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.
Anthony So , William So , Zsolt...
You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career?The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career.The book begins by teaching you how to predict outcomes using regression. You will then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you’ll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you’ll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs).By the end of this applied AI book, you’ll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models.
Alex Galea, Paul Van Branteghem, Guillermina Bea...
From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world. It has an important role to play in everything from app development to network security.Taking an interactive approach to learning the fundamentals, this book is ideal for beginners. You’ll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples.Starting with an introduction to data science and machine learning, you’ll start by getting to grips with Jupyter functionality and features. You’ll use Python libraries like sci-kit learn, pandas, Matplotlib, and Seaborn to perform data analysis and data preprocessing on real-world datasets from within your own Jupyter environment. Progressing through the chapters, you’ll train classification models using sci-kit learn, and assess model performance using advanced validation techniques. Towards the end, you’ll use Jupyter Notebooks to document your research, build stakeholder reports, and even analyze web performance data.By the end of The Applied Data Science Workshop, you’ll be prepared to progress from being a beginner to taking your skills to the next level by confidently applying data science techniques and tools to real-world projects.
Harveen Singh Chadha , Luis Capelo ,...
Machine learning gives computers the ability to learn like humans. It is becoming increasingly transformational to businesses in many forms, and a key skill to learn to prepare for the future digital economy.As a beginner, you’ll unlock a world of opportunities by learning the techniques you need to contribute to the domains of machine learning, deep learning, and modern data analysis using the latest cutting-edge tools.The Applied TensorFlow and Keras Workshop begins by showing you how neural networks work. After you’ve understood the basics, you will train a few networks by altering their hyperparameters. To build on your skills, you’ll learn how to select the most appropriate model to solve the problem in hand. While tackling advanced concepts, you’ll discover how to assemble a deep learning system by bringing together all the essential elements necessary for building a basic deep learning system - data, model, and prediction. Finally, you’ll explore ways to evaluate the performance of your model, and improve it using techniques such as model evaluation and hyperparameter optimization.By the end of this book, you'll have learned how to build a Bitcoin app that predicts future prices, and be able to build your own models for other projects.
Christopher Lee
The Art of Crafting User Stories is a must-read for product managers, UX professionals, and product developers dedicated to creating meaningful digital experiences. This book provides a comprehensive, step-by-step approach to empower you to master the techniques for creating user stories that drive effective product development.This book takes you on a journey from identifying and capturing user needs, goals, and perspectives through user stories, to crafting impactful stories for design choices and organizing tasks efficiently. You’ll learn how to define the problem area, recognize user personas, and develop user scenarios with the aid of real-world examples, practical tips, and exercises designed to help you develop your skills in crafting user-centered experiences. Moreover, you’ll gain a thorough understanding of user stories, their role in Agile development, and how to use them to plan and manage products effectively.By the end of this book, you’ll be able to improve the quality and efficiency of your own products by applying the hands-on practical skills to create compelling digital experiences that resonate with users and stay relevant in the market.
Florian Rappl, Lothar Schöttner
Micro frontend is a web architecture for frontend development borrowed from the idea of microservices in software development, where each module of the frontend is developed and shipped in isolation to avoid complexity and a single point of failure for your frontend.Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will take you through the patterns available for implementing a micro frontend solution. You’ll learn about micro frontends in general, the different architecture styles and their areas of use, how to prepare teams for the change to micro frontends, as well as how to adjust the UI design for scalability. Starting with the simplest variants of micro frontend architectures, the book progresses from static approaches to fully dynamic solutions that allow maximum scalability with faster release cycles. In the concluding chapters, you'll reinforce the knowledge you’ve gained by working on different case studies relating to micro frontends.By the end of this book, you'll be able to decide if and how micro frontends should be implemented to achieve scalability for your user interface (UI).
Fedor G. Pikus
The great free lunch of performance taking care of itself is over. Until recently, programs got faster by themselves as CPUs were upgraded, but that doesn't happen anymore. The clock frequency of new processors has almost peaked, and while new architectures provide small improvements to existing programs, this only helps slightly. To write efficient software, you now have to know how to program by making good use of the available computing resources, and this book will teach you how to do that.The Art of Efficient Programming covers all the major aspects of writing efficient programs, such as using CPU resources and memory efficiently, avoiding unnecessary computations, measuring performance, and how to put concurrency and multithreading to good use. You'll also learn about compiler optimizations and how to use the programming language (C++) more efficiently. Finally, you'll understand how design decisions impact performance.By the end of this book, you'll not only have enough knowledge of processors and compilers to write efficient programs, but you'll also be able to understand which techniques to use and what to measure while improving performance. At its core, this book is about learning how to learn.
