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Lubanovic Bill: Introducing Python

Introducing Python

Modern Computing in Simple Packages

This book provides readers with the concepts and tools necessary to bring a robot to life through programming. It will equip them with the skills necessary to undertake projects with ROS2, the new version of ROS, with no previous experience with ROS2 needed.

A Concise Introduction to Robot Programming with ROS 2

Whether they're building a startup or scaling an established org, engineering leaders know the real job is keeping chaos under control. In a world of shifting priorities, scarce resources, and rapid change, leadership means embracing the unknown, managing moving targets, and creating clarity where there's none. Sometimes, you're building the plane as you're flying it--writing the roadmap as you go, designing processes in real time. Engineering Leadership: The Hard Parts cuts through the noise, offering a guide for tackling these gritty, real-world challenges. Current and future leaders, this is your toolkit. It's packed with principles, techniques, and mental models for thriving in uncertainty. <ul><li>Navigate the full scope: Step into engineering leadership's complex, multifaceted role</li> <li>Build high-impact teams: Master advanced techniques to grow and lead your technical talent</li> <li>Align and execute: Connect strategy to business outcomes, scale effectively, and balance innovation with precision</li> <li>Lead with resilience: Adapt quickly and drive continuous improvement</li> <li>Accelerate your career: Develop your leadership edge and unlock new growth</li> </ul> Stay ahead. Lead with purpose.

Navigating Chaos to Build Teams That Deliver

Engineering Leadership: The Hard Parts

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

This book is designed to cater to readers who prefer a hands-on guide using SPSS Modeler, a widely popular software that does not require coding or programming skills. It targets a broad audience, including students, lecturers, researchers, and industry professionals.

Data Science and Machine Learning Using IBM SPSS Modeler

Demystifying AI

Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data. In this hands-on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every feature of Polars, showing you how to use it for real-world tasks like data wrangling, exploratory data analysis, building pipelines, and more. Whether you're a seasoned data professional or new to data science, you'll quickly master Polars' expressive API and its underlying concepts. You don't need to have experience with pandas, but if you do, this book will help you make a seamless transition. The many practical examples and real-world datasets are available on GitHub, so you can easily follow along. <ul> <li>Process data from CSV, Parquet, spreadsheets, databases, and the cloud </li><li>Get a solid understanding of Expressions, the building blocks of every query </li><li>Handle complex data types, including text, time, and nested structures </li><li>Use both eager and lazy APIs, and know when to use each </li><li>Visualize your data with Altair, hvPlot, plotnine, and Great Tables </li><li>Extend Polars with your own Python functions and Rust plugins </li><li>Leverage GPU acceleration to boost performance even further </li></ul>

Transforming, Analyzing, and Visualizing Data with a Fast and Expressive Dataframe API

Python Polars: The Definitive Guide

Python for Accounting and Finance: A Mind-Mapping Approach is an innovative textbook written for accounting and finance students and professionals with no prior coding experience. It introduces Python programming through a mind mapping approach that presents complex concepts in a clear and structured way to support understanding and retention.The book is organised into four parts: Python Basics, Data Analysis and Visualisation, Automation, and Machine Learning. It places programming within practical accounting and finance contexts so that learners can see the direct application of coding in their field. The textbook uses mind maps as a core instructional method. These visual diagrams show programming concepts and their connections, helping learners to understand, organise and recall information, particularly those who learn through visual representation.Enhanced with Google Colab notebooks, this book creates a highly supportive learning experience, equipping students of accounting and finance with essential programming skills for their speciality.

A Mind-Mapping Approach

Python for Accounting and Finance

From First Script to Full Website—Fast! Tired of cobbling together PHP solutions from scattered online tutorials? Frustrated by outdated PHP practices that leave your code vulnerable and hard to maintain? Whether you’re building your first dynamic website or modernizing legacy systems, PHP Crash Course gives you a complete, practical foundation for writing professional web applications. In this comprehensive, example-driven guide, you’ll learn how to: <ul><li>Write clean, maintainable PHP code using modern language features and best practices</li><li>Build secure web applications that protect against common vulnerabilities</li><li>Master database integration using PDO and object-relational mappings (ORMs)</li><li>Implement professional features like shopping carts and user authentication</li><li>Structure applications using object-oriented programming and model-view-controller (MVC) patterns</li><li>Leverage powerful tools like Composer and Twig to accelerate development </li></ul> Starting with PHP fundamentals, you’ll progress through six carefully crafted sections covering essential patterns, security best practices, database integration, and advanced concepts like object-oriented programming. Each chapter builds on real-world examples, giving you the skills to solve common development challenges. Whether you’re a complete beginner or an experienced developer looking to modernize your PHP skills, PHP Crash Course gives you everything you need to build professional, dynamic websites with confidence. Includes setup instructions for Windows, macOS, and Linux, and configuration details for Replit, the free online development environment.

