Programowanie
Niezależnie czy dopiero rozpoczynacie swoją przygodę z programowaniem, czy jesteście już uznanymi na rynku profesjonalistami, to w kategorii Programowanie na pewno znajdziecie podręczniki, które pomogą Wam w przebiegu pracy, czy też w nauce podstaw programowania.
W książkach z tego działu zawarta jest wiedza zarówno związana z czysto technicznymi sprawami typu składnia języków, ale także z umiejętnościami bardziej "miękkimi" jak obsługa i wykorzystanie pełnych możliwości środowisk programistycznych, czy też projektowanie oprogramowania lub metody numeryczne czy oraz struktury danych.
Josh Goldberg
Rozwiń swoje umiejętności programistyczne korzystając z bezpiecznego typologicznie JavaScriptu TypeScript podbił świat JavaScriptu. Badania prowadzone wśród programistów dowodzą, że TypeScript jest najszybciej rozwijającym się i najpopularniejszym językiem wykorzystywanym w przedsiębiorstwach na całym świecie. Często przypisuje się mu zasługi za możliwość skalowania ogromnych aplikacji internetowych. Czym jednak jest TypeScript? Jak i dlaczego działa? I jak możemy z niego korzystać? Ta praktyczna książka poprowadzi początkujących i zaawansowanych programistów JavaScriptu, którzy nie znają jeszcze koncepcji „typów” i „systemów typowania”, ku doskonałej znajomości podstaw języka TypeScript. Z tej książki dowiesz się: • Jakie korzyści płyną z korzystania z języka TypeScript, a także jakie są ogólne zasady systemu typowania, wzbogacającego podstawową składnię JavaScriptu • Jak korzystać z systemu typowania TypeScriptu za pomocą adnotacji typów podczas tworzenia programu • Jak TypeScript analizuje i przetwarza kod, dzięki czemu rozwiniesz swoje dotychczasowe wzorce programistyczne • Jak TypeScript ułatwia korzystanie z tablic, klas, funkcji, obiektów i innych istotnych wbudowanych elementów składni JavaScriptu • Jak skutecznie wykorzystać ogrom opcji konfiguracyjnych TypeScriptu, aby dopasować kompilator tego języka do potrzeb swojego zespołu i projektów • Jak korzystać z różnorodnych dodatków środowiska IDE, umożliwiających np. automatyczną refaktoryzację oraz inteligentne wyszukiwanie kodu TypeScript, ułatwiających szybkie rozwijanie kodu zawierającego mniejszą liczbę błędów „Poznaj TypeScript jest doskonałą, przyjazną dla czytelnika książką. Josh omawia kluczowe aspekty TypeScriptu bez zagłębiania się w niepotrzebne szczegóły.” —Ryan Cavanaugh Główny kierownik ds. inżynierii oprogramowania w firmie Microsoft; kierownik ds. rozwoju, TypeScript „Na stronach tej książki od razu dostrzega się doświadczenie Josha. Treść jest nie tylko pełna cennych informacji, ale również ciekawa i wciągająca.” —Cassidy Williams Developer Experience Engineer, doradca startupów i inwestor Josh Goldberg zajmuje się utrzymaniem oprogramowania open source, a także jest konsultantem oprogramowania i przyczynia się do rozwoju TypeScriptu oraz związanych z nim projektów, takich jak typescript-eslint i TypeStat. Wcześniej Josh pracował na stanowisku staff frontend dewelopera w zespole rozwijającym platformę internetową Codecademy, gdzie był orędownikiem używania TypeScriptu i pomógł w utworzeniu firmowego kursu poświęconego nauce tego języka.
