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Data Science Uncovered: First Principles Using Python is not just another data science book—it’s a foundational journey into the very core of how data science works and why. Whether you're a curious beginner or a self-taught coder ready to level up, this book empowers you to build data science knowledge from the ground up—no hand-waving, no black boxes.
Guided by the logic of first principles and powered by Python, you'll unravel the
Data Science Uncovered: First Principles Using Python is not just another data science book—it’s a foundational journey into the very core of how data science works and why. Whether you're a curious beginner or a self-taught coder ready to level up, this book empowers you to build data science knowledge from the ground up—no hand-waving, no black boxes.
Guided by the logic of first principles and powered by Python, you'll unravel the core ideas behind statistics, machine learning, and data analysis—concepts that most books gloss over. Learn not just how to use the tools, but why they work. Step by step, you’ll build your own algorithms, visualize data insights, and discover the real power of computation and logic in solving real-world problems.
Unlike books that rely heavily on libraries or pre-written models, Data Science Uncovered teaches you to think like a data scientist—analytically, deeply, and creatively. Along the way, you'll explore key topics such as regression, classification, clustering, and model evaluation, all through hands-on Python code that you write yourself.
If you've ever wanted to understand data science from the inside out—to see beyond the code into the ideas that drive it—this is your invitation.
Unlock the principles. Build the intuition. Code your way to mastery.
Data Science Uncovered: First Principles Using Python is not just another data science book—it’s a foundational journey into the very core of how data science works and why. Whether you're a curious beginner or a self-taught coder ready to level up, this book empowers you to build data science knowledge from the ground up—no hand-waving, no black boxes.
Guided by the logic of first principles and powered by Python, you'll unravel the
Data Science Uncovered: First Principles Using Python is not just another data science book—it’s a foundational journey into the very core of how data science works and why. Whether you're a curious beginner or a self-taught coder ready to level up, this book empowers you to build data science knowledge from the ground up—no hand-waving, no black boxes.
Guided by the logic of first principles and powered by Python, you'll unravel the core ideas behind statistics, machine learning, and data analysis—concepts that most books gloss over. Learn not just how to use the tools, but why they work. Step by step, you’ll build your own algorithms, visualize data insights, and discover the real power of computation and logic in solving real-world problems.
Unlike books that rely heavily on libraries or pre-written models, Data Science Uncovered teaches you to think like a data scientist—analytically, deeply, and creatively. Along the way, you'll explore key topics such as regression, classification, clustering, and model evaluation, all through hands-on Python code that you write yourself.
If you've ever wanted to understand data science from the inside out—to see beyond the code into the ideas that drive it—this is your invitation.
Unlock the principles. Build the intuition. Code your way to mastery.
Unlock the power of Python through the lens of essential computer science fundamentals. This book offers a fresh, Python-centric take on data structures and algorithms, drawing inspiration from the acclaimed works Data Structures and Algorithms in Java and Data Structures and Algorithms in C++ by Goodrich and Tamassia. But this is far more than a simple translation—it is a complete reimagining tailored for the Python language.
Designed for studen
Unlock the power of Python through the lens of essential computer science fundamentals. This book offers a fresh, Python-centric take on data structures and algorithms, drawing inspiration from the acclaimed works Data Structures and Algorithms in Java and Data Structures and Algorithms in C++ by Goodrich and Tamassia. But this is far more than a simple translation—it is a complete reimagining tailored for the Python language.
Designed for students, educators, and professionals alike, this book presents core concepts with clarity, depth, and practical implementation. Algorithms previously expressed in pseudocode are now fully realized in idiomatic Python, while data structures are built to align with Python’s dynamic typing, built-in collections, and object-oriented design.
Notably, the book delves deeply into how Python’s native types—like list, tuple, and str—work under the hood, offering readers a behind-the-scenes look in Chapter 5 and an all-new Appendix A. Throughout the text, over 450 detailed illustrations bring complex ideas to life, making it easier than ever to grasp fundamental and advanced topics.
Whether you're preparing for technical interviews, coursework, or real-world software development, this book will equip you with the knowledge and tools to write efficient, elegant, and Pythonic code.
Perfect for readers who want more than just theory—this is your gateway to mastering data structures and algorithms in Python.
Unlock the power of Python through the lens of essential computer science fundamentals. This book offers a fresh, Python-centric take on data structures and algorithms, drawing inspiration from the acclaimed works Data Structures and Algorithms in Java and Data Structures and Algorithms in C++ by Goodrich and Tamassia. But this is far more than a simple translation—it is a complete reimagining tailored for the Python language.
Designed for studen
Unlock the power of Python through the lens of essential computer science fundamentals. This book offers a fresh, Python-centric take on data structures and algorithms, drawing inspiration from the acclaimed works Data Structures and Algorithms in Java and Data Structures and Algorithms in C++ by Goodrich and Tamassia. But this is far more than a simple translation—it is a complete reimagining tailored for the Python language.
Designed for students, educators, and professionals alike, this book presents core concepts with clarity, depth, and practical implementation. Algorithms previously expressed in pseudocode are now fully realized in idiomatic Python, while data structures are built to align with Python’s dynamic typing, built-in collections, and object-oriented design.
Notably, the book delves deeply into how Python’s native types—like list, tuple, and str—work under the hood, offering readers a behind-the-scenes look in Chapter 5 and an all-new Appendix A. Throughout the text, over 450 detailed illustrations bring complex ideas to life, making it easier than ever to grasp fundamental and advanced topics.
