Название: DataFrame Manipulation: Theory and Applications With Python and Tkinter
Автор: Vivian Siahaan, Rismon Hasiholan Sianipar
Издательство: Balige Publishing
Год: 2024
Страниц: 747
Язык: английский
Формат: epub
Размер: 18.2 MB

A DataFrame is a crucial data structure in Pandas, a versatile Python library for data manipulation and analysis. It is designed to handle two-dimensional, labeled data similar to a spreadsheet or SQL table, facilitating operations such as filtering, sorting, grouping, and aggregating. DataFrames can be created from various data sources, including lists, dictionaries, or NumPy arrays. They offer robust data handling features, including managing missing values and performing input/output operations with diverse file formats. Key capabilities of DataFrames include hierarchical indexing, time series functionality, and integration with libraries like NumPy and Matplotlib, which are essential for efficient data analysis and transforming raw data into actionable insights. Several projects in this book demonstrate practical applications of DataFrames and Tkinter for data analysis. Tkinter-based GUI applications are used in various projects to interact with and visualize data. For instance, one project features a Tkinter GUI that allows users to filter and view sales data interactively, while another enables filtering and viewing of movie data based on release year and rating. Additional projects involve building GUIs to manage and visualize synthetic data for different applications, such as sales, temperature, and medical data. These applications integrate pandas for data manipulation, Tkinter for user interfaces, and Matplotlib for graphical representations, providing comprehensive tools for exploring, analyzing, and visualizing data.

Название: Учебник по функциям Excel и программированию в среде VBA
Автор: С.А. Швыдков
Издательство: МГУ
Год: 2019
Страниц: 105
Язык: русский
Формат: pdf
Размер: 10.1 MB

В книге рассматриваются вопросы применения встроенных функций Excel для решения прикладных задач, а также приводятся начальные сведения языка программирования VBA для Excel. Материал излагается в краткой, доступной форме и иллюстрируется большим количеством наглядных примеров. Учебник предназначен для пользователей, имеющих опыт работы в приложении Excel, но не использующих широких возможностей встроенных функций и программирования в VBA, а также всем интересующимся обработкой информации в Excel. Учебник будет полезен студентам начальных курсов ВУЗов, изучающих информатику. Раздел I данного учебного пособия предназначен для студентов, ознакомленных с возможностями Excel, но не имеющих достаточного опыта в обработке данных с помощью встроенных функций. В этом разделе в краткой форме рассматриваются наиболее востребованные функции из различных категорий (текстовые, логические, статистические...). Применение этих функций наглядно демонстрируется на примерах. Раздел II книги посвящен языку программирования VBA. Предназначен этот раздел для тех, кто имеет некоторый опыт в программировании в других языках, но не решал задач с помощью VBA, а также для тех, кто никогда не программировал, но желает познакомиться с часто встречающейся аббревиатурой VBA.

Название: Responsible AI: Implement an Ethical Approach in your Organization
Автор: Olivia Gambelin
Издательство: ‎Kogan Page
Год: 2024
Страниц: 273
Язык: английский
Формат: pdf (true), epub
Размер: 18.9 MB

Responsible AI is a guide to how business leaders can develop and implement a robust and responsible AI strategy for their organizations. Responsible AI has rapidly transitioned to a strategic priority for leaders and organizations worldwide. Responsible AI guides readers step-by-step through the process of establishing robust yet manageable ethical AI initiatives for any size organization, outlining the three core pillars of building a responsible AI strategy: people, process and technology. It provides the insight and guidance needed to help leaders fully understand the technical and commercial potential of ethics in AI while also covering the operations and strategy needed to support implementation. Responsible AI breaks down what it means to use ethics and values as a modern-day decision-making tool in the design and development of AI. It conceptually covers both how ethics can be used to identify risks and establish safeguards in the development of AI and how to use ethics-by-design methods to stimulate AI innovation. It also covers the different considerations for large enterprises and SMEs and discusses the role of the AI ethicist. It is supported by practical case studies from organizations such as IKEA, Nvidia, Rolls-Royce and NatWest Group.

