First Semester in Numerical Analysis with Python
The book is based on "First semester in Numerical Analysis with Julia". The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Python is ranked the third in August 2020 by the TIOBE programming community index 2 , a measure of popularity of programming languages, and is the top-ranked interpreted language. We hope this book will better serve readers who are interested in a first course in Numerical Analysis, but are more familiar with Python for the implementation of the algorithms. The first chapter of the book has a self-contained tutorial for Python, including how to set up the computer environment. Anaconda, the open-source individual edition, is recommended for an easy installation of Python and effortless management of Python packages, and the Jupyter environment, a web-based inte ...
The book is based on "First semester in Numerical Analysis with Julia". The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Python is ranked the third in August 2020 by the TIOBE programming community index 2 , a measure of popularity of programming languages, and is the top-ranked interpreted language. We hope this book will better serve readers who are interested in a first course in Numerical Analysis, but are more familiar with Python for the implementation of the algorithms. The first chapter of the book has a self-contained tutorial for Python, including how to set up the computer environment. Anaconda, the open-source individual edition, is recommended for an easy installation of Python and effortless management of Python packages, and the Jupyter environment, a web-based inte ...
Practical Python Data Wrangling and Data Quality
The world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations. Complementing foundational concepts with expert advice, author Susan E. McGregor provides the resources you need to extract, evaluate, and analyze a wide variety of data sources and formats, along with the tools to communicate your findings effectively. This book delivers a methodical, jargon-free way for data practitioners at any level, from true novices to seasoned professionals, to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources; Understand and use programming basics in Python to wrangle data at scale; Organize, document, and structu ...
The world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations. Complementing foundational concepts with expert advice, author Susan E. McGregor provides the resources you need to extract, evaluate, and analyze a wide variety of data sources and formats, along with the tools to communicate your findings effectively. This book delivers a methodical, jargon-free way for data practitioners at any level, from true novices to seasoned professionals, to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources; Understand and use programming basics in Python to wrangle data at scale; Organize, document, and structu ...
Machine Learning for Financial Risk Management with Python
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models. Author Abdullah Karasan helps you explore the theory behind financial risk modeling before diving into practical ways of employing ML models in modeling financial risk using Python. With this book, you will: Review classical time series applications and compare them with deep learning models; Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning; Improve market risk models (VaR and ES) using ML techniques and including liquidity dimension; Develop a credit risk anal ...
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models. Author Abdullah Karasan helps you explore the theory behind financial risk modeling before diving into practical ways of employing ML models in modeling financial risk using Python. With this book, you will: Review classical time series applications and compare them with deep learning models; Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning; Improve market risk models (VaR and ES) using ML techniques and including liquidity dimension; Develop a credit risk anal ...
Reactive Systems in Java
Reactive systems and event-driven architecture are becoming indispensable to application design, and companies are taking note. Reactive systems ensure that applications are responsive, resilient, and elastic no matter what failures or errors may be occurring, while event-driven architecture offers a flexible and composable option for distributed systems. This practical book helps Java developers bring these approaches together using Quarkus 2.x, the Kubernetes-native Java framework. Clement Escoffier and Ken Finnigan show you how to take advantage of event-driven and reactive principles to build robust distributed systems, reducing latency and increasing throughput, particularly in microservices and serverless applications. You'll also get a foundation in Quarkus to help you create true Kubernetes-native applications for the cloud. Understand the fundamentals of reactive systems and event-driven architecture; Learn how to use Quarkus to build reactive applications; Combine Quark ...
Reactive systems and event-driven architecture are becoming indispensable to application design, and companies are taking note. Reactive systems ensure that applications are responsive, resilient, and elastic no matter what failures or errors may be occurring, while event-driven architecture offers a flexible and composable option for distributed systems. This practical book helps Java developers bring these approaches together using Quarkus 2.x, the Kubernetes-native Java framework. Clement Escoffier and Ken Finnigan show you how to take advantage of event-driven and reactive principles to build robust distributed systems, reducing latency and increasing throughput, particularly in microservices and serverless applications. You'll also get a foundation in Quarkus to help you create true Kubernetes-native applications for the cloud. Understand the fundamentals of reactive systems and event-driven architecture; Learn how to use Quarkus to build reactive applications; Combine Quark ...
Cloud Native Architecture and Design
Build enterprise-grade cloud-native systems and learn all about cloud-native architecture and design. This book provides extensive in-depth details of patterns, tools, techniques, and processes with plenty of examples. Cloud Native Architecture and Design begins by explaining the fundamentals of cloud-native architecture and services, what cloud principles and patterns to use, and details of designing a cloud-native element. The book progresses to cover the details of how IT systems can modernize to embrace cloud-native architecture, and also provides details of various enterprise assessment techniques to decide what systems can move and cannot move into the cloud. Architecting and designing a cloud-native system isn't possible without modernized software engineering principles, the culture of automation, and the culture of innovation. As such, this book covers the details of cloud-native software engineering methodologies, and process, and how to adopt an automated governance ...
Build enterprise-grade cloud-native systems and learn all about cloud-native architecture and design. This book provides extensive in-depth details of patterns, tools, techniques, and processes with plenty of examples. Cloud Native Architecture and Design begins by explaining the fundamentals of cloud-native architecture and services, what cloud principles and patterns to use, and details of designing a cloud-native element. The book progresses to cover the details of how IT systems can modernize to embrace cloud-native architecture, and also provides details of various enterprise assessment techniques to decide what systems can move and cannot move into the cloud. Architecting and designing a cloud-native system isn't possible without modernized software engineering principles, the culture of automation, and the culture of innovation. As such, this book covers the details of cloud-native software engineering methodologies, and process, and how to adopt an automated governance ...
