Altri libri che potrebbero interessarti

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  Data Structures and Algorithms...

  Brian Paul

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  Dive into the world of data structures and algorithms with this comprehensive guide tailored for Python programmers. "Data Structures and Algorithms with Python: Elevating Your Coding Skills with Data Structures and Algorithms" is an essential resource for anyone looking to deepen their understanding of computational methods and enhance their problem-solving skills. 
  Starting with the basics of Python and progressing through to complex data structures and algorithmic techniques, this book offers a structured approach to learning. It not only demystifies the theoretical aspects of the topics but also provides practical implementations and real-world applications, ensuring that readers gain hands-on experience. 
  "Data Structures and Algorithms with Python" is more than just a book; it's a pathway to enhancing your coding expertise, improving your analytical thinking, and solving complex computational problems with confidence. Embark on this educational journey to unlock new possibilities in your programming career or hobbyist endeavors. 
   

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  Programming with GitHub Copilot...

  Kurt Dowswell

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  In Programming with GitHub Copilot: Write Better Code—Faster, veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. 
   
   
   
  Even if you've used autocomplete tools—like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code. You'll learn how to install, configure, and use the software, from employing it's most common and widely used features to deploying business and enterprise functionality. You'll even discover how to fix runtime and compilation bugs and write unit, integration, and end-to-end tests. 
   
   
   
  You'll also find: 
   
   
   
  ● Prompt strategies to get GitHub Copilot to help you brainstorm new code solutions 
   
   
   
  ● What the future looks like for AI-assisted coding, including discussions of issues like code licensing and ethics 
   
   
   
  ● Directions for chatting with Copilot, including common commands and prompts to help you guide the conversation to where you want it to go

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  Introduction to Bioinformatics -...

  Ben Rizer

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  Bioinformatics is a rapidly evolving field at the crossroads of biology and computational science, where the complexities of genetic and molecular data are unraveled through advanced computational techniques. Introduction to Bioinformatics serves as a comprehensive guide for those venturing into this interdisciplinary domain, providing a thorough overview of how bioinformatics transforms biological research and medical practice. 
  This book begins with foundational concepts, explaining the core principles of molecular biology and how they intersect with computational methods. Readers will explore the significance of DNA, RNA, and proteins in the context of bioinformatics, learning how these biological molecules are analyzed through cutting-edge technologies like next-generation sequencing and RNA sequencing. 
  The text delves into essential bioinformatics tools and techniques, including sequence alignment algorithms and the use of substitution matrices such as PAM and BLOSUM. It also covers the practical applications of bioinformatics in genomics, proteomics, and personalized medicine, highlighting how these innovations contribute to our understanding of genetic variation, disease mechanisms, and targeted therapies. 
  Introduction to Bioinformatics is designed for students, researchers, and professionals seeking to understand the intersection of biological data and computational science. With its clear explanations, practical examples, and forward-looking perspective, this book provides readers with the knowledge and tools needed to navigate and contribute to the exciting world of bioinformatics. 
   

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  Data Structures and Algorithms...

  SAM CAMPBELL

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  Dive into the world of data structures and algorithms with this comprehensive guide tailored for Python programmers. "Data Structures and Algorithms with Python: Elevating Your Coding Skills with Data Structures and Algorithms" is an essential resource for anyone looking to deepen their understanding of computational methods and enhance their problem-solving skills. 
  Key Features:Comprehensive Coverage: From basic data types and control structures in Python to advanced topics like graph algorithms and dynamic programming, this book covers a wide range of fundamental and complex concepts.Hands-On Learning: Each chapter includes Python code examples, exercises, and challenges that encourage active participation and reinforce learning.Complexity Analysis: Understand how to evaluate the efficiency of algorithms and data structures using Big O notation, enabling you to select the most appropriate tool for your coding projects.Real-World Applications: Discover how data structures and algorithms are applied in various fields such as web development, data analysis, machine learning, and more, through case studies and projects.Resources for Further Learning: An extensive list of resources, including books, online courses, and tutorials, is provided to support continued learning and exploration beyond the book. 
  "Data Structures and Algorithms with Python" is more than just a book; it's a pathway to enhancing your coding expertise, improving your analytical thinking, and solving complex computational problems with confidence. Embark on this educational journey to unlock new possibilities in your programming career or hobbyist endeavors.

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  Magick for All Seasons - A...

  Marla Brooks

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  “Marla Brooks has crafted a down-to-earth collection of Witch Wisdom. The inclusion of Great-Grandma Sophie’s witchy tips adds a charming touch, making the reader feel as though they are receiving teachings from a trusted elder.” —Jason Miller, author of Consorting with Spirits and other works   Explore the seasons of the witch by way of magickal spells and practices for each turn of the Wheel of the Year. Magick for All Seasons offers a fresh approach to a lifestyle that focuses on mind, body, and spirit in the nature-based way that our ancestors practiced throughout the ages.   Each season is marked by a series of holy days, or sabbats, to honor the qualities of each time of the year, life’s lessons as revealed through nature, and our relationship with the god and goddess. These holy days are divided into Greater Sabbats and Lesser Sabbats which reflect the themes of birth, death, and rebirth. The spokes of the Wheel are comprised of the four Greater and four Lesser Sabbats.  “The biggest takeaway from the Wheel of the Year is that your life will ebb and flow just as plants drop their seeds, grow, lose their leaves, die in winter, and grow back again. Your life experiences all of the seasons in the human way.” —from the foreword by Lorriane Anderson   Starting with Samhain, author Marla Brooks, an experienced and longtime magickal practitioner, explores the eight Wiccan and Pagan sabbats that comprise the traditional Wheel of the Year. She incorporates original spells, recipes, incantations, meditations, and more that enhance the magick of each season. Each sabbat is detailed with information on the symbolism, activities, tools, incense, and gemstones used, along with specific workings and exercises.

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  Data Mesh - Transforming Data...

  Daniel Garfield

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  "Data Mesh: Transforming Data Architecture for Decentralized and Scalable Insights" 
  In today's data-driven world, organizations are constantly seeking ways to extract meaningful insights from their ever-growing data volumes. Traditional centralized data architectures often struggle to keep up with the demands of scalability, agility, and distributed decision-making. Enter Data Mesh, a revolutionary approach to data architecture that aims to empower decentralized teams and unlock the full potential of data within organizations. 
  In this book, "Data Mesh: Transforming Data Architecture for Decentralized and Scalable Insights," we delve into the world of Data Mesh and explore how it can revolutionize the way organizations handle data. We provide a comprehensive overview of the principles, components, and benefits of Data Mesh, guiding readers through the process of implementing a decentralized and scalable data architecture. 
  Looking towards the future, we discuss emerging technologies and their implications for Data Mesh, as well as the evolving roles and skills required in a decentralized data landscape. We provide predictions for the future of data architecture and insights, helping readers stay ahead in this ever-evolving field. 
  "Data Mesh: Transforming Data Architecture for Decentralized and Scalable Insights" is an essential resource for data professionals, architects, and business leaders seeking to harness the power of data in a decentralized and scalable manner. By embracing the principles and practices of Data Mesh, organizations can unlock the full potential of their data and achieve unparalleled insights and competitive advantage. 
   

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