Books

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.

Interessiert an Node-RED und Modbus? Dieses Buch ist für Sie. Wir behandeln das Node-Red-Contrib-Modbus-Paket, die Verwendung des Modbus-Protokolls in Node-RED und sogar zukünftige Pakete wie Node-Red-Contrib-Modbus-Flex-Server. Eine Pflichtlektüre für Node-RED-Enthusiasten!

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

Build portfolio-worthy web applications using Flask, Django, REST APIs, databases, Git, GitHub, authentication systems, third-party APIs, and professional development workflows.From your very first project to complete web applications like an E-commerce System, Job Portal, Resume Builder, Weather App, Blog CMS, and File Sharing Platform, every chapter

A bumblebee circles the immortal flame of a warrior-mother, offering love as quiet surrender rather than claim. In twilight’s garden of jasmine and anklets, devotion learns to release what it most treasures. Let the echoes of pure, selfless passion linger long after the final chime fades.

Free, code-first Solidity guide - 13 chapters from fundamentals to DeFi, security, gas optimization, and production testing with Foundry.

Your pilot went well. That was never the question. In a regulated industry, an AI system is acceptable only when it can prove what it did: which source it used, what stopped it acting, why it decided as it did eleven months ago. A field guide for the executives who have to sign.