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Название: Безопасность веб-приложений на Python. Криптография, TLS и устойчивость к атакам
Автор: Деннис Бирн
Издательство: ДМК Пресс
Год: 2023
Страниц: 336
Язык: русский
Формат: pdf
Размер: 10.17 MB

В этой книге подробно рассказывается о нюансах написания безопасного кода на Python. В первой части излагаются основы криптографии: рассмотрены базовые понятия, проверка подлинности данных, симметричное и асимметричное шифрование. Вторая часть содержит пошаговые инструкции для воплощения типичных сценариев взаимодействия пользователя с приложением. В третьей части показано, как противостоять атакам разного рода. Все примеры кода воспроизводят реальные задачи, стоящие перед разработчиками. Книга будет полезна как начинающим программистам, так и профессионалам, заинтересованным в повышении безопасности сервисов, которые они поддерживают. Все примеры кода воспроизводят реальные задачи, стоящие перед разработчиками. Эта книга будет наиболее полезна тем, кто поддерживает уже работающие сервисы. Читателю потребуются начальные знания Python либо хорошее знакомство с другим популярным языком программирования.

Название: Essentials of C Programming with Microsoft Visual Studio
Автор: Farzin Asadi
Издательство: Springer
Год: 2023
Страниц: 338
Язык: английский
Формат: pdf (true)
Размер: 30.3 MB

This book provides a compact but comprehensive treatment that guides readers through the C programming language with Microsoft® Visual Studio®. The author uses his extensive classroom experience to guide readers toward deeper understanding of key concepts of the C language. Each concept and feature of the language is presented as a short lesson, illustrated by practical worked examples to aid student self study. The book will appeal to a broad range of students who are required to study the C programming language. Generally, C programming is the first programming course that students of engineering and science take. This book is written to support a first course on C programming language. There is no prerequisite for this book. This book contains many examples to show how different tasks can be done in C. All of the given examples are tested in Microsoft Visual Studio to ensure that they work properly without any error.

Название: Combine: Asynchronous Programming with Swift (4th Edition)
Автор: Shai Mishali, Florent Pillet, Marin Todorov
Издательство: Kodeco
Год: 2023
Страниц: 430
Язык: английский
Формат: pdf (true)
Размер: 23.0 MB

Learn all about declarative asynchronous programming with Swift using the Combine framework!Writing asynchronous code can be challenging, with a variety of possible interfaces to represent, perform, and consume asynchronous work — delegates, notification center, KVO, closures, etc. Juggling all of these different mechanisms can be somewhat overwhelming. Does it really have to be this hard? Not anymore!

With Apple’s introduction of the Combine framework in WWDC 2019, it is clear that Apple aims to position declarative and reactive programming in Swift as a long-term investment and a game-changer in how developers perform and compose pieces of asynchronous work, making it a must-have tool at your disposal. The introduction of Combine as a built-in framework in Apple’s ecosystem is promising news to developers who were interested in frameworks such as RxSwift or ReactiveSwift, but didn’t want the overhead of a third-party dependency; and while experience with either of the above could be useful, it is not a prerequisite for this book. You’ll learn everything from the ground up to become a true Combine master.

Название: Advanced Apple Debugging & Reverse Engineering (4th Edition)
Автор: Walter Tyree
Издательство: Kodeco
Год: 2023
Страниц: 556
Язык: английский
Формат: pdf (true)
Размер: 42.0 MB

Learn the powerful secrets of Apple’s software debugger, LLDB! In Advanced Apple Debugging & Reverse Engineering, you’ll come to realize debugging is an enjoyable process to help you better understand software. Not only will you learn to find bugs faster, but you’ll also learn how other developers have solved problems similar to yours. You’ll also learn how to create custom, powerful debugging scripts that will help you quickly find the secrets behind any bit of code that piques your interest. After reading this book, you’ll have the tools and knowledge to answer even the most obscure question about your code — or someone else’s. Debugging has a rather bad reputation. I mean, if the developer had a complete understanding of the program, there wouldn’t be any bugs and they wouldn’t be debugging in the first place, right? Don’t think like that. There are always going to be bugs in your software - or any software, for that matter. No amount of test coverage imposed by your product manager is going to fix that. This book is for intermediate-to-advanced iOS/macOS developers who are already familiar with either Swift or Objective-C and want to take their debugging skills to the next level.

Название: Основы программирования на языке Python
Автор: Златопольский Д. М.
Издательство: ДМК
Год: 2018 - 2-ое изд., испр. и доп.
Cтраниц: 396
Формат: pdf (ocr)
Размер: 40 мб
Язык: русский

Если вы хотите научиться программировать на языке Python, который в последнее время становится популярным у нас в стране и за рубежом, то эта книга — для вас.