Building Applications with Azure Resource Manager (ARM)
Learn how to leverage infrastructure as code with Azure Resource Manager (ARM) and the best practices to build, test, debug, and deploy your applications in Microsoft Azure using ARM templates and the new domain-specific language Bicep. As organizations consider moving partially or fully to the cloud, infrastructure as code (IaC) has become a key component to improving time to market for their applications. However, it is critical that enterprise infrastructure professionals use the right resources and strategies to build the infrastructure required to run applications in the cloud. Azure cloud-native components and capabilities automate the build and deployment process, offering a myriad of compelling reasons to leverage IaC to build your applications in Azure. Starting with the evolution of the software-defined approach and building on the basic concepts of infrastructure as code, this book provides you with comprehensive guidance to learn Azure Resource Manager from the ground u ...
Learn how to leverage infrastructure as code with Azure Resource Manager (ARM) and the best practices to build, test, debug, and deploy your applications in Microsoft Azure using ARM templates and the new domain-specific language Bicep. As organizations consider moving partially or fully to the cloud, infrastructure as code (IaC) has become a key component to improving time to market for their applications. However, it is critical that enterprise infrastructure professionals use the right resources and strategies to build the infrastructure required to run applications in the cloud. Azure cloud-native components and capabilities automate the build and deployment process, offering a myriad of compelling reasons to leverage IaC to build your applications in Azure. Starting with the evolution of the software-defined approach and building on the basic concepts of infrastructure as code, this book provides you with comprehensive guidance to learn Azure Resource Manager from the ground u ...
Practical SQL, 2nd Edition
Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. Anthony DeBarros, a journalist and data analyst, focuses on using SQL to find the story within your data. The examples and code use the open-source database PostgreSQL and its companion pgAdmin interface, and the concepts you learn will apply to most database management systems, including MySQL, Oracle, SQLite, and others. You'll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from real-world datasets such as US Census demographics, New York City taxi rides, and earthquakes from US Geological Survey. Each chapter includes exercises and examples that teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently. You'll learn how to: Create databases and ...
Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. Anthony DeBarros, a journalist and data analyst, focuses on using SQL to find the story within your data. The examples and code use the open-source database PostgreSQL and its companion pgAdmin interface, and the concepts you learn will apply to most database management systems, including MySQL, Oracle, SQLite, and others. You'll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from real-world datasets such as US Census demographics, New York City taxi rides, and earthquakes from US Geological Survey. Each chapter includes exercises and examples that teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently. You'll learn how to: Create databases and ...
How to Think Like a Computer Scientist
How to Think Like a Computer Scientist: Learning with Python - is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures. ...
How to Think Like a Computer Scientist: Learning with Python - is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures. ...
Robot Operating System (ROS) for Absolute Beginners, 2nd Edition
Start programming your own robots using Robot Operation System (ROS). Targeted for absolute beginners in ROS, Linux, and Python, this guide lets you build your own robotics projects. You'll learn the basic foundation of Ubuntu Linux. Begin with the fundamentals. Installation and useful commands will give you the basic tools you need while programming a robot. Then add useful software applications that can be used while making robots. Programming robots can be done using any of the programming languages. Most popular programming languages are Python and C++. You will incorporate the fundamentals of C++ by learning object oriented programing concepts from example and building C++ projects. Finally, tackle an ROS hands-on project to apply all the concepts of ROS you've learned. The aim of the project is to perform a dead-reckoning using a cheap mobile robot. You can command your robot's position on Rviz and your robot will move to that position! Not only will you learn to program, ...
Start programming your own robots using Robot Operation System (ROS). Targeted for absolute beginners in ROS, Linux, and Python, this guide lets you build your own robotics projects. You'll learn the basic foundation of Ubuntu Linux. Begin with the fundamentals. Installation and useful commands will give you the basic tools you need while programming a robot. Then add useful software applications that can be used while making robots. Programming robots can be done using any of the programming languages. Most popular programming languages are Python and C++. You will incorporate the fundamentals of C++ by learning object oriented programing concepts from example and building C++ projects. Finally, tackle an ROS hands-on project to apply all the concepts of ROS you've learned. The aim of the project is to perform a dead-reckoning using a cheap mobile robot. You can command your robot's position on Rviz and your robot will move to that position! Not only will you learn to program, ...
Building Offline Applications with Angular
Get a complete overview of offline installable applications. Businesses need reliable applications that enable users to access data and their applications in spite of a bad network connection. Traditional websites work only when connected to the network. With a large number of users depending on mobile phones and tablets for work, social interactions, and media consumption, it's important that the web applications can work on a weak network connection and even offline. This step-by-step guide shows you how to build an Angular application that considers offline access and uses its ready-made features and configurations. Build Offline Applications with Angular helps bridge the gap between native apps and web applications. ...
Get a complete overview of offline installable applications. Businesses need reliable applications that enable users to access data and their applications in spite of a bad network connection. Traditional websites work only when connected to the network. With a large number of users depending on mobile phones and tablets for work, social interactions, and media consumption, it's important that the web applications can work on a weak network connection and even offline. This step-by-step guide shows you how to build an Angular application that considers offline access and uses its ready-made features and configurations. Build Offline Applications with Angular helps bridge the gap between native apps and web applications. ...