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Lubanovic Bill: Introducing Python

Introducing Python

Modern Computing in Simple Packages

The transition to cloud computing has created unprecedented demand for professionals with the skills to implement solutions that take advantage of the scalability, flexibility, and resilience the cloud offers. The Microsoft Certified Azure Developer Associate (AZ-204) Study Guide is your comprehensive resource for mastering the competencies required to design, develop, and deploy secure and scalable Azure architectures tailored to your organization's needs. The foundational skills you'll learn in this guide will help you successfully navigate the Microsoft Certified Azure Developer Associate exam. But beyond its impact on your resume, this book will imbue you with the confidence to excel as a Microsoft Certified Azure Developer Associate for years to come. The certification journey is challenging, but with the right insights, a well-structured study plan, and hands-on practice, you can position yourself for success. <ul> <li>Design optimal cloud architectures aligned with best practices</li> <li>Provision and oversee core infrastructure with a focus on security and compliance</li> <li>Optimize both technical and business processes</li> <li>Manage critical cloud resources essential for organizational success</li> <li>Ensure operational reliability and high availability</li> </ul>

In-Depth Guidance and Practice

Microsoft Certified Azure Developer Associate (AZ-204) Study Guide

This book provides clarity and guidance on how to design, develop, deploy, and maintain Natural Language Processing (NLP) solutions that address real-world business problems. It will help organizations use critical thinking to understand how, when, and why to build NLP solutions, and how to address or avoid common challenges.

Effective Best Practices in Building Valuable NLP Solutions

Teaching Computers to Read

Learn Kotlin Through 37 Projects Kotlin isn’t just for building Android apps. As you’ll learn in Kotlin from Scratch, it’s also a general programming language for crafting both elegant and efficient code. With the aid of 37 hands-on projects, you’ll move quickly through the language basics while building your problem-solving skills, even tackling advanced concepts like fractals, dynamic systems, and nature-inspired algorithms. You’ll explore the way Kotlin handles variables, control structures, functions, classes, and data structures, and you’ll learn to create visualizations using Kotlin and the JavaFX graphics library. Then you’ll build increasingly sophisticated apps to practice what you’ve learned while tackling challenges from math and science to algorithms and optimization. As you progress through the book, you will: <ul><li>Simulate physical systems, like the intricate dance of binary stars</li><li>Implement the classic Hill cipher for encryption and decryption&nbsp;</li><li>Generate beautiful fractals with recursive algorithms&nbsp;</li><li>Program classic computer science algorithms for sorting and searching</li><li>Solve the infamous Berlin52 traveling salesman problem&nbsp;</li></ul> Expand your language repertoire and improve your computational thinking with Kotlin from Scratch.

Learn Kotlin Through 37 Projects Kotlin isn’t just for building Android apps. As you’ll learn in Kotlin from Scratch, it’s also a general programming language for crafting both elegant and efficient code. With the aid of 37 hands-on projects, you’ll move quickly through the language basics while building your problem-solving skills, even tackling advanced concepts like fractals, dynamic systems, and nature-inspired algorithms. You’ll explore the way Kotlin handles variables, control structures, functions, classes, and data structures, and you’ll learn to create visualizations using Kotlin and the JavaFX graphics library. Then you’ll build increasingly sophisticated apps to practice what you’ve learned while tackling challenges from math and science to algorithms and optimization. As you progress through the book, you will: <ul><li>Simulate physical systems, like the intricate dance of binary stars</li><li>Implement the classic Hill cipher for encryption and decryption&nbsp;</li><li>Generate beautiful fractals with recursive algorithms&nbsp;</li><li>Program classic computer science algorithms for sorting and searching</li><li>Solve the infamous Berlin52 traveling salesman problem&nbsp;</li></ul> Expand your language repertoire and improve your computational thinking with Kotlin from Scratch.

A Project-Based Introduction for the Intrepid Programmer

Kotlin from Scratch

Enterprises building complex and large-scale applications in the cloud face multiple challenges. From figuring out the right tools to estimating the right provisioning, nearly every solution comes with a complicated set of choices and trade-offs. AWS provides a one-stop shop for building and scaling these applications, and this practical guide helps you decide which pieces to use and how to fit them together. Authors Jayanth Kumar and Mandeep Singh equip software architects and engineers with essential AWS and system design knowledge to help you make good decisions and overcome the challenges of designing and scaling enterprise software architecture. By diving into specific use cases, you'll understand how these principles and resources can be applied to real-world problems. With this book, you will: <ul> <li>Learn the basics and best practices of successful system design </li><li>Understand key AWS services and their strengths and limitations for building large-scale systems </li><li>Examine engineering patterns and principles that best support large-scale systems, and learn how to design architecture with scalability, operations, and resilience in mind </li><li>Learn what highly performant and cost-optimized architectures look like on AWS and the tools and frameworks that are best for specific use cases <ul>
</ul></li></ul>

