Python
Giuseppe Ciaburro
Simulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict their performance in the real world. With this comprehensive guide, you'll understand various computational statistical simulations using Python.Starting with the fundamentals of simulation modeling, you'll understand concepts such as randomness and explore data generating processes, resampling methods, and bootstrapping techniques. You'll then cover key algorithms such as Monte Carlo simulations and Markov decision processes, which are used to develop numerical simulation models, and discover how they can be used to solve real-world problems. As you advance, you'll develop simulation models to help you get accurate results and enhance decision-making processes. Using optimization techniques, you'll learn to modify the performance of a model to improve results and make optimal use of resources. The book will guide you in creating a digital prototype using practical use cases for financial engineering, prototyping project management to improve planning, and simulating physical phenomena using neural networks.By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges.
Nimesh Verma, Brian Allbee
Software Engineering is about more than just writing code—it includes a host of soft skills that apply to almost any development effort, no matter what the language, development methodology, or scope of the project. Being a senior developer all but requires awareness of how those skills, along with their expected technical counterparts, mesh together through a project's life cycle. This book walks you through that discovery by going over the entire life cycle of a multi-tier system and its related software projects. You'll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process. The development of the entire project, over the course of several iterations based on real-world Agile iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world—Python. Application of practices in Python will be laid out, along with a number of Python-specific capabilities that are often overlooked. Finally, the book will implement a high-performance computing solution, from first principles through complete foundation.
Giuseppe Bonaccorso
Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python.This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images.By the end of this book, you will have learned the art of unsupervised learning for different real-world challenges.
Luca Venturi, Krishtof Korda
The visual perception capabilities of a self-driving car are powered by computer vision. The work relating to self-driving cars can be broadly classified into three components - robotics, computer vision, and machine learning. This book provides existing computer vision engineers and developers with the unique opportunity to be associated with this booming field.You will learn about computer vision, deep learning, and depth perception applied to driverless cars. The book provides a structured and thorough introduction, as making a real self-driving car is a huge cross-functional effort. As you progress, you will cover relevant cases with working code, before going on to understand how to use OpenCV, TensorFlow and Keras to analyze video streaming from car cameras. Later, you will learn how to interpret and make the most of lidars (light detection and ranging) to identify obstacles and localize your position. You’ll even be able to tackle core challenges in self-driving cars such as finding lanes, detecting pedestrian and crossing lights, performing semantic segmentation, and writing a PID controller.By the end of this book, you’ll be equipped with the skills you need to write code for a self-driving car running in a driverless car simulator, and be able to tackle various challenges faced by autonomous car engineers.
Harpreet Singh, Himanshu Sharma
Metasploit has been a crucial security tool for many years. However, there are only a few modules that Metasploit has made available to the public for pentesting web applications. In this book, you'll explore another aspect of the framework – web applications – which is not commonly used. You'll also discover how Metasploit, when used with its inbuilt GUI, simplifies web application penetration testing. The book starts by focusing on the Metasploit setup, along with covering the life cycle of the penetration testing process. Then, you will explore Metasploit terminology and the web GUI, which is available in the Metasploit Community Edition. Next, the book will take you through pentesting popular content management systems such as Drupal, WordPress, and Joomla, which will also include studying the latest CVEs and understanding the root cause of vulnerability in detail. Later, you'll gain insights into the vulnerability assessment and exploitation of technological platforms such as JBoss, Jenkins, and Tomcat. Finally, you'll learn how to fuzz web applications to find logical security vulnerabilities using third-party tools. By the end of this book, you'll have a solid understanding of how to exploit and validate vulnerabilities by working with various tools and techniques.
Anish Chapagain
Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies.The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs.By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.
Hello World! Przygoda z programowaniem dla dzieci i absolutnie początkujących. Wydanie II
Warren Sande, Carter Sande
Nauka programowania to świetny pomysł, ale musimy Cię ostrzec: programowanie wciąga! Jeśli nauczysz się porozumiewać z komputerem w jego języku, szybko zorientujesz się, że napisanie własnej gry, skryptu do złożonych obliczeń czy funkcjonalnej aplikacji do codziennego użytku daje wielką satysfakcję i sprawia mnóstwo radości. Co więcej, programowania można nauczyć się niemal w każdym wieku. Wystarczy odrobina cierpliwości i konsekwencji! Trzymasz w ręce chyba najlepszy podręcznik do nauki programowania dla osób absolutnie początkujących — nawet takich, które komputera używają wyłącznie do przeglądania stron i obsługi poczty. W sposób szczególny nadaje się on dla dzieci, ale skorzystają z niego również dorośli, którzy chcą poznać podstawy programowania. Jasno i klarownie przedstawiono tu wszystkie niezbędne informacje, a liczne (bardzo zabawne) przykłady pozwalają na głębsze zrozumienie prezentowanych treści. Nauka odbywa się w języku Python. Jest to język łatwy w nauce, a przy tym bardzo popularny i wciąż rozwijany. Co więcej, przyswojenie sobie Pythona pozwala na szybką naukę innych języków! W tym podręczniku znajdziesz informacje m.in. o tym: jak przygotować się do pracy: zainstalować Pythona i napisać pierwsze linie kodu czym są i do czego służą zmienne, typy danych, operatory czym jest GUI i jak go napisać jakie są rodzaje pętli, co to są funkcje i na czym polega obsługa zdarzeń jak przygotować symulacje komputerowe Witaj w niezwykłym świecie programowania! Warren Sande — jest inżynierem systemów elektronicznych. Na co dzień korzysta z Pythona zarówno do nauczania programowania, jak i do pisania w pełni profesjonalnych skryptów. Carter Sande — jest uczniem o wielkiej pasji do technologii. Troszczy się o szkolną sieć informatyczną, chętnie pomaga kolegom w rozwiązywaniu problemów z komputerami, a ponadto uwielbia jeździć na rowerze i grać w stare gry wideo.
Jeremy Wallace
As enterprises adopt multi-cloud and DevOps at scale, securing identities and access across complex cloud environments is no longer optional, it is mission-critical. Identity and Access Management for Cloud and DevOps Engineers is a hands-on guide for professionals who need to design and manage IAM solutions across Azure, AWS, and Google Cloud, while meeting modern security and compliance demands. Written for cloud architects, DevOps engineers, and IT security professionals, this book delivers practical tools, automation techniques, and forward-looking strategies to master IAM.You’ll start with IAM foundations such as least privilege, zero trust, MFA, RBAC, and ABAC, then move into platform-specific implementations in Azure, AWS, and GCP. With each concept mapped to real-world workflows, you'll also learn how to automate IAM using Terraform and Infrastructure as Code, integrate identity controls into CI/CD pipelines, and secure access across hybrid and multi-cloud environments. Each chapter features hands-on examples, best practices, and case studies.This book goes beyond teaching the basics. It empowers you to lead security-first initiatives. Whether you’re building a greenfield cloud IAM architecture or fixing legacy access risks in your DevOps pipelines, this is your blueprint for scalable, future-ready identity governance.