Название: Programmer Passport: Elixir
Автор: Bruce Tate
Издательство: The Pragmatic Programmers
Год: May 2022 (Version: P1.0)
Страниц: 130
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB

Elixir is a functional language that crosses many boundaries. With a syntax borrowing heavily from Ruby, a runtime that is on the Erlang BEAM, a macro system like that in Lisp, and a streaming library like you might find in Haskell, Elixir takes the best features from many environments. Elixir borrows from Erlang's "Let It Crash" philosophy, and adds significant improvements with structs, first-class hygienic macros, and abstractions such as protocols. Many of these ideas were borrowed from other communities, and they make a big difference in language adoption. This book gives you a quick guided tour through the fascinating world of Elixir! Explosive growth in the Internet of Things has created a demand for Elixir’s many frameworks for managing, networking, and measuring hardware. A push for more interactive web systems is driving demand for web programming tools like Elixir’s Phoenix. If you think of a book as a travel guide, this book provides quick day trips that many travelers miss. We’ll focus on several blind spots that beginning and intermediate Elixir developers encounter. We’ll walk you through how to explore types in IEx and when to use Elixir’s primitive data types. We’ll unlock sigils and show you how macros work. Together, we’ll build a mix task.

Название: Artificial Intelligence and Machine Learning: An Intelligent Perspective of Emerging Technologies
Автор: Rohit Tanwar, Surbhi Bhatia Khan, Varun Sapra
Издательство: CRC Press
Год: 2024
Страниц: 155
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book focuses on Artificial Intelligence (AI) and Machine Learning (ML) technologies and how they are progressively being incorporated into a wide range of products, including consumer gadgets, "smart" personal assistants, cutting-edge medical diagnostic systems, and quantum computing systems. This concise reference book offers a broad overview of the most important trends and discusses how these trends and technologies are being created and employed in the applications in which they are being used. Artificial Intelligence and Machine Learning: An Intelligent Perspective of Emerging Technologies offers a broad package involving the incubation of AI and ML with various emerging technologies such as Internet of Things (IoT), healthcare, smart cities, robotics, and more. The book discusses various data collection and data transformation techniques and also maps the legal and ethical issues of data-driven e-healthcare systems while covering possible ways to resolve them. The book explores different techniques on how AI can be used to create better virtual reality experiences and deals with the techniques and possible ways to merge the power of AI and IoT to create smart home appliances.

Название: AI-Centric Modeling and Analytics; Concepts, Technologies, and Applications
Автор: Alex Khang, Vugar Abdullayev, Babasaheb Jadhav, Shashi Kant Gupta
Издательство: CRC Press
Год: 2024
Страниц: 396
Язык: английский
Формат: pdf (true)
Размер: 30.5 MB

This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, Machine Learning-aided models, Internet of Things-driven applications, and cybersecurity techniques in the era of Industrial Revolution 4.0. AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications focuses on how to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions. This book presents advanced AI-centric modeling and analysis techniques that facilitate data analytics and learning in various applications. It offers fundamental concepts of advanced techniques, technologies, and tools along with the concept of real-time analysis systems. AI is not only a buzzword or any special feature of Computer Science; it collaborates with other computer science areas, such as ML, Deep Learning, Big Data analytics, and natural language processing (NLP). Artificial Intelligence uses multiple programming languages and supports multiple tools to record data as well as to build an algorithm to create a model based on data.

Название: Build a Weather Station with Elixir and Nerves: Visualize Your Sensor Data with Phoenix and Grafana
Автор: Alexander Koutmos, Bruce A. Tate, Frank Hunleth
Издательство: The Pragmatic Programmers
Год: January 2022 (Version: P1.0)
Язык: английский
Формат: pdf (true), epub (true)
Размер: 13,5 MB

The Elixir programming language has become a go-to tool for creating reliable, fault-tolerant, and robust server-side applications. Thanks to Nerves, those same exact benefits can be realized in embedded applications. This book will teach you how to structure, build, and deploy production grade Nerves applications to network-enabled devices. The weather station sensor hub project that you will be embarking upon will show you how to create a full stack IoT solution in record time. You will build everything from the embedded Nerves device to the Phoenix backend and even the Grafana time-series data visualizations. Elixir as a programming language has found its way into many different software domains, largely in part to the rock-solid foundation of the Erlang virtual machine. Thanks to the Nerves framework, Elixir has also found success in the world of embedded systems and IoT. Having access to all of the Elixir and OTP constructs such as concurrency, supervision, and immutability makes for a powerful IoT recipe. Find out how to create fault-tolerant, reliable, and robust embedded applications using the Nerves framework.