Building and Scaling Enterprise Solutions

System Design on AWS

Test and sharpen your Python skills with seven guided projects that explore popular computer science challenges. Computer science can feel unapproachable for those without a formal CS education. Fun Computer Science Projects in Python pulls back that curtain, illuminating several foundational CS concepts through creative, hands-on projects. Each of the 7 projects is presented in a code-centric tutorial that gently introduces topics like interpreters, emulators, and machine learning without getting bogged down by complex theory. The projects showcase advanced Python language features and clean code principles while exploring interesting algorithms. Chapters conclude with discussions of real-world applications of the topic and proposed exercises to extend the reader’s skills. Covers Python 3.x

You know how to write Python. Now master the computer science that makes it work. If you’ve been programming for a while, you may have found yourself wondering about the deeper principles behind the code. How are programming languages implemented? What does an interpreter really do? How does the microprocessor execute instructions at a fundamental level? How does a machine learning algorithm make decisions? Computer Science from Scratch is for experienced Python programmers who want to fill in those gaps—not through abstract lectures, but through carefully designed projects that bring core CS concepts to life. Understanding these fundamental building blocks will make you a more versatile and effective programmer. Each chapter presents a focused, hands-on project that teaches a fundamental idea in computer science: <ul><li>INTERPRETERS: Understand syntax, parsing, and evaluation by writing a BASIC interpreter</li><li>EMULATORS: Learn computer architecture by building an NES emulator from the ground up</li><li>GRAPHICS: Explore image manipulation and algorithmic art through computer graphics projects</li><li>MACHINE LEARNING: Demystify classification by implementing a simple, readable KNN model</li></ul> These projects aren’t about building tools—they’re structured lessons that use code to reveal how computing works. Each chapter concludes with real-world context, thoughtful extensions, and exercises to deepen your understanding. Authored by David Kopec, a computer science professor and author of the popular Classic Computer Science Problems series, this is not a beginner’s book, and it’s not a theory-heavy academic text. It’s a practical, code-driven introduction to the essential ideas and mechanisms of computer science—written for programmers who want more than syntax. If you’ve been writing Python and are ready to explore the foundations behind computing, this book will guide you there—with clarity, depth, and purpose.

Building Interpreters, Art, Emulators and MP in Python

Computer Science From Scratch

Tech Today

Explore the modern Java development landscape with this expert guide In Real-World Java: Navigating the Java Ecosystem, a pair of seasoned Java developers delivers a concise handbook for mastering the essential tools and frameworks prevalent in today's commercial Java enterprises. Dive into a comprehensive exploration of Spring, logging, IDEs, build tools, testing tools, and other key concepts in the Java ecosystem. With just the right blend of explanation and practical examples, this book equips you with the expertise needed to thrive in enterprise Java development. <ul> <li>Familiarize yourself with technologies like Spring, Open Telemetry, Git, and Project Lombok</li> <li>Access tested and downloadable code examples to reinforce your learning journey</li> <li>Discover how to tune your software's performance and automate your CI/CD builds</li> </ul> Whether you're looking to enhance your proficiency or broaden your horizons in Java development, Real-World Java is your go-to companion. Perfect for developers already somewhat familiar with the language, this book offers insights and strategies to navigate the complexities of contemporary Java software development.

Helping You Navigate the Java Ecosystem

Real-World Java

Shortlisted for the Women's Prize for Non-Fiction 2024 AI is changing what it means to be human. This is the unrivalled investigation into the impact of AI on how we live now. 'The intimate investigation of AI that we've been waiting for, and it arrives not a moment too soon' - Shoshana Zuboff, author of The Age of Surveillance Capitalism Through the voices of ordinary people in places far removed from Silicon Valley, Code Dependent explores the impact of a set of powerful, flawed, and often exploitative technologies on individuals, communities, and our wider society. Madhumita Murgia, AI Editor at the FT, exposes how AI can strip away our collective and individual sense of agency - and shatter our illusion of free will. AI is already changing what it means to be human, in ways large and small. In this compelling work, Murgia reveals what could happen if we fail to reclaim our humanity. 'A nuanced, thoughtful and very accessible picture of a world deeply affected by AI' - Martha Lane Fox 'Highly readable and deeply important' - The Guardian 'Code Dependent is the No Logo of the 2020s' - The Times

