Название: Beginning Modern jаvascript: A Step-By-Step Gentle Guide to Learn jаvascript for Beginners
Автор: Nathan Sebhastian
Издательство: Independently published
Год: 2024
Страниц: 168
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Are you looking for a clear and concise guide to help you master jаvascript? Are you feeling stuck or overwhelmed in your coding journey? Beginning Modern jаvascript will help you cut through the complexity and information overload to learn jаvascript. The book doesn't waste your time with boring stuff you don't need. Each chapter explains a topic in plain English and includes practical code examples. There are also two projects included in this book that will help you experience how to build a web application using HTML, CSS, and jаvascript. The book is designed to be easy to understand and accessible to anyone looking to learn jаvascript. It provides a step-by-step gentle guide that will help you understand how to use jаvascript to create a dynamic application. Plus,I make sure my book is engaging and fun so you will stay motivated. No previous jаvascript programming knowledge is required as I will introduce jаvascript from the basics, but you should be somewhat familiar with HTML and CSS to make the most of this book.

Название: The Python Automation Cookbook: A Recipe Guide to Automate your Life
Автор: Hayden Van Der Post, Vincent Bisette
Издательство: Reactive Publishing
Год: 2024
Страниц: 439
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unleash the Power of Python: Simplify Your Life with Automation. In the modern world, time is the ultimate currency. Enter the "Python Automation Cookbook," your ultimate guide to reclaiming hours of your day. Authored by Hayden Van Der Post, this transformative book is more than just a programming manual—it's a lifeline to efficiency. Imagine a world where mundane tasks are a thing of the past: sorting emails, managing files, updating spreadsheets, all happening seamlessly in the background while you focus on what truly matters. This isn't a dream. Python, with its simplicity and vast array of powerful libraries, has set a benchmark in automation, making it the go-to language for professionals across various industries. However, to leverage Python’s full capabilities, one must venture beyond the basics and dive into the realm where automation transforms from a mere concept into a tangible asset in your professional toolkit. *The Python Automation Cookbook* is designed precisely for this journey. This book is tailored for advanced users of Python; those who are familiar with Python’s syntax and basic functionalities but wish to push the boundaries of what they can achieve with automation.

Название: Learn C++ by Example: Covers Versions 11 to 23 (Final Release)
Автор: Frances Buontempo
Издательство: Manning Publications
Год: 2024
Страниц: 447
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Learn the latest features of modern C++ by coding eight engaging projects. Don’t let the multitude of C++ updates intimidate you! Learn C++ by Example takes you through the major language changes since C++ 11, with each new feature demonstrated with a fun project or minigame. It’s perfect for beginners who know C++ basics, coders coming back to the language, or current C++ developers missing out on everything the language has to offer. Learn C++ by Example is a fun and practical way to start writing modern C++ code. It guides you through entertaining challenges, emphasizing features and techniques made possible by C++ 17, 20, and 23. You’ll learn about objects and arrays by creating a deck of playing cards, master the C++ random library for a number guess game, use the chrono library to create a countdown timer, and much more. Along the way you’ll also pick up valuable tips for testing, project organization, and other productivity skills.

Название: Effective Software Architecture: Building Better Software Faster (Early Release)
Автор: Oliver Goldman
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 223
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB

Effective Software Architecture unites entire software development teams! Effective Software Architecture: Building Better Software Faster is the essential handbook for making software architecture an effective function within organizations and product development processes while putting whole software teams on the same page. Industry elite Oliver Goldman provides a comprehensive perspective on the set of real-world skills and practices this work requires: a predictable, repeatable design process; the ability to make decisions expediently and effectively; a comprehensive and consistent communication strategy; tools that promote efficiency; and a team that is greater than the sum of its parts. This book is for software architects, the managers who lead them, and their counterparts in product management, user experience, program management, and other related disciplines. Building software is a joint space in which all these disciplines cooperate. I hope they will all benefit from these explanations of software architecture as a discipline, its role in software development, and how architects and architecture teams operate.

Название: Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 2
Автор: Atiqur Rahman Ahad, Sozo Inoue, Guillaume Lopez
Издательство: CRC Press
Год: 2024
Страниц: 285
Язык: английский
Формат: pdf (true)
Размер: 18.6 MB

Human Activity and Behavior Analysis relates to the field of vision and sensor-based human action or activity and behavior analysis and recognition. The book includes a series of methodologies, surveys, relevant datasets, challenging applications, ideas, and future prospects. Activity recognition has been a hot research topic for some years now. One of its main applications is ambient assisted living, so that people in need of assistance might stay in their own environment longer than previously possible. There is a wide range of sensors of different types and applications being tested in this domain, ranging from ambient binary motion sensors and pressure mats to wearable gyroscopes or sensors monitoring body functions. This is also due to the many different levels of surveillance tested by the researchers. The library we selected to use here is Apache Beam and in-memory database Redis. There are two reasons to use Apache Beam: The first is the ease of implementation. Apache Beam can be written in programming languages such as Java or Python, and the process is represented as a pipeline, so it is intuitive and easy to implement. We used Machine Learning methods for classification and extracted statistical features from raw 3-D acceleration and 3-D angular velocity for each axis within the segment. In this work, we compared three types of classifiers, multi-class support vector machine (SVM), Random Forest (RF), and K Nearest Neighbors (KNN) from Scikit-learn, a Machine Learning library for Python. We chose to set all of the parameters of Machine Learning models to default values of Scikit-learn. Before training data with classifiers, we chose RF and KNN classifiers which calculate distances between different points in their algorithm.

