript, Java, Rust, Go, Swift, etc. (Objective-C devs will have a particularly easy time of it!) ...
Qiskit Pocket Guide
The quantum computing market is predicted to grow by nearly $1.3 billion over the next five years. Why? Given their quantum mechanical nature, quantum computers are expected to solve difficult problems in chemistry, optimization, finance, and machine learning that classical computers find impossible to unravel. This pocket guide provides software developers with a quick reference to Qiskit, an open source SDK for working with quantum computers. Packed with helpful programming examples, tables, figures, and lists, this handy book helps you find the information you need to develop and debug quantum programs. Whether you're focused on business, engineering, or scientific applications, you'll learn how to choose and apply appropriate Qiskit classes, methods, and functions. Learn how to create quantum circuits, define quantum gates, and leverage the transpiler; Explore modules for implementing quantum information concepts and quantum algorithms; Survey features of Qiskit that abstr ...
The quantum computing market is predicted to grow by nearly $1.3 billion over the next five years. Why? Given their quantum mechanical nature, quantum computers are expected to solve difficult problems in chemistry, optimization, finance, and machine learning that classical computers find impossible to unravel. This pocket guide provides software developers with a quick reference to Qiskit, an open source SDK for working with quantum computers. Packed with helpful programming examples, tables, figures, and lists, this handy book helps you find the information you need to develop and debug quantum programs. Whether you're focused on business, engineering, or scientific applications, you'll learn how to choose and apply appropriate Qiskit classes, methods, and functions. Learn how to create quantum circuits, define quantum gates, and leverage the transpiler; Explore modules for implementing quantum information concepts and quantum algorithms; Survey features of Qiskit that abstr ...
AI-Powered Business Intelligence
Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision making. With this practical book with hands-on examples in Power BI, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, images files. Author Tobias Zwingmann helps BI professionals, business analysts, and data analytics understand high-impact areas of artificial intelligence. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists. Learn how AI can generate business impact in BI environments; Use AutoML for automated classification and improved forecasting; Implement recommendation services to support decision-making; Draw insights from text data at scale with NLP services; Extrac ...
Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision making. With this practical book with hands-on examples in Power BI, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, images files. Author Tobias Zwingmann helps BI professionals, business analysts, and data analytics understand high-impact areas of artificial intelligence. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists. Learn how AI can generate business impact in BI environments; Use AutoML for automated classification and improved forecasting; Implement recommendation services to support decision-making; Draw insights from text data at scale with NLP services; Extrac ...
Advanced Analytics with PySpark
The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming. Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection, to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing. If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis. Familiarize yourself wi ...
The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming. Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection, to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing. If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis. Familiarize yourself wi ...
Q# Pocket Guide
Ready to build quantum computing applications using Q# and the Microsoft Quantum Development Kit? This is the book for you. Q# is a domain-specific language for expressing quantum algorithms that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with (or willing to learn) the basics of quantum computing and looking to get started with quantum programming, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#. You'll explore the quantum software development lifecycle from implementing the program to running it on quantum simulators to testing and debugging it. You'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process. You'll explore: Q# language details, including data types, statements, and operators; Guidelines for organizing Q# code and invoking it from different environments; Information on simulators and tools in the Micros ...
Ready to build quantum computing applications using Q# and the Microsoft Quantum Development Kit? This is the book for you. Q# is a domain-specific language for expressing quantum algorithms that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with (or willing to learn) the basics of quantum computing and looking to get started with quantum programming, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#. You'll explore the quantum software development lifecycle from implementing the program to running it on quantum simulators to testing and debugging it. You'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process. You'll explore: Q# language details, including data types, statements, and operators; Guidelines for organizing Q# code and invoking it from different environments; Information on simulators and tools in the Micros ...
Programming for Computations - MATLAB/Octave
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification. ...
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification. ...