馃摎 Top Books in Tech You Should Read
馃摃 ebokify.com/ai-data-science
Explore some of the most valuable books across key technology fields:
馃捇 Software Engineering
馃 AI & Data Science
馃攼 Security & Hardware
馃寪 Technology & Computer Science
鈽侊笍 DevOps & Cloud Computing
馃殌 Learn. Build. Innovate. Stay Ahead.
#SoftwareEngineering #AI #DataScience #Cybersecurity #Hardware #Technology #DevOps #CloudComputing
Mastering Graphics Programming With Vulkan: Develop a modern rendering engine featuring GPU-driven rendering, advanced lighting, and ray tracing
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link.amazon/B001ssLLm
Simple Circuits Using PIC10F #Microcontrollers
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MicroPython Embedded Systems in Practice: Microcontrollers, Automation, and Connected Devices: Build Practical Applications with GPIO, Sensors, I2C, SPI, UART, IoT, Networking, Real-World Hardware
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Embedded CAN Bus Programming with Arduino: A Practical Guide to CAN Communication, MCP2515 Integration, OBD-II Diagnostics, SAE J1939, and Hands-On Projects
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ESP32 Projects for Beginners 2026: A Step-by-Step Guide to Arduino Programming, Wi-Fi, Bluetooth, Sensors, IoT, and Smart Home Automation
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TinyML Foundations and Applications on Arduino #Microcontrollers with #MATLAB
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RS-485 and Modbus: Industrial Communication with #Microcontrollers: Serial Networks, Modbus RTU, Register Mapping, Error Handling, and Field Troubleshooting (Mastering Computer Science Book 9)
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ESP32-S3 Edge AI COOKBOOK: 50 Smart Home, Vision & Sensor Automations: Copy-Paste C++ & MicroPython Code for TinyML Object Detection, Offline Wake Words & Battery-Powered Sensors
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Teensy 4.1 Programming and Projects: A Hands-On Guide to C++, ARM Cortex-M7, GPIO, ADC, PWM, SPI, I虏C, UART, USB, Ethernet, and High-Performance Microcontroller Development
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Raspberry Pi 5 - Beginner to Professional: A Practical Handbook to Linux, Python Programming, GPIO, Electronics, Networking, and Hands-On Projects for Beginners and Beyond (A-Z Programming)
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Embedded Linux Systems Engineering & Development: A Practical Guide to Bootloaders, Buildroot, Yocto, Kernel Configuration, Device Drivers, and Hardware Integration (THE LINUX ENGINEERING LIBRARY)
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Arduino Programming with Teensy 4.1: A Practical Guide to Embedded C++, #Microcontroller Programming, Hardware Interfacing, Sensors, Communication ... Real-World Projects (Absolute Tech Mastery)
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Raspberry Pi 5 Masterclass: From First Boot to Advanced Projects with Raspberry Pi OS, Linux, Python Programming, GPIO, Camera Modules, Networking, ... and Automation (The Modern Developer)
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Math Letters: Discover a different side of mathematics
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Mathematics is usually divided into a few large families: foundations and logic, algebra, number theory, geometry and topology, analysis, discrete mathematics, and probability and statistics. Applied mathematics draws on all of them.
The divisions are not clean. Algebraic topology studies shapes with group theory, analytic number theory studies primes with complex analysis, and probability is formally built on measure theory. The Mathematics Subject Classification used by journals lists 63 top-level areas.
Any map like this is a choice about grouping rather than a fixed fact. Which branch would you add, or put somewhere else?
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