Praca z zastanym kodem. Najlepsze techniki
Michael Feathers
Naucz się pracować na gotowych projektach! Programiści uwielbiają brać udział w nowych projektach, być świadkami ewolucji kodu, mieć wpływ na wybór narzędzi i projektować ich architekturę. Niestety, w ogromnej większości przypadków muszą pracować z kodem mającym wiele lat i pisanym przez wiele osób. Jak sobie poradzić w takim środowisku? Jak dobrać techniki pracy do gotowego kodu? Na te i wiele innych podobnych pytań odpowiada ten wyjątkowy podręcznik. Dzięki niemu dowiesz się, jak wprowadzać zmiany w zastanym kodzie, tworzyć testy automatyczne oraz modyfikować architekturę rozwiązania. Ponadto poznasz najlepsze techniki pracy z projektami niezorientowanymi obiektowo oraz przekonasz się, że można skutecznie poradzić sobie z przerośniętymi klasami i metodami. Ostatnia część książki została poświęcona technikom usuwania zależności. Ten podręcznik to lektura obowiązkowa każdego programisty. Dzięki niemu Twoja praca z zastanym kodem nabierze nowego sensu. Musisz ją mieć! Dzięki tej książce: poradzisz sobie z zastanym kodem nauczysz się wprowadzać w nim zmiany zastosujesz testy automatyczne przeprowadzisz skuteczną refaktoryzację Praca z zastanym kodem nie musi być nużąca! Inżynieria oprogramowania Wydobądź więcej z zastanych systemów: Lepsza wydajność, większa niezawodność, więcej funkcjonalności i łatwiejsze zarządzanie Czy Twój kod łatwo poddaje się zmianom? Czy dostajesz niemal bezzwłoczne informacje zwrotne, gdy go zmieniasz? Czy go rozumiesz? Jeśli odpowiedź na dowolne z tych pytań brzmi nie, masz do czynienia z cudzym kodem, który wysysa czas i pieniądze z nakładów, które przeznaczasz na jego rozwój. W książce tej Michael Feathers oferuje całościowe strategie dotyczące efektywniejszej pracy z dużymi i nieprzetestowanymi cudzymi bazami kodu. Książka jest oparta na materiałach przygotowanych na potrzeby słynnych seminariów Object Mentor - technik, z których Michael korzystał, aby pomóc setkom programistów, kierowników technicznych i testerów w uzyskaniu kontroli nad zastanymi systemami. Tematyka książki obejmuje: Zrozumienie mechaniki zmian w oprogramowaniu: dodawanie funkcjonalności, naprawiania błędów, poprawianie projektu oraz optymalizacja wydajności. Umieszczanie cudzego kodu w jarzmie testowym. Pisanie testów, które zabezpieczą Cię przed wprowadzaniem do kodu nowych problemów. Techniki, które można wykorzystać w dowolnym języku i na dowolnej platformie, z przykładami w Javie, C++, C i C#. Dokładne określanie miejsc, w których należy zmienić kod. Zmaganie się z cudzymi systemami, które nie są zorientowane obiektowo. Radzenie sobie z aplikacjami, które zdają się nie mieć żadnej struktury. Książka ta zawiera również katalog dwudziestu czterech technik usuwania zależności, które pomogą Ci w pracy z odizolowanymi elementami programu oraz spowodują, że wprowadzanie w nim zmian będzie bezpieczniejsze.
Pracownia Urządzeń Techniki Komputerowej dla ucznia i studenta
Jerzy Kluczewski
PRACOWNIA URZĄDZEŃ TECHNIKI KOMPUTEROWEJ DLA UCZNIÓW I STUDENTÓW – Część 1 to zbiór przykładów i zadań opracowany pod kątem praktycznych zagadnień laboratoryjnych. Znajdziemy tu symulacje obwodów pomagających zrozumieć świat elektroniki analogowej i cyfrowej. Przedstawiono sposoby badań układów i parametrów podzespołów komputerowych jak i całych urządzeń. Napisanie idealnego zbioru ćwiczeń laboratoryjnych jest bardzo trudne. Dlatego autor nie zawarł wszystkich możliwych zagadnień związanych z zasadą działania komputera i jego budowy, ale zostawił sobie furtkę do kontynuowania tematyki, co ma zamiar przedstawić w kolejnych częściach książki. Książka dedykowana jest uczniom, studentom i nauczycielom. Zawiera materiały pomocnicze dla przedmiotów związanych z urządzeniami techniki komputerowej. Może być wykorzystana w laboratoriach studenckich jak i na kursach branżowych IT Essentials dostępnych w Akademiach Cisco oraz kursach zawodowych KKZ. Zagadnienia omawiane w książce mogą być poruszane na przedmiotach o różnych nazwach jak i różnych formach (teoretyczny przedmiot zawodowy, praktyczny przedmiot zawodowy). Zakres tematyczny i jego podział na zawody i semestry dla poszczególnych szkół może być także różny, lecz generalnie jest on nauczany w zawodzie technik informatyk i technik teleinformatyk oraz technik programista. Autorem książki jest Jerzy Kluczewski, długoletni instruktor Akademii CISCO CCNA. W swoim dorobku autorskim posiada już wiele publikacji książkowych i zbiory zadań o tematyce związanej z sieciami komputerowymi. Swoje doświadczenie zdobywał podczas pracy w przemyśle, obecnie jest wykładowcą w Wyższej Szkole Bankowej w Gdańsku.