Название: Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 1
Автор: Atiqur Rahman Ahad, Sozo Inoue, Guillaume Lopez
Издательство: CRC Press
Год: 2024
Страниц: 457
Язык: английский
Формат: pdf (true)
Размер: 21.9 MB

The book discusses topics such as action recognition, action understanding, gait analysis, gesture recognition, behavior analysis, emotion and affective computing, and related areas. Sensors and cameras are exploited for the analysis and recognition of human activity and behavior. In the book Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors, we have divided across two volumes, 40 wonderful chapters under five parts: Part 1: Healthcare and Emotion (Chapters 1–7), Part 2: Mental Health (Chapters 8–14), Part 3: Nurse Care Records (Chapters 15–26), Part 4: Movement and Sensors (Chapters 27–36), and Part 5: Sports Activity Analysis (Chapters 37–40). In a complex problem such as stress detection, the application of some type of Machine Learning (ML) algorithms makes sense. The vast amount of data in a context where multiple variables, such as HR, HRV, GSR, and ST, might have different outputs based on each other, makes it a prime target for the ML approach. Some of the most common classification algorithms are Support Vector Machines (SVM), K-Nearest Neighbours (K-NN), Random Forests (RF), Decision Trees, and Naive Bayes (NB). The data processing and model development used different Python libraries such as Pandas, Tensorflow, and Keras. To recognize stress from the physiological data, we tested different Machine Learning algorithms. We implemented the approach using Python and the Scikit-learn library.

Название: Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Автор: Daniel Memmert
Издательство: Springer
Год: 2024
Страниц: 247
Язык: английский
Формат: pdf (true), epub
Размер: 17.7 MB

In recent years, computer science in sport has grown extremely, mainly because more and more new data has become available. Computer Science tools in sports, whether used for opponent preparation, competition, or scientific analysis, have become indispensable across various levels of expertise nowadays. A completely new market has emerged through the utilization of these tools in the four major fields of application: clubs and associations, business, science, and the media. This market is progressively gaining importance within university research and educational activities. This textbook aims to live up to the now broad diversity of Computer Science in sport by having more than 30 authors report from their special field and concisely summarise the latest findings. The book is divided into four main sections: data sets, modelling, simulation and data analysis. In addition to background information on programming languages (R and Python) and visualisation, the textbook is framed by history and an outlook. Python is highly popular in the community of data scientists in general and sports analysts in particular because it is a open-source, dynamic, object-oriented, high-level programming language, which provides highly flexible and up-to-date functionalities due to its available modules and libraries.

Название: Object Oriented Programming with Python for Beginners: Mastering the Fundamentals of Python and OOP. A Beginner's Guide
Автор: Sam Campbell
Издательство: Independently published
Год: 2024
Язык: английский
Формат: pdf
Размер: 12.1 MB

Object Oriented Programming with Python for Beginners: Mastering the Fundamentals of Python and OOP. A Beginner's Guide is the quintessential handbook for newcomers eager to dive into the world of programming through the lens of Python, one of the most accessible and widely-used programming languages today. This comprehensive guide is meticulously crafted to introduce you to the fundamentals of programming, with a specific focus on the principles of Object-Oriented Programming (OOP). Starting with the very basics, the book walks you through setting up your programming environment, writing your first Python script, and understanding the syntax that makes Python a favorite among beginners and professionals alike. From there, it delves deep into the heart of OOP, demystifying concepts such as classes, objects, inheritance, polymorphism, encapsulation, and abstraction with clear explanations and engaging examples. What sets this guide apart is its practical approach to learning. Each theoretical concept is reinforced with hands-on projects, from simple games to web applications, ensuring that you not only understand the principles of OOP but also know how to apply them in real-world scenarios.

Название: Java Challengers: Master the Java Fundamentals with fun Java Code Challenges! Become a Java Challenger!
Автор: Rafael Chinelato del Nero
Издательство: Leanpub
Год: 2023-10-29
Страниц: 548
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB

Master the Java fundamentals and have a lot of fun solving the Java code Challenges of this book. You will see if you really know core Java concepts well. There are more than 70 well-elaborated Java code Challenges for you to challenge yourself and refine your Java skills to the very best so you can get rid of bugs far more easily. To get the best jobs and create high-quality code, you need to know Java very well. The Java Challenges book is a powerful way for you to master the fundamentals of Java by having fun with code challenges so you become a well-prepared highly employable Java Challenger Developer. Java Challengers is aimed at developers who want to create high-quality code in their day-to-day work. With a consolidated knowledge of the core concepts you will be able to use the full power of Java, applying the most suitable features to the situations you are facing. Developers who like solving challenging puzzles will also enjoy the book—the challenges aren’t easy, but they are fun.

Название: Python for Data Analysis: Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Автор: Brian Paul
Издательство: Independently published
Год: 2024
Страниц: 275
Язык: английский
Формат: pdf
Размер: 33.0 MB

In the age of information, the ability to extract meaningful insights from data is a superpower. "Python for Data Analysis" is your comprehensive 2 in 1 guide to harnessing the power of Python, one of the most versatile programming languages, to analyze data, uncover hidden patterns, and make data-driven decisions. Whether you're a beginner stepping into the world of data analysis or a seasoned analyst looking to refine your skills with Python, this book offers a clear, practical approach to data analysis techniques and practices. Dive into the essentials of Python for data analysis, starting with the basics of Python programming. Quickly move beyond the fundamentals to explore the rich ecosystem of data-centric Python libraries, including NumPy for numerical data processing, pandas for data manipulation, Matplotlib and Seaborn for data visualization, and many more. Through hands-on examples and real-world applications, you'll learn how to effectively manage and analyze data, perform exploratory data analysis, and visualize data patterns and relationships.