Chinmay Arankalle , Gareth Dwyer , Bas...
Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one.The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You’ll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you’ll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You’ll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you’ll gain hands-on experience with PyTorch. Finally, you’ll explore ways to run machine learning models in production as part of an AI application.By the end of the book, you’ll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods.
Stéphane Eyskens, Ed Price
Azure offers a wide range of services that enable a million ways to architect your solutions. Complete with original maps and expert analysis, this book will help you to explore Azure and choose the best solutions for your unique requirements.Starting with the key aspects of architecture, this book shows you how to map different architectural perspectives and covers a variety of use cases for each architectural discipline. You'll get acquainted with the basic cloud vocabulary and learn which strategic aspects to consider for a successful cloud journey. As you advance through the chapters, you'll understand technical considerations from the perspective of a solutions architect. You'll then explore infrastructure aspects, such as network, disaster recovery, and high availability, and leverage Infrastructure as Code (IaC) through ARM templates, Bicep, and Terraform. The book also guides you through cloud design patterns, distributed architecture, and ecosystem solutions, such as Dapr, from an application architect's perspective. You'll work with both traditional (ETL and OLAP) and modern data practices (big data and advanced analytics) in the cloud and finally get to grips with cloud native security.By the end of this book, you'll have picked up best practices and more rounded knowledge of the different architectural perspectives.
Stéphane Eyskens, Ed Price
Azure offers a wide range of services that enable a million ways to architect your solutions. Complete with original maps and expert analysis, this book will help you to explore Azure and choose the best solutions for your unique requirements.Starting with the key aspects of architecture, this book shows you how to map different architectural perspectives and covers a variety of use cases for each architectural discipline. You'll get acquainted with the basic cloud vocabulary and learn which strategic aspects to consider for a successful cloud journey. As you advance through the chapters, you'll understand technical considerations from the perspective of a solutions architect. You'll then explore infrastructure aspects, such as network, disaster recovery, and high availability, and leverage Infrastructure as Code (IaC) through ARM templates, Bicep, and Terraform. The book also guides you through cloud design patterns, distributed architecture, and ecosystem solutions, such as Dapr, from an application architect's perspective. You'll work with both traditional (ETL and OLAP) and modern data practices (big data and advanced analytics) in the cloud and finally get to grips with cloud native security.By the end of this book, you'll have picked up best practices and more rounded knowledge of the different architectural perspectives.
Sam Morley
Solve complex problems in C++ by learning how to think like a computer scientist. This book introduces computational thinking—a framework for solving problems using decomposition, abstraction, and pattern recognition—and shows you how to apply it using modern C++ features. You'll learn how to break down challenges, choose the right abstractions, and build solutions that are both maintainable and efficient. Through small examples and a large case study, this book guides you from foundational concepts to high-performance applications. You’ll explore reusable templates, algorithms, modularity, and even parallel computing and GPU acceleration. With each chapter, you’ll not only expand your C++ skillset, but also refine the way you approach and solve real-world problems. Written by a seasoned research engineer and C++ developer, this book combines practical insight with academic rigor. Whether you're designing algorithms or profiling production code, this book helps you deliver elegant, effective solutions with confidence.
Rainer Grimm
Standard template library enables programmers to speed up application development using the built-in data structures and algorithms in their codes. The C++ Standard Library is a comprehensive guide to the updated library of classes, algorithms, functions, iterators, and containers and serves as the best reference to the current C++ 17 standard. Starting with the introduction and history of the standard library, this book goes on to demonstrate how quickly you can manipulate various C++ template classes while writing your applications. You'll also learn in detail the four types of STL components. Then you'll discover the best methods to analyze or modify a string. You'll also learn how to make your application communicate with the outside world using input and output streams and how to use the non-owning string objects with regular strings. By the end of this book, you'll be able to take your programming skills to a higher level by leveraging the standard C++ libraries.
The C# Workshop. Kickstart your career as a software developer with C#
Jason Hales, Almantas Karpavicius, Mateus Viegas
C# is a powerful, versatile language that can unlock a variety of career paths. But, as with any programming language, learning C# can be a challenging process. With a wide range of different resources available, it’s difficult to know where to start.That's where The C# Workshop comes in. Written and reviewed by industry experts, it provides a fast-paced, supportive learning experience that will quickly get you writing C# code and building applications. Unlike other software development books that focus on dry, technical explanations of the underlying theory, this Workshop cuts through the noise and uses engaging examples to help you understand how each concept is applied in the real world.As you work through the book, you'll tackle realistic exercises that simulate the type of problems that software developers work on every day. These mini-projects include building a random-number guessing game, using the publisher-subscriber model to design a web file downloader, creating a to-do list using Razor Pages, generating images from the Fibonacci sequence using async/await tasks, and developing a temperature unit conversion app which you will then deploy to a production server.By the end of this book, you'll have the knowledge, skills, and confidence to advance your career and tackle your own ambitious projects with C#.