Pracownia Urządzeń Techniki Komputerowej dla uczniów i studentów Część-2
Jerzy Kluczewski
PRACOWNIA URZĄDZEŃ TECHNIKI KOMPUTEROWEJ DLA UCZNIÓW I STUDENTÓW – Część 2 to zbiór przykładów, ćwiczeń i zadań opracowany pod kątem praktycznych zagadnień laboratoryjnych bazujących na symulacjach. Znajdziemy tu symulacje obwodów pomagających zrozumieć świat elektroniki cyfrowej i zasad na podstawie których działają komputery. Przedstawiono zasady projektowania, badania i programowania układów cyfrowych. Książka dedykowana jest uczniom, studentom i nauczycielom. Zawiera materiały pomocnicze dla przedmiotów związanych z elektroniką cyfrową i urządzeniami techniki komputerowej. Może być wykorzystana w laboratoriach studenckich jak i na kursach branżowych. Omawia podstawy algebry Boole’a, minimalizację funkcji logicznych i zagadnienia związane z programowaniem. Omówione zostały układy kombinacyjne, sekwencyjne i pamięci w postaci konkretnych układów scalonych. Cennym dodatkiem do książki jest możliwość pobrania plików ćwiczeń, przykładów i prezentacji przygotowanych przez autora.
Daniel Oh, James Freeman, Fabio Alessandro Locati
Ansible enables you to automate software provisioning, configuration management, and application roll-outs, and can be used as a deployment and orchestration tool. While Ansible provides simple yet powerful features to automate multi-layer environments using agentless communication, it can also solve other critical IT challenges, such as ensuring continuous integration and continuous deployment (CI/CD) with zero downtime.In this book, you'll work with Ansible 2.9 and learn to solve complex issues quickly with the help of task-oriented scenarios. You'll start by installing and configuring Ansible on Linux and macOS to automate monotonous and repetitive IT tasks and get to grips with concepts such as playbooks, inventories, and network modules. As you progress, you'll gain insight into the YAML syntax and learn how to port between Ansible versions. In addition to this, you'll also understand how Ansible enables you to orchestrate multi-layer environments such as networks, containers, and the cloud.By the end of this Ansible book, you'll be well - versed in writing playbooks and other related Ansible code to overcome just about all of your IT challenges, from infrastructure-as-code provisioning to application deployments, and even handling the mundane day-to-day maintenance tasks that take up so much valuable time.
Mitesh Soni
Amazon Web Services (AWS) dominates the public cloud market by a huge margin and continues to be the first choice for many organizations. Networking has been an area of focus for all the leading cloud service providers. AWS has a suite of network-related products which help in performing network related task on AWS.This book initially covers the basics of networking in AWS. Then we use AWS VPC to create an isolated virtual cloud for performing network-related tasks. We then provide an overview of AWS Direct Connect after taking a deep dive into scalability and load balancing using the auto scaling feature, Elastic Load Balancing, and Amazon Route S3. Toward the end of the book, we cover troubleshooting tips and security best practices for your network. By the end of this book, you will have hands-on experience of working with network tasks on AWS.