Whether you're preparing for technical interviews, coursework, or real-world software development, this book will equip you with the knowledge and tools to write efficient, elegant, and Pythonic code.
Perfect for readers who want more than just theory—this is your gateway to mastering data structures and algorithms in Python.
Welcome to Introduction to Artificial Intelligence (AI) and Machine Learning (ML)! AI and ML are transforming industries, from self-driving cars to predictive analytics. This textbook introduces these technologies, providing both foundational knowledge and practical applications.
Intended Audience:
Designed for students and professionals in computer science, data science, and engineering, this book caters to all levels, offering a blend
Welcome to Introduction to Artificial Intelligence (AI) and Machine Learning (ML)! AI and ML are transforming industries, from self-driving cars to predictive analytics. This textbook introduces these technologies, providing both foundational knowledge and practical applications.
Intended Audience:
Designed for students and professionals in computer science, data science, and engineering, this book caters to all levels, offering a blend of theory and hands-on practice.
Structure and Approach:
Starting with core concepts, the book covers AI/ML history, techniques, and algorithms, progressing to advanced topics like deep learning and natural language processing, with coding examples for practical experience.
Key Features:
Hands-on Examples: Practical coding with TensorFlow, Keras, and scikit-learn.
Case Studies: Real-world applications in healthcare, finance, and more.
Tools & Techniques: Key AI/ML libraries and frameworks.
Emerging Trends: AI ethics, neural networks, and societal impacts.
This book is your comprehensive guide to mastering AI and ML for academic, professional, and personal projects.
Welcome to Introduction to Artificial Intelligence (AI) and Machine Learning (ML)! AI and ML are transforming industries, from self-driving cars to predictive analytics. This textbook introduces these technologies, providing both foundational knowledge and practical applications.
Intended Audience:
Designed for students and professionals in computer science, data science, and engineering, this book caters to all levels, offering a blend
Welcome to Introduction to Artificial Intelligence (AI) and Machine Learning (ML)! AI and ML are transforming industries, from self-driving cars to predictive analytics. This textbook introduces these technologies, providing both foundational knowledge and practical applications.
Intended Audience:
Designed for students and professionals in computer science, data science, and engineering, this book caters to all levels, offering a blend of theory and hands-on practice.
Structure and Approach:
Starting with core concepts, the book covers AI/ML history, techniques, and algorithms, progressing to advanced topics like deep learning and natural language processing, with coding examples for practical experience.
Key Features:
Hands-on Examples: Practical coding with TensorFlow, Keras, and scikit-learn.
Case Studies: Real-world applications in healthcare, finance, and more.
Tools & Techniques: Key AI/ML libraries and frameworks.
Emerging Trends: AI ethics, neural networks, and societal impacts.
This book is your comprehensive guide to mastering AI and ML for academic, professional, and personal projects.
In today's fast-paced digital landscape, successful software project management is more important than ever. Whether you're managing a small team or a large global project, this comprehensive guide provides invaluable insights and methods. Discover proven approaches and best practices to keep your projects on track and produce excellent results, from the beginning to the end. "Mastering Software Projects" is packed with real-world examples and concrete guidanc
In today's fast-paced digital landscape, successful software project management is more important than ever. Whether you're managing a small team or a large global project, this comprehensive guide provides invaluable insights and methods. Discover proven approaches and best practices to keep your projects on track and produce excellent results, from the beginning to the end. "Mastering Software Projects" is packed with real-world examples and concrete guidance, giving you the tools you need to overcome hurdles, optimize resources, and achieve project success in an ever-changing technological world.
In today's fast-paced digital landscape, successful software project management is more important than ever. Whether you're managing a small team or a large global project, this comprehensive guide provides invaluable insights and methods. Discover proven approaches and best practices to keep your projects on track and produce excellent results, from the beginning to the end. "Mastering Software Projects" is packed with real-world examples and concrete guidanc
In today's fast-paced digital landscape, successful software project management is more important than ever. Whether you're managing a small team or a large global project, this comprehensive guide provides invaluable insights and methods. Discover proven approaches and best practices to keep your projects on track and produce excellent results, from the beginning to the end. "Mastering Software Projects" is packed with real-world examples and concrete guidance, giving you the tools you need to overcome hurdles, optimize resources, and achieve project success in an ever-changing technological world.
Due to their ease, mobile phones have become a necessary component of modern life, democratising and revolutionising communication and the exchange of ideas. Due to their widespread usage in higher education, cellphones and tablets are now commonplace in undergraduate classes as teaching aids.
This handbook about current issues and developments in mobile applications will highlight the difficulties colleges have when introducing new technology to professor
Due to their ease, mobile phones have become a necessary component of modern life, democratising and revolutionising communication and the exchange of ideas. Due to their widespread usage in higher education, cellphones and tablets are now commonplace in undergraduate classes as teaching aids.
This handbook about current issues and developments in mobile applications will highlight the difficulties colleges have when introducing new technology to professors and students, as well as the benefits of doing so with consideration. The purpose of this book is to provide educators, administrators, researchers, app developers, and students studying education and technology with an up-to-date presentation of the most recent findings.
This book covers a wide range of academic topics, including but not limited to:
App-Based Instruction
Information Sharing and App Development for Education
Transmobile Communication
Design of Mobile Curriculum
Mobile Education
Student Contentment
Teacher Contentment with Technology-Enhanced Education
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