Название: Build a Binary Clock with Elixir and Nerves: Use Layering to Produce Better Embedded Systems
Автор: Frank Hunleth, Bruce A. Tate
Издательство: The Pragmatic Programmers
Год: August 2022 (Version: P1.0)
Страниц: 102
Язык: английский
Формат: True PDF, True EPUB, MOBI
Размер: 10.1 MB, 10.4 MB

Want to get better at coding Elixir? Write a hardware project with Nerves. As you build this binary clock, you'll build in resiliency using OTP, the same libraries powering many commercial phone switches. You'll attack complexity the way the experts do, using a layered approach. You'll sharpen your debugging skills by taking small, easily verified steps toward your goal. When you're done, you'll have a working binary clock and a good appreciation of the work that goes into a hardware system. You'll also be able to apply that understanding to every new line of Elixir you write.

Название: Solving Ordinary Differential Equations in Python
Автор: Joakim Sundnes
Издательство: Springer
Год: 2024
Страниц: 124
Язык: английский
Формат: pdf (true), djvu
Размер: 10.2 MB

This book explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and computational science, and numerous solvers are available in commercial and open source software. However, no single ODE solver is the best choice for every single problem, and choosing the right solver requires fundamental insight into how the solvers work. This book will provide exactly that insight, to enable students and researchers to select the right solver for any ODE problem of interest, or implement their own solvers if needed. The presentation is compact and accessible, and focuses on the large and widely used class of solvers known as Runge-Kutta methods. Explicit and implicit methods are motivated and explained, as well as methods for error control and automatic time step selection, and all the solvers are implemented as a class hierarchy in Python. The main purpose of the notes is to serve as a concise and gentle introduction to solving differential equations in Python, specifically for the course Introduction to programming for scientific applications (IN1900, 10 ETCS credits) at the University of Oslo. These notes will be most useful for readers with a basic knowledge of Python and NumPy, and it is also useful to have a fundamental understanding of ODEs.

Название: Ultimate Neural Network Programming with Python: Create Powerful Modern AI Systems by Harnessing Neural Networks with Python, Keras, and TensorFlow
Автор: Vishal Rajput
Издательство: Orange Education Pvt Ltd, AVA
Год: November 2023
Страниц: 401
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Master Neural Networks for Building Modern AI Systems. This book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon. The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries. Throughout the chapters, readers are engaged with the book through practice exercises and supplementary learnings. The book then gradually moves to Neural Networks with Python before diving into constructing ANN models and real-world AI applications. It accommodates various learning styles, letting readers focus on hands-on implementation or mathematical understanding. This book isn't just about using AI tools; it's a compass in the world of AI resources, empowering readers to modify and create tools for complex AI systems. It ensures a journey of exploration, experimentation, and proficiency in AI, equipping readers with the skills needed to excel in the AI industry.

Название: Cloud Observability in Action (Final Release)
Автор: Michael Hausenblas
Издательство: Manning Publications
Год: 2024
Страниц: 266
Язык: английский
Формат: pdf (true)
Размер: 11.3 MB

Don’t fly blind. Observability gives you actionable insights into your cloud native systems—from pinpointing errors, to increasing developer productivity, to tracking compliance. Observability is the difference between an error message and an error explanation with a recipe how to resolve the error! You know exactly which service is affected, who’s responsible for its repair, and even how it can be optimized in the future. Cloud Observability in Action teaches you how to set up an observability system that learns from a cloud application’s signals, logging, and monitoring, all using free and open source tools. The book focuses primarily on developers, DevOps/site reliability engineers (SREs), who are working with cloud-native applications. It is meant for anyone interested in running cloud-native applications, be that in Kubernetes or using function-as-a-service offerings, such as AWS Lambda.

Название: Football Analytics with Python & R: Learning Data Science Through the Lens of Sports (Final)
Автор: Eric A. Eager, Richard A. Erickson
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 352
Язык: английский
Формат: pdf (true), epub (true)
Размер: 20.3 MB, 10.2 MB

Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data. Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. We wrote this book for beginners and have included appendixes for people with minimal-to-no prior programming experience.

Название: Introduction to Computer Programming with Python
Автор: Harris Wang
Издательство: Remix
Год: 2023
Страниц: 500
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

This introduction to computer programming with Python begins with some of the basics of computing and programming before diving into the fundamental elements and building blocks of computer programs in Python language. From the installation of Python, Python interactive programming, and integrated development environments to raising and handling exceptions, using compound data types to solve problems, and implement divide-and-conquer processes using functions, classes and modules, this textbook will set students up for success in programming and computing study and practice. The included exercises and projects are designed to hone students’ skills. Python was designed with the principle of “programming for everyone.” Programs written in Python are clean and easy to read. Yet Python is a general-purpose programming language and very powerful to code in. Programming in Python has the least overhead, especially when compared to Java.