Название: Zero to Py: A Comprehensive Guide to Learning the Python Programming Language (Updated)
Автор: Michael Green
Издательство: Leanpub
Год: 2023-03-11
Страниц: 320
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

A comprehensive guide to learning the Python programming language, written so to be accessible to readers of all levels, from beginner Python developers to those who have some experience with Python. Even more advanced users may find some utility from the later chapters. Python is a powerful and versatile programming language that is widely used across many different industries. From Data Science and Machine Learning to web development and automation, Python is a go-to choice for many developers due to its ease of use and its vast developer ecosystem. This book aims to be a comprehensive guide to learning the Python Programming Language, covering all the essential concepts and topics that a Python developer needs to know. This book has been written so to be accessible to readers of all levels, whether you're just starting your journery into programming, or already have some experience with Python. Even more advanced users may find some utility from the later chapters.

Название: Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected dаta: Driving Business Outcomes with Connected Data (Final)
Автор: Victor Lee, Phuc Kien Nguyen, Xinyu Chang
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 290
Язык: английский
Формат: epub (true)
Размер: 16.9 MB

With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available. You'll explore a three-stage approach to deriving value from connected dаta: connect, analyze, and learn. Victor Lee, Phuc Kien Nguyen, and Alexander Thomas present real use cases covering several contemporary business needs. By diving into hands-on exercises using TigerGraph Cloud, you'll quickly become proficient at designing and managing advanced analytics and machine learning solutions for your organization. The goal of this book is to introduce you to the concepts, techniques, and tools for graph data structures, graph analytics, and graph Machine Learning. When you’ve finished the book, we hope you’ll understand how graph analytics can be used to address a range of real-world problems.

Название: Python Programming: Pandas Across Examples
Автор: Cesar Perez Lopez
Издательство: Independently published
Год: 2023
Страниц: 396
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

Pandas is a Python package that provides fast and flexible data structures designed to make working with "relational" or "labeled" data easy and intuitive. Its goal is to be the fundamental, high-level building block for doing practical analysis of real-world data in Python. Furthermore, it has the larger goal of becoming the most powerful, flexible, and available in any language open source data manipulation/analysis tool. The two main data structures in Pandas are: Series for one-dimensional data and DataFrames for two-dimensional data. Both frameworks handle the vast majority of typical use cases in finance, statistics, social sciences, and many areas of engineering. For R users, the DataFrame provides everything that R data.frame offers, and much more. pandas is based on NumPy and is designed to integrate well into a scientific computing environment with many other third-party libraries. Pandas facilitates the work in Data Science. For data scientists, working with data is typically divided into several stages: collecting and cleaning data, analyzing/modeling it, and then organizing the analysis results in a form suitable for graphing or displaying in tabular form. pandas is a help tool for all these tasks. Also Pandas has been widely used in the production of financial applications. Also Pandas works with Big Data.

Название: Machine Learning for Healthcare Systems: Foundations and Applications
Автор: C. Karthik, M. Rajalakshmi, Sachi Nandan Mohanty
Издательство: River Publishers
Год: 2023
Страниц: 251
Язык: английский
Формат: pdf (true)
Размер: 25.7 MB

This book provides various insights into Machine Learning techniques in healthcare system data and its analysis. Recent technological advancements in the healthcare system represent cutting-edge innovations and global research successes in performance modelling, analysis, and applications. The extensive use of machine learning in numerous industries, including healthcare, has been made possible by advancements in data technologies, including storage capacity, processing capability, and data transit speeds. The need for a personalized medicine or ""precision medicine"" approach to healthcare has been highlighted by current trends in medicine due to the complexity of providing effective healthcare to each individual. Personalized medicine aims to identify, forecast, and analyze diagnostic decisions using vast volumes of healthcare data so that doctors may then apply them to each unique patient. These data may include, but are not limited to, information on a person's genes or family history, medical imaging data, drug combinations, patient health outcomes at the community level, and natural language processing (NLP) of pre-existing medical documentation.

Название: An Introduction to Software Design: Concepts, Principles, Methodologies, and Techniques
Автор: Chenglie Hu
Издательство: Springer
Год: 2023
Страниц: 368
Язык: английский
Формат: pdf (true), epub
Размер: 43.6 MB

This textbook provides a balanced coverage on software design, including design principles, methodologies, and techniques in contexts of designing modules of small and larger sizes with a multi-paradigm viewpoint emphasizing design trade-off. Commonly used design diagrams and patterns are also covered in terms of the design ideas behind and their effective use. The book also explores what (software) design thinking is, the role it plays in a design process, and ways to promote it. Despite object orientation being still the center of attention, there is a strong promotion throughout the book that software design should consider all appropriate design paradigms and methodologies. Chapter 1 is dedicated to an exploration of what software design may be and entail. Design is a way of thinking; therefore, “design thinking”—a widely publicized mode of critical thinking in the recent years—is prompted in the book. Readers are expected to have appropriate knowledge in data structures. However, it is not assumed that readers have also gained good understanding about the paradigm of object orientation. Thus, Chaps. 2 and 3 are designed to help readers better understand object orientation and the essentials of object-oriented design. Methods, standalone or being part of larger units, are essential program units, and design of methods may significantly impact the design attributes of enclosing modules, subsystems, or even the entire system.