From First Script to Full Website—Fast! Tired of cobbling together PHP solutions from scattered online tutorials? Frustrated by outdated PHP practices that leave your code vulnerable and hard to maintain? Whether you’re building your first dynamic website or modernizing legacy systems, PHP Crash Course gives you a complete, practical foundation for writing professional web applications. In this comprehensive, example-driven guide, you’ll learn how to: <ul><li>Write clean, maintainable PHP code using modern language features and best practices</li><li>Build secure web applications that protect against common vulnerabilities</li><li>Master database integration using PDO and object-relational mappings (ORMs)</li><li>Implement professional features like shopping carts and user authentication</li><li>Structure applications using object-oriented programming and model-view-controller (MVC) patterns</li><li>Leverage powerful tools like Composer and Twig to accelerate development </li></ul> Starting with PHP fundamentals, you’ll progress through six carefully crafted sections covering essential patterns, security best practices, database integration, and advanced concepts like object-oriented programming. Each chapter builds on real-world examples, giving you the skills to solve common development challenges. Whether you’re a complete beginner or an experienced developer looking to modernize your PHP skills, PHP Crash Course gives you everything you need to build professional, dynamic websites with confidence. Includes setup instructions for Windows, macOS, and Linux, and configuration details for Replit, the free online development environment.

The Complete, Modern, Hands-On Guide

PHP Crash Course

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

This textbook offers a comprehensive introduction to data science and financial technology, with a focus on advanced tools, data modeling, and their applications in FinTech. Adopting an inquiry-based approach, it integrates detailed case studies, clear definitions of financial terms, and practical examples to guide readers through core concepts and methods.Step-by-step illustrations demonstrate how programs are developed, making the material accessible for students. Dedicated chapters explore cutting-edge applications such as AdviceTech, AgTech, PropTech, chatbots, and sentiment analytics. To support hands-on learning, the book also provides sample code and data sets, enabling readers to experiment, practice, and ultimately design their own programs.Designed for those with a basic foundation in programming, this book is an ideal companion for applying data science techniques to financial and technological contexts. It is particularly valuable for postgraduate and advanced students in FinTech, Business Analytics, and Data Science programs.

Models, Tools, and Case Studies

Applied Data Science in FinTech

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

Java Generics and Collections has been the go-to guide to generics for more than a decade. This second edition covers Java 21, providing a clear guide to generics from their most common uses to the strangest corner cases, giving you everything you need to know to use and write generic APIs effectively. It covers the collections library thoroughly, so you'll always know how and when to use each collection for any given task. And it explains stream processing, so you'll know which model to use and how they interoperate to get the best out of the platform library. This indispensable guide covers: <ul> <li>Fundamentals of generics: type parameters and generic methods </li><li>Subtyping and wildcards </li><li>Generics and reflection </li><li>Design patterns for generics </li><li>Sets, queues, lists, maps, and their implementations </li><li>Concurrent programming and thread safety with collections </li><li>Performance of different collection implementations </li><li>Best practices for using and extending the Java collections framework </li><li>Design philosophy and comparison with other collections libraries </li></ul>

Fundamentals and Recommended Practices

Java Generics and Collections

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

Sybex Study Guide

Your complete Guide to preparing for the AWS® Certified Data Engineer: Associate exam The AWS® Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C01 Associate exam. This Sybex Study Guide covers 100% of the DEA-C01 objectives. Prepare for the exam faster and smarter with Sybex thanks to accurate content including, an assessment test that validates and measures exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and retain what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get ready for the AWS Certified Data Engineer exam - quickly and efficiently - with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for: <ul><li>Data Ingestion and Transformation</li><li>Data Store Management</li><li>Data Operations and Support</li><li>Data Security and Governance</li></ul> ABOUT THE AWS DATA ENGINEER - ASSOCIATE CERTIFICATION The AWS Data Engineer - Associate certification validates skills and knowledge in core data-related Amazon Web Services. It recognizes your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices Interactive learning environment Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: ¿ Interactive test bank with 5 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam. ¿ 100 electronic flashcards to reinforce learning and last-minute prep before the exam ¿ Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared

Associate (DEA-C01) Exam

AWS Certified Data Engineer Study Guide

Introducing Python

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