Название: Optimization Algorithms: AI techniques for design, planning, and control problems (MEAP v8)
Автор: Alaa Khamis
Издательство: Manning Publications
Год: 2023
Страниц: 666
Язык: английский
Формат: pdf
Размер: 23.4 MB

Solve design, planning, and control problems using modern machine learning and AI techniques. Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems. Inside you’ll find a wide range of optimization methods, from deterministic and stochastic derivative-free optimization to nature-inspired search algorithms and machine learning methods. Don’t worry—there’s no complex mathematical notation. You’ll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world. Without assuming any prior knowledge of search and optimization and with an intermediate knowledge of data structures and Python, this book has been written to take most anyone from never solving search and optimization problems to being a well-rounded search and optimization practitioner able to select, implement and adapt the right solver for the right problem.

Название: Programming and Scientific Computing in Python
Автор: J.M. Hoekstra, J. Ellerbroek
Издательство: TUDelft
Год: 2022 (v.6.0)
Страниц: 222
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The first version of this reader was developed for, and during the pilot of, the Programming course in the first year of the BSc program Aerospace Engineering at the Delft University of Technology in 2012. Originally it was written for Python 2 and then converted to Python 3. The course assumes some mathematical skills, but no programming experience whatsoever. This document is provided as a reference for the elaboration of the assignments. The reader is encouraged to read through the relevant chapters applicable to a particular problem. For later reference, many tables, as well as some appendices with quick reference guides, have been included. These encompass the most often used functions and methods. For a complete overview, there is the excellent documentation as provided with Python in the IDLE Help menu, as well as the downloadable and on-line documentation for the Python modules NumPy, SciPy, Matplotlib and Pygame. Also, the set-up of the present course is to show the appeal of programming. Having this powerful tool at hand allows the reader to use the computer as a ‘mathematical slave’. And by making models, one basically has the universe in a sandbox at one’s disposal: Any complex problem can be programmed and displayed, from molecular behaviour to the motion in a complex gravity field in space.

Название: Программирование на языке Ruby
Автор: Фултон X.
Издательство: Профобразование
Год: 2019
Cтраниц: 685
Формат: pdf
Размер: 60 мб
Язык: русский

Ruby - относительно новый объектно-ориентированный язык, разработанный Юкихиро Мацумото в 1995 году и позаимствовавший некоторые особенности у языков LISP, Smalltalk, Perl, CLU и других. Язык активно развивается и применяется в самых разных областях: от системного администрирования до разработки сложных динамических сайтов. Книга является полноценным руководством по Ruby - его можно использовать и как учебник, и как справочник, и как сборник ответов на вопросы типа «как сделать то или иное в Ruby».

Название: Sequential Decision Analytics and Modeling: Modeling with Python
Автор: Warren B Powell
Издательство: Now Publishers
Год: 2022
Страниц: 316
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Sequential decision problems arise in virtually every human process. They span finance, energy, transportation, health, e-commerce, and supply chains and include pure learning problems that arise in laboratory or field experiments. They even cover search algorithms to maximize uncertain functions. An important dimension of every problem setting is the need to make decisions in the presence of different forms of uncertainty and evolving information processes. The goal of this book is to enable readers to understand how to approach, model and solve a sequential decision problem. To that end, it uses a teach-by-example style to illustrate a modeling framework that can represent any sequential decision problem. The presentation should not require mathematics beyond what would be expected in a first course on probability and statistics. This said, the book is centered on showing how to describe sequential decision problems using notation that is precise enough that it can be the basis of computer software. Python modules accompany most of the chapters; these modules were written around the modeling framework that runs throughout the book. At the same time, any software package that simulates a sequential decision problem, regardless of how it is being solved, can be translated directly into the modeling framework we use. For this reason, we encourage readers to look at any piece of notation as a variable in a computer program.

Название: Python for Scientists (3rd Edition)
Автор: John M. Stewart
Издательство: Cambridge University Press
Год: 2023
Страниц: 301
Язык: английский
Формат: pdf
Размер: 10.2 MB

The third edition of this practical introduction to Python has been thoroughly updated, with all code migrated to Jupyter notebooks. The notebooks are available online with executable versions of all of the book's content (and more). The text starts with a detailed introduction to the basics of the Python language, without assuming any prior knowledge. Building upon each other, the most important Python packages for numerical math (NumPy), symbolic math (SymPy), and plotting (Matplotlib) are introduced, with brand new chapters covering numerical methods (SciPy) and data handling (Pandas). Further new material includes guidelines for writing efficient Python code and publishing code for other users. Simple and concise code examples, revised for compatibility with Python 3, guide the reader and support the learning process throughout the book. Readers from all of the quantitative sciences, whatever their background, will be able to quickly acquire the skills needed for using Python effectively.