Dale Green , Anil Achary, Kurt Guntheroth...
C++ is the backbone of many games, GUI-based applications, and operating systems. Learning C++ effectively is more than a matter of simply reading through theory, as the real challenge is understanding the fundamentals in depth and being able to use them in the real world. If you're looking to learn C++ programming efficiently, this Workshop is a comprehensive guide that covers all the core features of C++ and how to apply them. It will help you take the next big step toward writing efficient, reliable C++ programs.The C++ Workshop begins by explaining the basic structure of a C++ application, showing you how to write and run your first program to understand data types, operators, variables and the flow of control structures. You'll also see how to make smarter decisions when it comes to using storage space by declaring dynamic variables during program runtime.Moving ahead, you'll use object-oriented programming (OOP) techniques such as inheritance, polymorphism, and class hierarchies to make your code structure organized and efficient. Finally, you'll use the C++ standard library?s built-in functions and templates to speed up different programming tasks.By the end of this C++ book, you will have the knowledge and skills to confidently tackle your own ambitious projects and advance your career as a C++ developer.
Divit Gupta, Rohit Rahi
As the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies.This comprehensive cloud computing guide offers the expertise and best practices for evaluating different cloud vendors and tools. The first part will help you gain a thorough understanding of cloud computing basics before delving deeper into cloud architecture, its design, and implementation. Armed with this expert insight, you'll be able to avoid costly mistakes, ensure that your cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business.By the end of this book, you’ll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.
Thiago Maior
Modern software delivery demands speed, reliability, and scalability, and cloud DevOps engineering makes it possible. The Cloud DevOps Engineer’s Guide is a practical, hands-on DevOps guide for building production-grade workflows using modern cloud-native tools and platforms. Starting with core DevOps and cloud concepts, this book helps you set up your workstation, master Git and Docker, and provision infrastructure using Terraform. You’ll build complete CI/CD pipelines with GitHub Actions, automate cloud deployments, and orchestrate containerized applications with Kubernetes and Helm. As you progress, you’ll implement DevSecOps practices, integrate monitoring, logging, and observability, and secure cloud environments using IAM, secrets management, and network controls. Advanced chapters cover reliability engineering, cost optimization, GitOps, FinOps, platform engineering, and AIOps. Packed with hands-on labs, real-world workflows, and automation-driven examples, this cloud DevOps engineer guide prepares you to run modern cloud systems with confidence and grow your career in an AI-powered cloud era.
Eric Lam, Pathik Sharma, Bruce Warner
Google Cloud Platform offers significant scalability, but managing costs effectively is critical to realizing its value. The Cloud FinOps Playbook for Google Cloud is a practical guide to managing cloud spend and driving financial accountability on GCP.Written for cloud architects, FinOps professionals, and platform engineers, this book connects core FinOps principles to the GCP ecosystem. You'll start with the foundations of cloud economics and GCP's billing structure, then build skills in cost allocation, budget management, usage monitoring with BigQuery and Looker Studio, and savings identification using the Google Cloud FinOps Hub.The book also covers the dual role of AI in FinOps, that is, using AI for FinOps through agentic cost management, and applying FinOps for AI by establishing cost governance over AI workloads. You'll build automation for reporting and forecasting, implement quota guardrails, and drive financial accountability across engineering, finance, and operations teams.By the end of this book, you'll be equipped to build a mature, automated, and collaborative FinOps practice on Google Cloud.
Anghel Leonard
Java is one of the most sought-after programming languages in the job market, but cracking the coding interview in this challenging economy might not be easy. This comprehensive guide will help you to tackle various challenges faced in a coding job interview and avoid common interview mistakes, and will ultimately guide you toward landing your job as a Java developer.This book contains two crucial elements of coding interviews - a brief section that will take you through non-technical interview questions, while the more comprehensive part covers over 200 coding interview problems along with their hands-on solutions. This book will help you to develop skills in data structures and algorithms, which technical interviewers look for in a candidate, by solving various problems based on these topics covering a wide range of concepts such as arrays, strings, maps, linked lists, sorting, and searching. You'll find out how to approach a coding interview problem in a structured way that produces faster results. Toward the final chapters, you'll learn to solve tricky questions about concurrency, functional programming, and system scalability.By the end of this book, you'll have learned how to solve Java coding problems commonly used in interviews, and will have developed the confidence to secure your Java-centric dream job.