Shortlisted for the Women’s Prize for Non-Fiction 2024 AI is changing what it means to be human. This is the unrivalled investigation into the impact of AI on how we live now. 'The intimate investigation of AI that we’ve been waiting for, and it arrives not a moment too soon.' – Shoshana Zuboff, author of The Age of Surveillance Capitalism Through the voices of ordinary people in places far removed from Silicon Valley, Code Dependent explores the impact of a set of powerful, flawed, and often exploitative technologies on individuals, communities, and our wider society. Madhumita Murgia, AI Editor at the FT, exposes how AI can strip away our collective and individual sense of agency – and shatter our illusion of free will. AI is already changing what it means to be human, in ways large and small. In this compelling work, Murgia reveals what could happen if we fail to reclaim our humanity. 'A nuanced, thoughtful and very accessible picture of a world deeply affected by AI' – Martha Lane Fox 'Highly readable and deeply important' – The Guardian 'Code Dependent is the No Logo of the 2020s' – The Times

Living in the Shadow of AI

Code Dependent

A revised introduction to the Linux operating system for beginning hackers and penetration testers. If you’re just getting started along the exciting path of hacking, cybersecurity, and pentesting, Linux Basics for Hackers is an excellent introduction. With Kali Linux, an operating system designed for digital forensics and penetration testing, you’ll learn the basics of using Linux and acquire the tools and techniques you’ll need to take control of a Linux environment. First, you’ll learn how to install Kali on a virtual machine and get an introduction to basic Linux concepts. Next, you’ll tackle broader Linux topics like manipulating text, controlling file and directory permissions, and managing user environment variables. You’ll then focus on foundational hacking concepts like security and anonymity and learn scripting skills with bash and Python.&nbsp; Practical tutorials and exercises throughout will reinforce and test your skills as you learn how to: <ul><li>Cover your tracks by changing your network information and manipulating the journalctl logging utility</li><li>Write a tool to scan for network connections, and connect and listen to wireless networks</li><li>Keep your internet activity stealthy using Tor, proxy servers, VPNs, and encrypted email</li><li>Write a bash script to find potential attack targets over a range of IP addresses</li><li>Use and abuse services like MySQL, the Apache web server, and OpenSSH</li><li>Build your own hacking tools, such as remote spy cameras and password crackers</li></ul> New to this edition: This second edition has been updated to address recent changes to Kali&nbsp; and Linux, including a more secure approach to&nbsp; root privileges, updates to Bluetooth and Linux logging functions, and a new chapter with advice&nbsp;on AI in cybersecurity. Hacking is complex, and there is no single way in. Why not start at the beginning with Linux Basics for Hackers?

A revised introduction to the Linux operating system for beginning hackers and penetration testers. If you’re just getting started along the exciting path of hacking, cybersecurity, and pentesting, Linux Basics for Hackers is an excellent introduction. With Kali Linux, an operating system designed for digital forensics and penetration testing, you’ll learn the basics of using Linux and acquire the tools and techniques you’ll need to take control of a Linux environment. First, you’ll learn how to install Kali on a virtual machine and get an introduction to basic Linux concepts. Next, you’ll tackle broader Linux topics like manipulating text, controlling file and directory permissions, and managing user environment variables. You’ll then focus on foundational hacking concepts like security and anonymity and learn scripting skills with bash and Python.&nbsp; Practical tutorials and exercises throughout will reinforce and test your skills as you learn how to: <ul><li>Cover your tracks by changing your network information and manipulating the journalctl logging utility</li><li>Write a tool to scan for network connections, and connect and listen to wireless networks</li><li>Keep your internet activity stealthy using Tor, proxy servers, VPNs, and encrypted email</li><li>Write a bash script to find potential attack targets over a range of IP addresses</li><li>Use and abuse services like MySQL, the Apache web server, and OpenSSH</li><li>Build your own hacking tools, such as remote spy cameras and password crackers</li></ul> New to this edition: This second edition has been updated to address recent changes to Kali&nbsp; and Linux, including a more secure approach to&nbsp; root privileges, updates to Bluetooth and Linux logging functions, and a new chapter with advice&nbsp;on AI in cybersecurity. Hacking is complex, and there is no single way in. Why not start at the beginning with Linux Basics for Hackers?

