Название: Spring Boot with React and AWS: Learn to Deploy a Full Stack Spring Boot React Application to AWS
Автор: Ravi Kant Soni, Namrata Soni
Издательство: Apress
Год: 2021
Формат: PDF
Страниц: 236
Размер: 13 Mb
Язык: English

Create and deploy full-stack Spring Boot applications with React and AWS. This practical and authoritative guide teaches you the fundamentals of Amazon Web Services with no prior experience.
You will start by learning the fundamentals of AWS, including EC2, S3, IAM, and load balancer. Next, you will learn to deploy a Spring Boot REST API to AWS with Elastic Beanstalk, which will give you the ability to build and deploy a Spring Boot application. You will explore the RDS relational database and create an instance of a MySQL database in AWS with RDS.

Название: Algorithms on Trees and Graphs: With Python Code, Second Edition
Автор: Gabriel Valiente
Издательство: Springer
Год: 2021
Страниц: 392
Язык: английский
Формат: pdf (true), epub
Размер: 41.1 MB

Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, like approximation, combinatorial optimization, graphics, and operations research, graph algorithms have recently attracted increased attention from computational biology, bioinformatics, and computational chemistry. This textbook introduces graph algorithms on an intuitive basis followed by a detailed exposition using structured pseudocode, with correctness proofs as well as worst-case analyses. Centered around the fundamental issue of graph isomorphism, the content goes beyond classical graph problems of shortest paths, spanning trees, flows in networks, and matchings in bipartite graphs. Advanced algorithmic results and techniques of practical relevance are presented in a coherent and consolidated way.

Название: AI Assistants
Автор: Roberto Pieraccini
Издательство: The MIT Press
Год: 2021
Страниц: 290
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

An accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant. Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants.

Название: Учимся программировать с примерами на Python
Автор: Фримен Эрик
Издательство: Диалектика
Год: 2020
Формат: PDF
Страниц: 642
Размер: 115 Mb
Язык: Русский

В мире современных технологий все вокруг нас становится взаимосвязанным, настраиваемым, программируемым и в каком-то смысле компьютерным. Можно оставаться пассивным наблюдателем, а можно научиться программировать. Самое главное - это начать думать как программист. С помощью этой книги вы освоите свой первый язык программирования и узнаете, как заставить компьютер выполнять ваши команды. На примере языка Python вы пошагово изучите базовые концепции программирования и многие фундаментальные темы компьютерных наук, включая структуры данных, файлы, объекты, рекурсию и модульную организацию приложений.

Название: D, the Best Programming Language, for Former Python Developers : Learn D Programming for Python Developers
Автор: Victor Porton
Издательство: Leanpub
Год: 2020-12-31
Страниц: 333
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

A book about D programming language or DLang for Python programmers. “There is no best programming language”, they say. There is, for most applications it is D. The book starts from a comparison of D to Python and teaches all important features of D. D has all the features of Python but speed comparable to C and reliability comparable to Ada! D programming language or DLang for Python programmers: rapid software development of high performance software and a reliable software technology. “There is no best programming language”, they say. There is, for most applications it is D.

Название: Practical Linear Algebra for Machine Learning
Автор: Amirsina Torf
Издательство: Instill AI
Год: December, 2020
Язык: английский
Формат: pdf (true)
Размер: 10.18 MB

Whether you want to learn Machine Learning for your work or research or you want to become a master, so the others pay you to do it, you need to know how it works. For knowing how it works, you NEED TO KNOW Linear Algebra, which is the foundation of Machine Learning. BUT Linear Algebra is too boundless! In this book, you will get what is NECESSARY. I have been blogging about Machine Learning for a while and after searching and searching I realized there is a deficiency of an organized book which (1) teaches the most used Linear Algebra concepts in Machine Learning, (2) provides practical notions using everyday used programming languages such as Python, and (3) be concise and NOT unnecessarily lengthy.

Название: Learn Penetration Testing with Python 3.x: Perform Offensive Pentesting and Prepare Red Teaming to Prevent Network Attacks
Автор: Yehia Elghaly
Издательство: BPB Publications
Год: 2022
Формат: ePUB
Страниц: 699
Размер: 10 Mb
Язык: English

This book starts with an understanding of penetration testing and red teaming methodologies and teaches Python 3.x from scratch for those who are not familiar with programming. The book gives the skills of how to create scripts for cracking, and brute force attacks.
The second part of this book focuses on the network and wireless level. The book teaches you the skills of how to create an offensive tool using Python 3.x to identify different services and ports using different Python network modules and conducting network attacks. In the network monitoring section, you will be able to monitor layers 3 and 4. And finally, you will be able to conduct different attacks on wireless.

Название: Foundational Python for Data Science
Автор: Kennedy R. Behrman
Издательство: Addison-Wesley/Pearson Education
Год: 2022
Страниц: 256
Язык: английский
Формат: epub
Размер: 17.9 MB

Data science and Machine Learning (ML) two of the worlds hottest fields are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the worlds #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning.

Название: Programming in Visual Basic (VB): For Visual Studio
Автор: Olga Maria Stefania Cucaro
Издательство: ResearchFreelance
Год: 2021
Страниц: 174
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This work was born from the necessity found by the author to solve various problems repeated over time, concerning the data inserted in Excel sheets in the shortest possible time. The author, being a programmer and expert in Pascal, Cobol and jаvascript, searched for the most suitable solution and found it in the Excel VBA and in the Visual Studio VB. This document is intended to introduce users to programming in general and to programming in Visual Basic in particular. The VB is simple and can be used on existing csv files or data entered directly into Visual Studio, quickly processing a large amount of data. For the moment the only tool we need is Visual Studio and the csv files. Of course, I can't go into the intricacies of the databases that I will definitely include in a future book.

Название: An Introduction to Machine Learning, Third Edition
Автор: Miroslav Kubat
Издательство: Springer
Год: 2021
Страниц: 458
Язык: английский
Формат: pdf (true), epub
Размер: 18.3 MB

This textbook offers a comprehensive introduction to Machine Learning (ML) techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hidden Markov models, and a much more detailed treatment of reinforcement learning. The book is written in an easy-to-understand manner with many examples and pictures, and with a lot of practical advice and discussions of simple applications.