FastAPI

Bad data breaks good code. You’ve written Python that works perfectly in testing, only to watch it fail in production because of a malformed API request, a messy CSV, or a missing config value. That’s the hidden cost of Python’s flexibility: without runtime validation, you’re always one bad input away from a crash. Enter Pydantic. This book takes you from the foundations of data validation to real-world applications in APIs, data pipelines, configurations, and machine learning workflows. Along the way, you’ll explore practical techniques, advanced features, and alternatives like Marshmallow, attrs, and dataclasses, so you’ll always know which tool is right for the job. If you’re a Python developer, data engineer, or FastAPI user, this is your roadmap to writing safer, cleaner, and more reliable code.

Learn FastAPI through visual explanations of HTTP request flow, validation, dependencies, databases, security, testing, and deployment.

Build the engineering foundations required to design and develop production-grade AI systems—from Python and FastAPI to databases, security, semantic search, RAG, LLM architecture, and AI application performance.Go beyond Python programming and start thinking like an AI Engineer.The AI Engineer — Volume I takes you from professional Python engineering to the foundations of modern AI application development.You will build the engineering knowledge required to create reliable AI systems—not just experimental notebooks or simple API calls.A project-based AI engineering book covering Python production engineering, FastAPI, PostgreSQL, authentication, testing, reliability, embeddings, semantic search, RAG, LLM architecture, AI pipelines, caching, and performance optimization.AI EngineeringAI EngineerArtificial IntelligenceGenerative AILLMLarge Language ModelsPythonFastAPIRAGRetrieval Augmented GenerationSemantic SearchEmbeddingsVector SearchLLM ApplicationsAI SystemsMachine Learning EngineeringBackend EngineeringProduction AIAI ArchitectureSoftware Engineering

Build one real AI system end to end, from raw job postings to a deployed, tested API, and learn production AI engineering on the way. 24 chapters, runnable code, and numbers you can reproduce.

Build 10 Exciting Games and Explore Professional Game Development with PythonLearn game development through 10 hands-on projects—from Pong, Breakout, and Platformers to RPGs and multiplayer games—while exploring game mechanics, AI, networking, testing, optimization, Git, and real-world development practices.

Behind every breakthrough in Generative AI isn't magic—it's mathematics."​Ever wondered what actually happens inside a Large Language Model when it generates the next token? Beyond the hype and high-level API calls lies an elegant foundation of probability, vector geometry, and linear algebra.​In The Mathematics of Generative AI, Ahmed Adawy strips away the academic jargon to reveal the exact core equations driving modern LLMs. From conditional probability and high-dimensional embeddings to Query-Key-Value attention mechanisms, this capsule equips software engineers and AI practitioners with the intuition needed to build, debug, and innovate with confidence.​Stop treating AI like a black box. Master the equations beneath the intelligence.

Build a fully functional semantic search engine from first principles using pure Python and NumPy—no heavy AI frameworks, no vector databases, just pure intuition and mathematics.

Whether you're writing your first line of code or building professional applications, this book takes you from the fundamentals to real world Python development. Learn the skills, tools and best practices used by experienced developers to write clean, reliable and scalable code with confidence.

Build applications including a Password Strength Checker, SQL Injection Simulation & Prevention Lab, Secure Login System using Password Hashing, Steganography Image Encoder/Decoder, and an educational Keyboard Activity Monitoring demonstrationMaster technologies including Python, Hashlib, SQLite, Cryptography, OpenCV, Pillow, and secure database programming.

Build real-world software including a Library Management System, Student Record System, Online Quiz Platform with Leaderboard, Inventory Management System, Hospital Management System, and Contact Book with Advanced SearchLearn professional concepts such as database design, SQL queries, CRUD operations, NoSQL development, authentication, reporting, search optimization, and secure data management

Learn how to containerize applications with Docker, automate deployments using GitHub Actions, deploy Python applications to the cloud, integrate AWS S3, monitor applications with the ELK Stack, and build Slack bots for deployment notifications.Master industry-standard tools including Docker, GitHub Actions, AWS, Heroku, Elasticsearch, Logstash, Kibana, Slack APIs, Flask, and Python

Create real-world applications including a To-Do List Manager, BMI Calculator, Expense Manager, Quiz System, File Encryption Tool, Socket-Based Chat Application, Text Editor, and Password-Protected Personal Diary event-driven programming, GUI design, file management, encryption, socket programming, SQLite integration, authentication, and application security through practical, step-by-step project

Create applications such as a PDF Merger Tool, Bulk Email Sender, Folder Organizer, WhatsApp Message Scheduler, Expense Tracker, News Headline Web Scraper, YouTube Video Downloader, and educational automation demonstrations while learning modern Python scripting techniques.Discover how to use powerful Python libraries including PyPDF2, Pandas, BeautifulSoup, Requests, pywhatkit, CSV,

Build intelligent systems including Iris Flower Classification, Handwritten Digit Recognition, Spam Email Detection, Face Recognition Attendance Systems, House Price Prediction, Loan Eligibility Prediction, Customer Segmentation using K-Means, and Object Detection with YOLO.Master powerful tools such as Scikit-learn, TensorFlow, Keras, OpenCV, YOLO, NumPy, Pandas, and Matplotlib

Build complete, real-world projects including COVID-19 Data Analysis, Sales Forecasting, Movie Recommendation Systems, Customer Churn Prediction, Stock Price Prediction using LSTM, Twitter Sentiment Analysis, Credit Card Fraud Detection, and Interactive Dashboards with Streamlit.Learn industry-standard tools such as Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Plotly, and Streamlit