Название: Pandas for Everyone: Python Data Analysis, Second Edition
Автор: Daniel Chen
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2023
Страниц: 512
Язык: английский
Формат: True/Retail (PDF EPUB)
Размер: 64.3 MB

Manage and Automate Data Analysis with Pandas in Python. Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple data sets. Pandas for Everyone, 2nd Edition, brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world data science problems such as using regularization to prevent data overfitting, or when to use unsupervised Machine Learning methods to find the underlying structure in a data set.

Название: Mathematical Models Using Artificial Intelligence for Surveillance Systems
Автор: Padmesh Tripathi, Mritunjay Rai, Nitendra Kumar, Santosh Kumar
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 350
Язык: английский
Формат: pdf (true), epub
Размер: 42.8 MB

This book gives comprehensive insights into the application of Artificial Intelligence (AI), Machine Learning, and Deep Learning in developing efficient and optimal surveillance systems for both indoor and outdoor environments, addressing the evolving security challenges in public and private spaces. Mathematical Models Using Artificial Intelligence for Surveillance Systems aims to collect and publish basic principles, algorithms, protocols, developing trends, and security challenges and their solutions for various indoor and outdoor surveillance applications using Artificial Intelligence (AI). The book addresses how AI technologies such as Machine Learning (ML), Deep Learning (DL), sensors, and other wireless devices could play a vital role in assisting various security agencies. Security and safety are the major concerns for public and private places in every country. Some places need indoor surveillance, some need outdoor surveillance, and, in some places, both are needed. The goal of this book is to provide an efficient and optimal surveillance system using AI, ML, and DL-based image processing. With the emergence of Artificial Intelligence, Machine Learning, and Deep Learning, surveillance systems have reached a standard. It made the surveillance system very powerful and effective in prevention. AI has become increasingly important in surveillance and security applications in recent years. AI is capable of processing and analyzing huge amounts of data in a fast and accurate manner, making it a treasured tool in detection and prevention. One of the most noteworthy benefits of AI-based surveillance systems is their capability to detect and track people and objects accurately. This tool can recognize faces, differentiate between objects and individuals, and identify unusual behavior. AI and ML algorithms can analyze video feeds in real-time, identifying patterns, anomalies, and key details that might go unnoticed by the human eye. They can enable advanced features like facial recognition, license plate recognition, and predictive analytics.

Название: Statistics for Data Science and Analytics
Автор: Peter C. Bruce, Peter Gedeck, Janet Dobbins
Издательство: Wiley
Год: 2025
Страниц: 366
Язык: английский
Формат: pdf (true), epub
Размер: 30.7 MB

Introductory statistics textbook with a focus on Data Science topics such as prediction, correlation, and data exploration. Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data exploration. The authors provide an introduction to statistical science and big data, as well as an overview of Python data structures and operations. A range of statistical techniques are presented with their implementation in Python, including hypothesis testing, probability, exploratory data analysis, categorical variables, surveys and sampling, A/B testing, and correlation. The text introduces binary classification, a foundational element of Machine Learning, validation of statistical models by applying them to holdout data, and probability and inference via the easy-to-understand method of resampling and the bootstrap instead of using a myriad of “kitchen sink” formulas. Regression is taught both as a tool for explanation and for prediction. Python is a general programming language that can be used in many different areas. It is especially popular in the Machine Learning and Data Science communities. A wide range of libraries provide efficient solutions for almost every need, from simple one-off scripts, to web servers, and highly complex scientific applications. As we will see throughout this book, it also has great support for statistics.

Название: Web Applications with ASP.NET Core Blazor: Create Powerful, Responsive, and Engaging Web Applications
Автор: Brian Ding
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 308
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book covers many different aspects of developing Blazor applications, a modern way to build rich UI web apps. It also introduces methods to leverage .NET and its eco-systems to build a modern enterprise application. It features WebAssembly and how it can be written in any programming language. The book also compares different Blazor hosting models and the strategy to select a model that suits specific business requirements. It is designed for web developers, software engineers, and tech enthusiasts looking to build robust, interactive web applications using ASP.NET Core Blazor. Using a demonstrative approach for Blazor learners, every chapter includes numerous code examples and a Blazor source code analysis. It covers basic Blazor directives and components and how these concepts can be combined together to build a more complex customized component. Master modern deployment techniques with Docker and Kubernetes. This book also explains some advanced techniques to control component rendering and improve performance. Companion files with code samples and color figures are available for downloading from the publisher(with Amazon proof of purchase). WebAssembly (abbreviated as Wasm) is a target for modern languages for compilation of more than one language, designed to be highly efficient while maintaining a safe sandbox environment.

