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Catalogue complet

Lubanovic Bill: Introducing Python

Introducing Python

Modern Computing in Simple Packages

You've seen what Python can do. Now go deeper. This workbook transforms Al Sweigart’s best-selling guide from a reading experience into a coding experience. Following Automate the Boring Stuff with Python chapter by chapter, this workbook will help you turn concepts into muscle memory through carefully designed exercises, projects, and real Python scripts. Every concept from Automate is reinforced through carefully sequenced questions, exercises, and projects that help you think like a programmer and prove to yourself that you really get it. At the end of each chapter, you’ll tackle miniprojects that bring everything together. Whether you’re renaming files, scraping websites, converting text to speech, modifying spreadsheets, or sending emails, you’ll build scripts that do real work. Fun projects like image generators and word games are in the mix too, not just boring stuff. Every question and project come with a solution at the back of the book, so you’re never stuck. Inside, you’ll find: <ul><li> Fill-in-the-blank and short-answer questions that reinforce key concepts</li><li>Targeted exercises to build fluency with variables, loops, functions, regular expressions, and more</li><li>Real Python scripts to run, tweak, and debug</li><li>Projects that automate common tasks like organizing files, backing up data, and scheduling programs</li><li>Full working code for every project so you can check your work and learn by example</li></ul> With over 500,000 copies sold worldwide, Automate the Boring Stuff with Python has become the go-to guide for learning Python. This workbook gives you the structure, feedback, and smart reinforcement to go from reading code to writing it with confidence.

Projects and Exercises to Sharpen Your Python Skills

Automate the Boring Stuff with Python Workbook

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

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

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

Maintaining secrets, credentials, and machine identities in secure ways is an important, though often overlooked, aspect of secure software development. DevOps security often addresses vulnerabilities, but it neglects broader discussions like authentication, authorization, and access control, potentially leaving the door open for breaches. That's where an identity security strategy integrated in your code, infrastructure, and environments from day one can help. In this practical book, authors John Walsh, Uzi Ailon, and Matt Barker provide conceptual frameworks, technology overviews, and useful code snippets to bridge the gap between development, IT, and security to integrate robust identity security across apps, CI/CD pipelines, Kubernetes and cloud native, hybrid and multicloud, process automation, IoT, and more. You'll learn: <ul> <li>What developers need to know about managing secrets and identity to build safer apps </li><li>What machine identities, secrets, and credentials are--and how to secure them </li><li>How to secure the software supply chain to build safer apps </li><li>How identity security fits into modern software development practices </li></ul>

Building with Identity, Secrets, and Credentials

Identity Security for Software Development

DK Complete Courses

Learning to code has never been easier than with this innovative visual guide to computer programming for beginners. In our digital world, coding skills are in high demand and the need for programmers is still growing. Taking the first steps in learning to code may seem daunting but by using a graphic method to break code into small chunks, this book brings essential skills easily within reach. Each chapter explores one of the most popular languages, with practical programming projects to show you how programming works. You'll learn to think like a programmer by breaking a problem down into parts, before turning those parts into lines of code. Short, easy-to-follow steps then show you, piece by piece, how to build a complete program. There are challenges for you to tackle to build your confidence before moving on. Written by a team of expert coders and coding teachers, the Beginner's Step-by-Step Coding Course is the ideal way to get to grips with coding.

Learn Computer Programming the Easy Way

Beginner's Step-by-Step Coding Course

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

Do you want to build web pages but have no prior experience? This friendly guide is the perfect place to start. You'll begin at square one, learning how the web and web pages work, and then steadily build from there. By the end of the book, you'll have the skills to create a simple site with multicolumn pages that adapt for mobile devices. Each chapter provides exercises to help you learn various techniques and short quizzes to make sure you understand key concepts. This thoroughly revised sixth edition is ideal for students and professionals of all backgrounds and skill levels. It's simple and clear enough for beginners yet thorough enough to be a useful reference for experienced developers keeping their skills up-to-date. <ul> <li>Build HTML pages with text, links, images, tables, and forms</li> <li>Use style sheets (CSS) for formatting text, colors, backgrounds, page layout, and simple animation effects</li> <li>Use CSS Flexbox and Grid Layout for sophisticated and flexible page designs</li> <li>Learn the ins and outs of responsive web design to make web pages look great on all devices</li> <li>Get an introductory lesson in JavaScript programming, and use it to add functionality to web pages</li> <li>Understand the ways in which JavaScript has become central to the web development workflow</li> <li>Create and optimize web images so they'll download as quickly as possible</li> <li>Get to know the superpowers of the SVG format</li> </ul>The sixth edition features a completely rewritten and expanded JavaScript section written by Aaron Gustafson that provides more opportunities to practice writing code.

A Beginner's Guide to Html, Css, Javascript, and Web Graphics

Learning Web Design

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

Looking to accelerate development and build cloud native applications with AWS Cloud Development Kit? Through hands-on projects, you'll learn the basics of AWS CDK, the tool of choice for many of the world's largest technology companies. Informed by real case studies and years of work with enterprise-scale cloud architectures, this book will benefit both novice and advanced cloud developers. It's complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions to help you build a shareable portfolio of completed projects, demonstrating your ability to build cloud infrastructure at scale. You'll explore: <ul> <li>Basic cloud computing concepts, including the AWS Well-Architected Framework </li><li>End-to-end cloud native software and infrastructure as code </li><li>The benefits of a reusable code library to accelerate your projects </li><li>Functional modules of code that can stand alone or build toward an integrated cloud application </li></ul>

Building Cloud Native Applications with Infrastructure-As-Code

Hands-On AWS Cdk

Introducing Python

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