Nataraj Dasgupta
Big Data analytics relates to the strategies used by organizations to collect, organize, and analyze large amounts of data to uncover valuable business insights that cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization’s data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages, and BI tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology and the practical reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB, and even learn how to write R code for neural networks.By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using the different tools and methods articulatedin this book.
Zhenyu George Li, Charles Shih-I Yeh, Dr....
Creating responsive, intelligent games takes more than just following engine tutorials. It requires solving real development challenges with practical, efficient code. This book bridges theory and practice with proven algorithms and techniques grounded in real-world production needs, emphasizing clean, portable C++ implementations.Starting with raylib and the custom Knight engine layer, you’ll be introduced to a simple object-oriented scene and game object system. From there, you'll build responsive gameplay systems using essential data structures and algorithms, progressing through 2D rendering, collision detection, effects, and camera control before advancing to 3D graphics environments built using shaders, lighting, quad-tree terrain, and dynamic camera setups.You’ll animate characters using skeletal rigs, interpolation, and inverse kinematics for fluid movement and then develop game AI using FSMs, behavior trees, A* pathfinding, and steering behaviors. The book also covers neural networks, exploring their underlying theories, training processes, and tools. Throughout, the code is written in legacy-compatible C++ to ensure broad support across platforms and compilers.By the end, you’ll have gained the skills to build game systems that not only work but also scale, perform, and adapt like professional-grade code.
B. M. Harwani
Used in everything from microcontrollers to operating systems, C is a popular programming language among developers because of its flexibility and versatility. This book helps you get hands-on with various tasks, covering the fundamental as well as complex C programming concepts that are essential for making real-life applications.You’ll start with recipes for arrays, strings, user-defined functions, and pre-processing directives. Once you’re familiar with the basic features, you’ll gradually move on to learning pointers, file handling, concurrency, networking, and inter-process communication (IPC). The book then illustrates how to carry out searching and arrange data using different sorting techniques, before demonstrating the implementation of data structures such as stacks and queues. Later, you’ll learn interesting programming features such as using graphics for drawing and animation, and the application of general-purpose utilities. Finally, the book will take you through advanced concepts such as low-level programming, embedded software, IoT, and security in coding, as well as techniques for improving code performance.By the end of this book, you'll have a clear understanding of C programming, and have the skills you need to develop robust apps.
Matt Eland, Kevin Griffin
Too many C# developers feel stuck building the same apps day in and day out, but learning through side projects can reignite your passion and level up your skills. This book offers a practical, hands-on approach to building confidence with .NET 10 and modern C# by building a variety of engaging applications, from interactive games and productivity tools to machine learning apps and browser-based chatbots.These projects are designed to teach practical patterns and modern tooling, with a focus on learning and experimentation over production hardening. You'll work with tools like Spectre.Console, ML.NET, Uno Platform, and more, developing everything from an adventure game and a card tracker to an AI chatbot. You’ll also build modern AI-enabled systems using Ollama, Microsoft Agent Framework, OpenTelemetry, and Aspire.Written by an experienced C# engineer and teacher, this book blends technical depth with a developer-friendly tone, helping you learn faster and retain more. You'll sharpen your understanding of core .NET capabilities and gain confidence to apply them in your own work or hobby projects.By the end of this book, you'll not only have a portfolio of practical .NET apps - you’ll also have grown as a developer and rediscovered the joy of programming.*Email sign-up and proof of purchase required
Matt Eland, Kevin Griffin
Too many C# developers feel stuck building the same apps day in and day out, but learning through side projects can reignite your passion and level up your skills. This book offers a practical, hands-on approach to building confidence with .NET 10 and modern C# by building a variety of engaging applications, from interactive games and productivity tools to machine learning apps and browser-based chatbots.These projects are designed to teach practical patterns and modern tooling, with a focus on learning and experimentation over production hardening. You'll work with tools like Spectre.Console, ML.NET, Uno Platform, and more, developing everything from an adventure game and a card tracker to an AI chatbot. You’ll also build modern AI-enabled systems using Ollama, Microsoft Agent Framework, OpenTelemetry, and Aspire.Written by an experienced C# engineer and teacher, this book blends technical depth with a developer-friendly tone, helping you learn faster and retain more. You'll sharpen your understanding of core .NET capabilities and gain confidence to apply them in your own work or hobby projects.By the end of this book, you'll not only have a portfolio of practical .NET apps - you’ll also have grown as a developer and rediscovered the joy of programming.*Email sign-up and proof of purchase required
Emily Jiang, Andrew McCright, John Alcorn, David...