Getting Started with Networking, Scripting, and Security in Kali

Linux Basics for Hackers, 2nd Edition

As a working software developer, you know how to complete your tasks with solid code, whether it's on the frontend or backend. Now you're ready to move to the next level in your career, and you need to understand the subtle yet deep skills it takes to become a senior developer. This practical book shows you everything it takes to create a full-stack web application hosted on a cloud platform. Senior staff engineer Milecia McGregor helps you see how the whole system works and how senior developers arrive at technical decisions. You'll learn about design and development principles and when to apply them. You'll also discover strategies for working with different teams and understand how the product team makes its decisions. In four parts, this book shows you how to: <ul> <li>Translate designs into tasks and learn the questions you'll need to ask the product team </li><li>Walk through development considerations for the backend like overall architecture, security, and third-party services </li><li>Build the project's user interface as well as state and data management, performance, and other concerns associated with frontend apps </li><li>Connect the frontend, backend, and other systems and deploy a full stack app to production </li></ul>

The Hidden Parts Every Mid-Level Developer Needs to Know

Full-Stack JavaScript Strategies

A hands-on toolkit for securing contemporary cloud environments In Cloud Security Fundamentals: Building the Foundations for Secure Cloud Platforms, cybersecurity leader and educator, Jason Edwards, delivers a comprehensive guide to safeguarding data, applications, and infrastructure in the cloud. The author offers a complete walkthrough of cloud security, moving from foundational concepts to advanced, forward-looking practices. The book is filled with practical examples, hands-on guidance, and lessons drawn from real-world cloud security incidents and breaches. It equips readers with the tools and knowledge they need to defend against threats in cloud environments and how to understand coming developments in cloud technology that will impact organizations in all industries. Inside the book: <ul><li>A thorough introduction to cloud-native and advanced security practices for contemporary firms</li> <li> A chapter on relevant cloud security certifications and professional growth advice</li> <li>Practical discussions of foundational concepts in cloud security, including IAM, Zero Trust, and DevSecOps</li> <li> Complete treatments of advanced cloud security themes, like leadership strategies, operational best practices, and techniques for dealing with common and emerging threats</li></ul> Perfect for cloud security professionals, IT managers, and DevOps professionals, Cloud Security Fundamentals will also benefit system administrators, compliance and risk officers, consultants, auditors, and technology students in a variety of fields who require a foundational understanding of cloud security concepts.

Building the Foundations for Secure Cloud Platforms

Cloud Security Fundamentals

To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit. Part 1 takes you step-by-step through coding projects to build APIs using Python and FastAPI and deploy them in the cloud. Part 2 teaches you to consume APIs in a data science project using industry-standard tools. And in Part 3, you'll use ChatGPT, the LangChain framework, and other tools to access your APIs with generative AI and large language models (LLMs). As you complete the chapters in the book, you'll be creating a professional online portfolio demonstrating your new skill with APIs, AI, and data science. You'll learn how to: <ul> <li>Design APIs that data scientists and AIs love </li><li>Develop APIs using Python and FastAPI </li><li>Deploy APIs using multiple cloud providers </li><li>Create data science projects such as visualizations and models using APIs as a data source </li><li>Access APIs using generative AI and LLMs </li></ul> Author Ryan Day is a data scientist in the financial services industry and an open source developer.

Python Development with Fastapi

Hands-On APIs for AI and Data Science

The knowledge and skills of data analytics enable business professionals to make evidence-based decisions rather than just by intuition. To appreciate the knowledge and skills, one needs to understand the theory, hands-on statistical operations using computer software, business application case studies and the analytics project maturity roadmap.Hands-on Data Analytics for Business is a concise all-in-one analytics textbook for business professionals and university students who want to:<ul> <li>Understand the essential theories and concepts of data analytics</li> <li>Grasp hands-on practical statistical and analytics skills step-by-step using SPSS and Excel</li> <li>Appreciate real-world well-known case studies in human resources, marketing and supply chain on how data analytics is applied in business.</li> </ul>This book is for business professionals or university students seeking to master data analytics knowledge and technical skills to a level allowing them to practice data analytics hands-on and manage data analytics projects at scale. For business professionals, the book is written in a way to help learn statistical skills in a concise way with practical real-world examples to inspire business applications. For students, this book is organized in a sequence readily deliverable for a university course, with classes combining theory or concepts, hands-on practice and case studies. For all readers, the book is an essential guide on using data analytics to tackle modern complex activities for companies to gain a competitive edge.

Hands-on Data Analytics for Business

Introducing Python

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