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.
The Official MongoDB Guide. Resilience, scalability, security and performance
Rachelle Palmer, Jeffrey Allen, Parker Faucher, Alison...
Delivering secure, scalable, and high-performance applications is never easy, especially when systems must handle growth, protect sensitive data, and perform reliably under pressure. The Official MongoDB Guide addresses these challenges with guidance from MongoDB’s top subject matter experts, so you learn proven best practices directly from those who know the technology inside out.This book takes you from core concepts and architecture through to advanced techniques for data modeling, indexing, and query optimization, supported by real-world patterns that improve performance and resilience. It offers practical coverage of developer tooling, IDE integrations, and AI-assisted workflows that will help you work faster and more effectively.Security-focused chapters walk you through authentication, authorization, encryption, and compliance, while chapters dedicated to MongoDB Atlas showcase its robust security features and demonstrate how to deploy, scale, and leverage platform-native capabilities such as Atlas Search and Atlas Vector Search.By the end of this book, you’ll be able to design, build, and manage MongoDB applications with the confidence that comes from learning directly from the experts shaping the technology.*Email sign-up and proof of purchase required
George Hantzaras
Platform engineering offers solutions to multiple problems, in an era where scaling software and operations is more challenging than ever. The Platform Engineering Playbook is a meticulously crafted practical guide that covers the fundamentals, strategies, tools, and best practices of platform engineering.The book introduces the basics of infrastructure management and DevOps approaches that lead you to platform engineering and related advanced concepts like automating infrastructure for enhancing developers’ experience, and ensuring security and compliance at scale. You’ll learn how to design and build a complete Internal Developer Platform (IDP) using cloud-native tools, such as Kubernetes, Crossplane, Backstage, and ArgoCD. You’ll explore platform teams in-depth including why they are essential and how they can transform the efficiency of your engineering team and assist them in dealing with Observability (using Prometheus, Thanos, Open Telemetry, etc.) and security issues. You'll understand the importance of platform engineering as a critical component in the modern software development through real-world use cases from top IT companies.After reading this book, you’ll be able to confidently establish and manage a platform engineering team and design an internal developer platform using cloud native tools.
Ajay Chankramath, Angelic Gibson
The Platform Engineer’s Handbook equips senior engineers and DevOps professionals to deliver developer-friendly infrastructure with automation, speed, AI acceleration, and intelligence. Starting with a blank slate, you’ll build a complete, modern platform that runs locally on your laptop, learning real-world patterns as you go.In this handbook, you’ll follow a structured, progressive journey, beginning with source control governance and branching strategies, then deploying a Kubernetes-based runtime, embedding observability, and securing platform access. You’ll implement self-service onboarding, CI/CD as a service, and developer portals with Backstage. Later chapters introduce infrastructure blueprints, policy as code, FinOps observability, and AI-augmented platform services such as agent-based onboarding and copilots for pipeline creation.Each chapter combines core concepts, lab-based exercises, and production-ready best practices to provide a comprehensive understanding of the subject matter. By the end, you'll have a working MVP platform and the skills to adapt and scale it for your team or organization.
IT Governance Publishing, Jamie Lynn Cooke
Agile frameworks have revolutionized the way business analysis is integrated into projects, but the role of the Agile business analyst is still evolving. This book explores how business analysts can thrive within Agile teams, offering insights into both the challenges and opportunities they face. By understanding the power and limitations of Agile, the reader will gain practical tools to not only survive but thrive in an Agile environment. The text outlines why having a dedicated Agile business analyst is crucial and provides actionable advice on how to build the right team and minimize risks. The author goes beyond theory to offer concrete steps that help business analysts add value to Agile projects. The reader will walk away with a deep understanding of the evolving Agile landscape, including the critical role of business analysis and practical tips for improving team dynamics, managing risks, and maximizing value. This book is perfect for professionals looking to integrate Agile business analysis into their teams and projects to achieve better outcomes and continuous improvement.
The Professional Scrum Master Guide. The unofficial guide to Scrum with real-world projects
Fred Heath
This book demonstrates the real-world applications of Scrum in a variety of scenarios, all with practical examples. You’ll understand why the structure of your Scrum team matters, and how to create and manage sprint and product backlogs. Each chapter concludes with relevance to the exam, reinforcing what you’ve learned as you work through the book and making sure you have an edge when it comes to earning your certificate.The statements made and opinions expressed herein belong exclusively to Packt Publishing Ltd and are not shared by or represent the viewpoint of Scrum.org. This training does not constitute an endorsement of any product, service or point of view. Scrum.org makes no representations, warranties or assurances of any kind, express or implied, as to the completeness, accuracy, reliability, suitability, availability or currency of the content contained in this presentation or any material related to this presentation. In no event shall Scrum.org, its agents, officers, employees, licensees or affiliates be liable for any damages whatsoever (including, without limitation, damages for loss of profits, business information, or loss of information) arising out of the information or statements contained in the training. Any reliance you place on such content is strictly at your own risk.
Tobias Zwingmann, Armand Ruiz
Artificial Intelligence has the power to dramatically enhance business performance—but knowing where to begin can be overwhelming. The Profitable AI Advantage offers a clear, actionable roadmap for business leaders, entrepreneurs, and CTOs to identify, design, and scale profitable AI initiatives. You'll learn how AI expands margins by reducing costs, increasing throughput, minimizing risk, and unlocking new revenue streams—without incurring proportional costs.Instead of relying on complex financial models, this guide presents simple thresholds, cost caps, and quick-sizing techniques you can apply to your own financials. The book moves efficiently from foundational AI concepts to practical applications, covering predictive AI, generative AI, and agent-based tools.Frameworks like the Pain Points and Bottlenecks Canvas and the Integration-Automation AI Framework help you identify high-impact opportunities, design use cases, build roadmaps, and prototype solutions quickly and cost-effectively. With real-world case studies from seasoned AI expert Tobias Zwingmann, you’ll sidestep pitfalls, streamline implementation, and drive measurable P&L impact.By the end, you’ll be equipped to scale AI strategically, align your teams, and boost decision-making, productivity, and competitive edge.
The Python Apprentice. Introduction to the Python Programming Language
Robert Smallshire, Austin Bingham
Experienced programmers want to know how to enhance their craft and we want to help them start as apprentices with Python. We know that before mastering Python you need to learn the culture and the tools to become a productive member of any Python project. Our goal with this book is to give you a practical and thorough introduction to Python programming, providing you with the insight and technical craftsmanship you need to be a productive member of any Python project. Python is a big language, and it’s not our intention with this book to cover everything there is to know. We just want to make sure that you, as the developer, know the tools, basic idioms and of course the ins and outs of the language, the standard library and other modules to be able to jump into most projects.
Andrew Bird, Dr. Lau Cher Han, Mario...
Have you always wanted to learn Python, but never quite known how to start?More applications than we realize are being developed using Python because it is easy to learn, read, and write. You can now start learning the language quickly and effectively with the help of this interactive tutorial.The Python Workshop starts by showing you how to correctly apply Python syntax to write simple programs, and how to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and methods to write concise, reusable, and efficient code.As you advance, you'll understand how to use the standard library, debug code to troubleshoot problems, and write unit tests to validate application behavior.You'll gain insights into using the pandas and NumPy libraries for analyzing data, and the graphical libraries of Matplotlib and Seaborn to create impactful data visualizations. By focusing on entry-level data science, you'll build your practical Python skills in a way that mirrors real-world development. Finally, you'll discover the key steps in building and using simple machine learning algorithms.By the end of this Python book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Python.