Books

Witness the rise of the man who transformed the Roman Republic forever. From political intrigue and epic military campaigns to the crossing of the Rubicon and the Ides of March, Julius Caesar: The Steel Republic brings one of history's greatest leaders vividly to life in an immersive and compelling biography.

Strip away two thousand years of Hollywood myth and Roman propaganda to discover the real sovereign behind the legend. Cleopatra: Shadows and Splendor delivers an epic, 100-chapter forensic deep dive into the brilliant mind, masterclass diplomacy, and high-stakes strategy of Egypt’s final queen. Step into the cutthroat court of ancient Alexandria and experience the definitive account of a woman who held the fate of empires in her hands.

Build a solid mathematical foundation for computer science and symbolic artificial intelligence. Explore sets, relations, combinatorial probability, arithmetic structures, information encoding, and numeration systems through a rigorous yet accessible approach that connects mathematical theory to real-world computational applications.

Stop guessing the math behind AI and start coding it. This practical guide bridges the gap between complex formulas and real-world Python implementation, giving you the exact blueprint to master the algorithms powering modern machine learning.

A hands-on, code-first journey from raw EEG signals to deep learning andself-supervised foundation models — with a runnable Colab notebook for everychapter.

"You left port with dreams,Now you clung to the nightmares of realityA sole survivor" "All the clutter of sadnessspills upon blackening floors" Breathing free, the monster hunted on "Enclosed in glass and metal they watch it all pass by" "The bed was occupied by emptiness"

You have built an AI agent that works beautifully in a demo, then falls apart the moment real users arrive: it invents answers, burns through tokens, and freezes on slow tools. The problem was never your prompt. This book shows you the real fix, layer by layer, and turns "I hope my agent works" into "I can prove it does."

This book is written for you who want to build professional C# software — not just codethat compiles, but code that can be maintained, tested, scaled, and explained to others.

Its a chat.. irl between alex and jordan

Want to learn Python from the ground up and master its real-world applications?Python Programming: Basics to Advanced Concepts is your complete guide to one of the world's most powerful and versatile programming languages. Whether you are a BCA or MCA student, an aspiring software developer, a competitive examination candidate, or a technology enthusiast, this book provides a structured learning path from Python fundamentals to advanced programming techniques.Inside this book, you will learn:✔ Python syntax, variables, data types, and operators✔ Conditional statements, loops, and functions✔ Lists, tuples, dictionaries, sets, and strings✔ Object-Oriented Programming (OOP)✔ Exception handling and file management✔ Modules, packages, generators, and decorators✔ Database programming with SQLite and MySQL✔ GUI development using Tkinter✔ Web development with Flask and Django✔ Data analysis using NumPy and Pandas✔ Machine Learning fundamentals with Python✔ Network programming and cybersecurity applications✔ Testing, debugging, and performance optimization✔ End-to-end Python project developmentThe book combines academic rigor with practical learning, offering clear explanations, coding examples, exercises, and real-world applications throughout every chapter.Whether your goal is to excel in university examinations, prepare for interviews, build software projects, or launch a professional programming career, this book provides the knowledge, skills, and confidence required to become a proficient Python developer.Start your Python journey today and unlock opportunities in software development, data science, artificial intelligence, cybersecurity, automation, and beyond.

Mastering Deep Learning with PyTorch: From Fundamentals to Real-World Projects This first edition delivers a complete end-to-end learning pathway for mastering modern deep learning using PyTorch. Major Topics Covered • Deep Learning Fundamentals• Artificial Neural Networks• PyTorch Framework and Tensor Operations• Automatic Differentiation (Autograd)• Feedforward Neural Networks• Convolutional Neural Networks (CNNs)• Recurrent Neural Networks (RNNs)• Long Short-Term Memory Networks (LSTMs)• Attention Mechanisms• Transformer Architectures• Hugging Face Ecosystem• Generative Adversarial Networks (GANs)• Computer Vision Applications• Natural Language Processing Applications• Model Evaluation and Optimization• Hyperparameter Tuning• Explainable Artificial Intelligence (XAI)• Ethical AI and Bias Mitigation• Model Deployment and Production Pipelines Practical Implementations Included • Image Classification Systems• Object Detection Models• Image Segmentation Applications• Text Classification Systems• Sentiment Analysis Models• Language Translation Pipelines• Transformer-Based NLP Applications• GAN-Based Image Generation Capstone Projects Project 1: Pneumonia Detection using CNNProject 2: Sentiment Analysis using LSTMProject 3: Image Colorization using GANProject 4: Real-Time Object Detection SystemProject 5: Transformer-Based Intelligent Chatbot Industry Tools and Technologies • PyTorch• TorchVision• Hugging Face Transformers• TensorBoard• Flask• ONNX• Docker Concepts• AWS Deployment Basics• Google Cloud Deployment Concepts Intended Audience • Undergraduate Students• Postgraduate Students• Data Scientists• Machine Learning Engineers• AI Researchers• Software Developers• Academic Professionals• Industry Practitioners Learning Outcomes Upon completion of this book, readers will be able to:• Design and train neural network architectures.• Build computer vision applications using CNNs.• Develop NLP solutions using RNNs, LSTMs, and Transformers.• Implement generative AI systems using GANs.• Evaluate and optimize deep learning models.• Deploy PyTorch models into production environments.• Understand ethical considerations in AI development.• Create portfolio-ready deep learning projects.This release establishes a strong foundation for academic learning, industrial applications, and advanced research in modern deep learning.

A 24-year game design veteran's field manual for putting generative AI to work in real production — with every prompt, every line of code, and every verification step disclosed.