In this cloud-native era, most applications are deployed in a cloud environment that is public, private, or a combination of both. To ensure that your application performs well in the cloud, you need to build an application that is cloud native. MicroProfile is one of the most popular frameworks for building cloud-native applications, and fits well with Kubernetes. As an open standard technology, MicroProfile helps improve application portability across all of MicroProfile's implementations.Practical Cloud-Native Java Development with MicroProfile is a comprehensive guide that helps you explore the advanced features and use cases of a variety of Jakarta and MicroProfile specifications. You'll start by learning how to develop a real-world stock trader application, and then move on to enhancing the application and adding day-2 operation considerations. You'll gradually advance to packaging and deploying the application. The book demonstrates the complete process of development through to deployment and concludes by showing you how to monitor the application's performance in the cloud. By the end of this book, you will master MicroProfile's latest features and be able to build fast and efficient cloud-native applications.
Marc Wintjen
Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This book combines these two concepts by sharing proven techniques and hands-on examples so that you can learn how to communicate effectively using data.After introducing you to the basics of data analysis using Jupyter Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to clean, wrangle, analyze, and visualize data to gain useful insights, and you'll discover how to answer questions using data with easy-to-follow steps.Later chapters teach you about storytelling with data using charts, such as histograms and scatter plots. As you advance, you'll understand how to work with unstructured data using natural language processing (NLP) techniques to perform sentiment analysis. All the knowledge you gain will help you discover key patterns and trends in data using real-world examples. In addition to this, you will learn how to handle data of varying complexity to perform efficient data analysis using modern Python libraries.By the end of this book, you'll have gained the practical skills you need to analyze data with confidence.
Nathan George
Practical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science.The book starts with an overview of basic Python skills and then introduces foundational data science techniques, followed by a thorough explanation of the Python code needed to execute the techniques. You'll understand the code by working through the examples. The code has been broken down into small chunks (a few lines or a function at a time) to enable thorough discussion.As you progress, you will learn how to perform data analysis while exploring the functionalities of key data science Python packages, including pandas, SciPy, and scikit-learn. Finally, the book covers ethics and privacy concerns in data science and suggests resources for improving data science skills, as well as ways to stay up to date on new data science developments.By the end of the book, you should be able to comfortably use Python for basic data science projects and should have the skills to execute the data science process on any data source.
joakim verona
DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments. It stresses the cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations.After a quick refresher to DevOps and continuous delivery, we quickly move on to looking at how DevOps affects architecture. You'll create a sample enterprise Java application that you’ll continue to work with through the remaining chapters. Following this, we explore various code storage and build server options. You will then learn how to perform code testing with a few tools and deploy your test successfully. Next, you will learn how to monitor code for any anomalies and make sure it’s running properly. Finally, you will discover how to handle logs and keep track of the issues that affect processes
joakim verona
DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all code workflows from testing environments to production environments. It stresses cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations.Practical DevOps begins with a quick refresher on DevOps and continuous delivery and quickly moves on to show you how DevOps affects software architectures. You'll create a sample enterprise Java application that you’'ll continue to work with through the remaining chapters. Following this, you will explore various code storage and build server options. You will then learn how to test your code with a few tools and deploy your test successfully. In addition to this, you will also see how to monitor code for any anomalies and make sure that it runs as expected. Finally, you will discover how to handle logs and keep track of the issues that affect different processes.By the end of the book, you will be familiar with all the tools needed to deploy, integrate, and deliver efficiently with DevOps.
