"The Power of Data Mastering Arrays, Lists, and Dictionaries" is a book that delves into the basics of data structures and their applications in computer programming. The book covers the essential concepts of arrays, lists, and dictionaries, which are fundamental data structures that programmers use to store and manipulate data. The book is geared towards readers who are interested in learning how to write efficient and effective code that can handle large amounts of data. It provides a comprehensive introduction to arrays, which are collections of similar data types that are stored in contiguous memory locations. The book also covers lists, which are more flexible than arrays and allow for dynamic resizing, and dictionaries, which are key-value pairs that enable fast and efficient data retrieval. The book includes numerous examples and exercises that help readers develop their skills in working with arrays, lists, and dictionaries. It also discusses common programming techniques, such as sorting, searching, and filtering data, that can be performed on these data structures. Overall, "The Power of Data Mastering Arrays, Lists, and Dictionaries" is a valuable resource for anyone looking to gain a solid understanding of data structures and how to use them in computer programming.

Mastering Unity Scripting is an advanced book intended for students, educators, and professionals familiar with the Unity basics as well as the basics of scripting. Whether you've been using Unity for a short time or are an experienced user, this book has something important and valuable to offer to help you improve your game development workflow.

Build Dynamic, Database-Driven Web Sites PHP is a fully developed, server-side embedded scripting language, and its importance for web application development has grown with the rise of the Apache web server. Are you a novice programmer? This book starts with the basics and takes you wherever you want to go. A seasoned pro? You'll be amazed at how much you can capitalize on PHP's power and object-oriented support, and how it leverages your knowledge of other languages. Finally, if you're a PHP user in search of an authoritative reference, you need look no further. Mastering PHP 4.1 guides you through all levels of real-world web programming problems and provides expert advice on which solutions work best. Coverage Includes: Reading and writing files Validating data with regular expressions Accessing MySQL and PostgreSQL databases Accessing LDAP servers Generating images and PDF documents on the fly Building authentication and access-control systems Sending e-mail and building web-to-e-mail interfaces Creating your own classes Closing common security holes in PHP scripts Parsing and generating XML documents Using sessions to store persistent data Debugging misbehaving scripts Encrypting and decrypting sensitive data Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Unlock your coding potential with Python! KEY FEATURES ● Master Python basics to job-ready skills, all within one comprehensive guide. ● Understand emerging trends and the future of Python programming. ● Understand through interactive exercises, practical case studies, and ready-to-run code examples. DESCRIPTION This book introduces Python, a flexible programming language. Master the fundamentals, then leverage Python's capabilities to solve problems, automate tasks, and bring your ideas to life. In today's tech-driven world, Python transforms you into a creator, not just a consumer. This comprehensive guide equips you with the fundamentals of Python programming, from installing it and setting up your environment to mastering core concepts like variables, data structures, functions, and object-oriented programming (OOP). Explore Python's standard library modules for common tasks like file handling and delve into writing clean Pythonic code using advanced techniques like list comprehensions. This book also covers optional advanced topics like concurrency, networking, and data science applications. Further, you will be able to ensure code quality with testing and debugging techniques mentioned in the book, and learn the best practices for a professional setup (PEP 8). Finally, apply your Python skills by building real-world projects, and prepare for Python developer interviews with confidence. With its clear explanations, technical accuracy, and focus on best practices, this book is your one-stop shop for mastering Python and unlocking its vast potential. WHAT YOU WILL LEARN ● Master Python basics by understanding variables, data types, and operators. ● Enhance your problem-solving abilities by employing loops, conditionals, and algorithms. ● Hands-on coding experiences, constructing practical projects such as calculators and games. ● Data exploration by analyzing data sets, visualizing trends, and making informed decisions. ● Join the Python community to collaborate, share, and contribute to open-source projects. WHO THIS BOOK IS FOR This book is ideal for aspiring learners, professionals transitioning to Python, curious researchers, and students. No prior knowledge of Python is required. TABLE OF CONTENTS 1. Introduction to Python 2. Python Basics 3. Data Structures 4. Functions 5. Object-oriented Programming 6. File Handling 7. Modules and Packages 8. Python's Standard Library and Third-party Libraries 9. Pythonic Programming 10. Advanced Topics in Python 11. Testing and Debugging 12. Best Practices and Coding Standards 13. Building Real-world Applications 14. Python's Future and Trends 15. Hands-on Python Programming 16. Python Interview Preparation: Beginners 17. Python Interview Preparation for Experienced Developers

Turn raw data into meaningful solutions KEY FEATURES ● Complete guide to master data science basics. ● Practical and hands-on examples in ML, deep learning, and NLP. ● Drive innovation and improve decision making through the power of data. DESCRIPTION Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions. This book provides a thorough exploration of essential data science concepts, tools, and techniques. Starting with the fundamentals of data science, you will progress through data collection, web scraping, data exploration and visualization, and data cleaning and pre-processing. You will build the required foundation in statistics and probability before diving into machine learning algorithms, deep learning, natural language processing, recommender systems, and data storage systems. With hands-on examples and practical advice, each chapter offers valuable insights and key takeaways, empowering you to master the art of data-driven decision making. By the end of this book, you will be well-equipped with the essential skills and knowledge to navigate the exciting world of data science. You will be able to collect, analyze, and interpret data, build and evaluate machine learning models, and effectively communicate your findings, making you a valuable asset in any data-driven environment. WHAT YOU WILL LEARN ● Master key data science tools like Python, NumPy, Pandas, and more. ● Build a strong foundation in statistics and probability for data analysis. ● Learn and apply machine learning, from regression to deep learning. ● Expertise in NLP and recommender systems for advanced analytics. ● End-to-end data project from data collection to model deployment, with planning and execution. WHO THIS BOOK IS FOR This book is ideal for beginners with a basic understanding of programming, particularly in Python, and a foundational knowledge of mathematics. It is well-suited for aspiring data scientists and analysts. TABLE OF CONTENTS 1. Unraveling the Data Science Universe: An Introduction 2. Essential Python Libraries and Tools for Data Science 3. Statistics and Probability Essentials for Data Science 4. Data Mining Expedition: Web Scraping and Data Collection Techniques 5. Painting with Data: Exploration and Visualization 6. Data Alchemy: Cleaning and Preprocessing Raw Data 7. Machine Learning Magic: An Introduction to Predictive Modeling 8. Exploring Regression: Linear, Logistic, and Advanced Methods 9. Unveiling Patterns with k-Nearest Neighbors and Naïve Bayes 10. Exploring Tree-Based Models: Decision Trees to Gradient Boosting 11. Support Vector Machines: Simplifying Complexity 12. Dimensionality Reduction: From PCA to Advanced Methods 13. Unlocking Unsupervised Learning 14. The Essence of Neural Networks and Deep Learning 15. Word Play: Text Analytics and Natural Language Processing 16. Crafting Recommender Systems 17. Data Storage Mastery: Databases and Efficient Data Management 18. Data Science in Action: A Comprehensive End-to-end Project