Название: Software Programming Basics: AI-Generated Step-by-Step Guide to Help You Start Your Software Programming Journey with Ease
Автор: Vinay Goel
Издательство: Notion Press
Год: 2024
Страниц: 314
Язык: английский
Формат: epub
Размер: 15.0 MB

This book is created with the intent of explaining basic software engineering concepts with short lessons. Nowadays basic programming knowledge is a must have for everyone irrespective of their profession. It will help you visualize how the system, you are interacting with, is working at low level. It will help you in starting your software engineering career. It bridges the gap between a software engineer and a non-software engineer. Software programming is in high demand across various industries. By learning programming skills, you open doors to a wide range of career opportunities, from software development and web development to Data Science, Artificial Intelligence (AI), and cybersecurity. The world of software programming is overwhelming. Embarking on a journey into software programming is both exciting and challenging. One cannot become a software programmer overnight. You need years of hard work and practice to become a proficient software programmer. But the more difficult task is figuring out where to start. The first step is the most difficult step. While it may seem daunting at first, taking the right steps can make the process manageable and rewarding. There are lot of things you have to go through in your software programming journey, like star patterns, C++, Java, Python, jаvascript, react, data structures, OOP, variables, functions, loops, algorithms, time and space complexities, architectures, memory management and lot more. But to understand them, the person should have clear understanding of the basics. This guide aims to provide you with a roadmap for starting your programming journey and building a strong foundation.

Название: Master Vue.js in 6 Days: Become a Vue.js Expert in Under a Week
Автор: Eric Sarrion
Издательство: Apress
Год: 2024
Страниц: 367
Язык: английский
Формат: pdf (true), epub (true)
Размер: 16.8 MB

Prepare for an exciting journey into the world of Vue.js. Organized into six days of learning Vue.js, this book will guide you through the key concepts needed to become a proficient developer with this versatile framework. Backed by clear explanations, concrete examples, hands-on exercises, and development tips, you’ll examine the main ingredients needed to build web user interfaces. From creating components to handling events, delving into HTTP requests, and custom directives, each day promises a new skill and practical knowledge that you can immediately apply to your projects. Whether it's for creating professional web applications or simply expanding your horizons in web development, this book will equip you with the necessary skills to excel in with Vue.js. So, dive into this adventure and become a Vue.js master in just six days! Web Developers, programmers, students, and teachers who are looking to learn or brush up on Vue.js.

Название: The Rust Data Structure Handbook: Theoretical Insights and Practical Techniques for Mastery
Автор: Amir Keivan Shafiei
Издательство: Independently published
Год: 2024
Страниц: 563
Язык: английский
Формат: epub
Размер: 15.3 MB

Dive into the world of efficient programming with "The Rust Data Structure Handbook." This comprehensive guide bridges the gap between theoretical Computer Science and practical implementation, using Rust as a powerful language for data structure design. We aim to introduce Rust as a powerful language for data structure implementation, preparing students for advanced Computer Science courses or technical interviews, and helping working professionals optimize their code using advanced data structures. Whether you are an undergraduate or graduate Computer Science student, a self-taught programmer looking to formalize your knowledge, or an experienced developer wanting to learn Rust, this book is tailored to meet your needs. Our focus spans various industry sectors, from systems programming to web development. Data structures are fundamental constructs in Computer Science that organize and store data for efficient access and modification. They are the building blocks of algorithms and form the foundation of software design. At their core, data structures are abstract models of information organization, providing a logical structure to data independent of its implementation. By the end of this book, you'll have a solid understanding of data structures and the skills to implement them efficiently in Rust. Whether you're aiming to excel in your studies, advance your career, or optimize your projects, "The Rust Data Structure Handbook" is your key to mastering this crucial aspect of Computer Science.