Название: Deep Learning Foundations
Автор: Taeho Jo
Издательство: Springer
Год: 2023
Страниц: 433
Язык: английский
Формат: pdf (true), epub
Размер: 36.5 MB

This book provides a conceptual understanding of Deep Learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The first part provides traditional supervised learning, traditional unsupervised learning, and ensemble learning, as the preparation for studying deep learning algorithms. The second part deals with modification of existing Machine Learning algorithms into Deep Learning algorithms. The book’s third part deals with deep neural networks, such as Multiple Perceptron, Recurrent Networks, Restricted Boltzmann Machine, and Convolutionary Neural Networks. The last part provides deep learning techniques that are specialized for text mining tasks. The book is relevant for researchers, academics, students, and professionals in Machine Learning. Readers need the basic level of knowledge about linear algebra, vector calculus, and traditional Machine Learning algorithms for understanding the Deep Learning algorithms.

Название: Digital transformation with Dataverse: Become a citizen Developer and Lead the Digital Transformation Wave with Microsoft Teams and Power Platform
Автор: Aaron Brooke
Издательство: BPB Publications
Год: 2022
Страниц: 228
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 10.2 MB

Microsoft Dataverse for Teams is a low-code data platform built into Microsoft Teams that allows anybody to create and deploy apps, processes, and intelligent chatbots utilizing Power Apps, Power Automate, and Power Virtual Agents (PVA). You will be able to construct apps using step-by-step instructions for building up Teams, generating tables to hold data, and leveraging the data for your digital solutions without having to learn any coding languages. You'll be able to create your first app with Dataverse for Teams in under an hour if you follow the ideas in the book. You will learn how to use Power Automate and Power Virtual Agents to automate repetitive processes and create alerts. As you gain experience constructing these digital solutions, you'll be able to tell when it's time to upgrade from Dataverse for Teams to Dataverse, which includes more advanced features. Finally, you will learn about the administration and governance aspects of Microsoft Dataverse for Teams and PowerApps, as well as the license needs.

Название: Python for OSINT. 21-day course for beginners
Автор: cyb_detective
Издательство: Independently published
Год: May 2023
Страниц: 137
Язык: английский
Формат: pdf (true)
Размер: 19.0 MB

Who Is This Course For? I'm primarily doing a course for followers of my Twitter account, in which I post tweets about OSINT (Open Source Intelligence). For those who are professionally involved or just interested in open data investigations and research. If you use (or plan to use) OSINT tools written in Python, but you're not satisfied with the standard functionality and would like to modify them a bit, this course will help you learn how to do that as quickly as possible. Also, this course will help you to automate various routine tasks related to investigations: processing data from API, collecting data from websites, collecting search results, working with Internet archives, creating reports and data visualization. The main goal of the course is not to teach you how to write Python code, but to teach you to spend less time on routine OSINT tasks. So, in addition to code examples, I will also give you links to different services that will help you solve different problems. This course will also be useful for those who are far from Computer Science and want to raise their technical level a little, try to use Linux, learn to work with the command line and understand different popular IT terms like "JSON", "API", "WHOIS" etc.

Название: 1400 задач по программированию
Автор: Златопольский Д. М.
Издательство: Москва
Год: 2020
Cтраниц: 192
Формат: pdf (ocr)
Размер: 34 мб
Язык: русский

Овладеть искусством программирования невозможно без решения задач разного типа и уровня сложности. В данной книге читатель найдет более 1400 задач, охватывающих широкий круг тем: вычисления по формулам, обработка данных во время ввода, использование массивов и многие другие. Задачи не привязаны к конкретному языку программирования и могут быть решены в программе на любом языке – Pascal, Python, С, школьном алгоритмическом языке и др.

Название: Java from EPAM: Учебно-методическое пособие, 2-е изд.
Автор: Блинов И.Н., Романчик В.С.
Издательство: Четыре четверти
Год: 2021
Страниц: 556
Язык: русский
Формат: pdf
Размер: 11,4 MB

Второе издание пособия предназначено для программистов, начинающих и продолжающих изучение технологий Java SE. В книге рассматриваются основы языка Java и концепции объектно-ориентированного и функционального программирования. Также изложены аспекты применения библиотек классов языка Java, включая файлы, коллекции, Stream API, сетевые и многопоточные приложения, а также взаимодействие с СУБД и XML. В конце каждой главы даются теоретические вопросы по изученной главе, тестовые вопросы по материалу главы и задания для выполнения. В приложениях приведены дополнительные материалы с кратким описанием технологий Log4J2 и TestNG.