joakim verona
DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all code workflows from testing environments to production environments. It stresses cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations.Practical DevOps begins with a quick refresher on DevOps and continuous delivery and quickly moves on to show you how DevOps affects software architectures. You'll create a sample enterprise Java application that you’'ll continue to work with through the remaining chapters. Following this, you will explore various code storage and build server options. You will then learn how to test your code with a few tools and deploy your test successfully. In addition to this, you will also see how to monitor code for any anomalies and make sure that it runs as expected. Finally, you will discover how to handle logs and keep track of the issues that affect different processes.By the end of the book, you will be familiar with all the tools needed to deploy, integrate, and deliver efficiently with DevOps.
Ryan T. White, Archana Tikayat Ray
Discrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks.Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level.As you learn the language of discrete mathematics, you’ll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you’ll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science.By the end of this book, you’ll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning.
Ryan T. White, Archana Tikayat Ray
Discrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks.Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level.As you learn the language of discrete mathematics, you’ll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you’ll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science.By the end of this book, you’ll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning.
Practical Game AI Programming. Unleash the power of Artificial Intelligence to your game
Micael DaGraça
The book starts with the basics examples of AI for different game genres and directly jumps into defining the probabilities and possibilities of the AI character to determine character movement. Next, you’ll learn how AI characters should behave within the environment created.Moving on, you’ll explore how to work with animations. You’ll also plan and create pruning strategies, and create Theta algorithms to find short and realistic looking game paths. Next, you’ll learn how the AI should behave when there is a lot of characters in the same scene.You'll explore which methods and algorithms, such as possibility maps, Forward Chaining Plan, Rete Algorithm, Pruning Strategies, Wall Distances, and Map Preprocess Implementation should be used on different occasions. You’ll discover how to overcome some limitations, and how to deliver a better experience to the player. By the end of the book, you think differently about AI.
Valentina Alto
Practical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering to analyzing documents and images and even generating code, this book equips you with the skills to integrate generative AI into your workflow.Written by a technical architect specializing in AI and intelligent applications, this book provides the tools and knowledge you need to streamline tasks, enhance productivity, and create intelligent solutions. You’ll learn how to craft precise prompts, leverage ChatGPT for daily efficiency, and develop custom AI assistants tailored to your needs.The chapters show you how to use ChatGPT’s multimodal capabilities to generate images with DALL·E and even transform images into code. This ChatGPT book goes beyond basic interactions by showing you how to design custom GPTs and integrate OpenAI’s APIs into your applications. You’ll explore how businesses use OpenAI models, from building AI applications, including semantic search, to creating an AI roadmap. Each chapter is packed with practical examples, ensuring you can apply the techniques right away.By the end of this book, you’ll be well equipped to leverage OpenAI's technology for competitive advantage.*Email sign-up and proof of purchase required
Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
Vikram Chandra Jha, Atul Tripathi
Machine learning has become the new black. The challenge in today’s world is the explosion of data from existing legacy data and incoming new structured and unstructured data. The complexity of discovering, understanding, performing analysis, and predicting outcomes on the data using machine learning algorithms is a challenge. This cookbook will help solve everyday challenges you face as a data scientist. The application of various data science techniques and on multiple data sets based on real-world challenges you face will help you appreciate a variety of techniques used in various situations.The first half of the book provides recipes on fairly complex machine-learning systems, where you’ll learn to explore new areas of applications of machine learning and improve its efficiency. That includes recipes on classifications, neural networks, unsupervised and supervised learning, deep learning, reinforcement learning, and more.The second half of the book focuses on three different machine learning case studies, all based on real-world data, and offers solutions and solves specific machine-learning issues in each one.
Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks
Debu Sinha
Unleash the potential of databricks for end-to-end machine learning with this comprehensive guide, tailored for experienced data scientists and developers transitioning from DIY or other cloud platforms. Building on a strong foundation in Python, Practical Machine Learning on Databricks serves as your roadmap from development to production, covering all intermediary steps using the databricks platform. You’ll start with an overview of machine learning applications, databricks platform features, and MLflow. Next, you’ll dive into data preparation, model selection, and training essentials and discover the power of databricks feature store for precomputing feature tables. You’ll also learn to kickstart your projects using databricks AutoML and automate retraining and deployment through databricks workflows. By the end of this book, you’ll have mastered MLflow for experiment tracking, collaboration, and advanced use cases like model interpretability and governance. The book is enriched with hands-on example code at every step. While primarily focused on generally available features, the book equips you to easily adapt to future innovations in machine learning, databricks, and MLflow.
Davide Bedin
Over the last decade, there has been a huge shift from heavily coded monolithic applications to finer, self-contained microservices. Dapr is a new, open source project by Microsoft that provides proven techniques and best practices for developing modern applications. It offers platform-agnostic features for running your applications on public cloud, on-premises, and even on edge devices.This book will help you get to grips with microservice architectures and how to manage application complexities with Dapr in no time. You'll understand how Dapr offers ease of implementation while allowing you to work with multiple languages and platforms. You'll also understand how Dapr's runtime, services, building blocks, and software development kits (SDKs) help you to simplify the creation of resilient and portable microservices. Dapr provides an event-driven runtime that supports the essential features you need to build microservices, including service invocation, state management, and publish/subscribe messaging. You'll explore all of those in addition to various other advanced features with this practical guide to learning Dapr.By the end of this book, you'll be able to write microservices easily using your choice of language or framework by implementing industry best practices to solve problems related to distributed systems.
Mudar Bahri, Joe Williams
Most organizations face challenges in defining and achieving evolved enterprise architecture practices, which can be a very lengthy process even if implemented correctly. Developers, for example, can build better solutions only if they receive the necessary design information from architects, and decision-makers can make appropriate changes within the organization only if they know the implications of doing so.The book starts by addressing the problems faced by enterprise architecture practitioners and provides solutions based on an agile approach to enterprise architecture, using ArchiMate® 3.1 as an industry standard and Sparx EA as the modeling tool. You'll learn with the help of a fictional organization that has three business units, each expecting something different from you as the enterprise architect. You'll build the practice, satisfy the different requirements of each business unit, and share the knowledge with others so they can follow your steps. Toward the end, you'll learn how to put the diagrams and the content that you have developed into documents, presentations, and web pages that can be published and shared with any stakeholder.By the end of this book, you'll be able to build a functional enterprise architecture practice that supports every part of your organization. You'll also have developed the necessary skills to populate your enterprise architecture repository with references and artifacts.
Taiji Hagino
Node-RED is a free and open source flow-based programming tool used to handle IoT data that allows programmers of any level to interconnect physical I/O, cloud-based systems, databases, and APIs to build web applications without code.Practical Node-RED Programming is a comprehensive introduction for anyone looking to get up to speed with the Node-RED ecosystem in no time. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will help you to become well versed in the foundations of Node-RED. You’ll learn how to use Node-RED to handle IoT data and build web applications without having to write complex code. Once you’ve covered the basics, you’ll explore various visual programming techniques and find out how to make sample flows as you cover web development, IoT development, and cloud service connections, and finally build useful real-world applications.By the end of this book, you’ll have learned how to use Node-RED to develop a real-world application from scratch, which can then be implemented in your business.
Practical OneOps. Implement DevOps with ease
Nilesh Nimkar
Walmart’s OneOps is an open source DevOps platform that is used for cloud and application lifecycle management. It can manage critical and complex application workload on any multi cloud-based infrastructure and revolutionizes the way administrators, developers, and engineers develop and launch new products.This practical book focuses on real-life cases and hands-on scenarios to develop, launch, and test your applications faster, so you can implement the DevOps process using OneOps.You will be exposed to the fundamental aspects of OneOps starting with installing, deploying, and configuring OneOps in a test environment, which will also come in handy later for development and debugging. You will also learn about design and architecture, and work through steps to perform enterprise level deployment. You will understand the initial setup of OneOps such as creating organization, teams, and access management. Finally, you will be taught how to configure, repair, scale, and extend applications across various cloud platforms.