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Master digital electronics – the hands-on way! This bundle includes the book Learning Digital Electronics, featuring 20+ practical projects in Logic and Circuit design, as well as a 100-piece kit – so you can start building logic circuits, counters, displays, and more right away. Learning Digital Electronics (Book) This book is a practical guide to digital electronics, covering the essential components of modern digital systems: number systems, logic gates, Boolean algebra, combinational and sequential logic, and more. Through more than 20 structured projects, you’ll design and build digital systems using real-world components such as logic gates, multiplexers, decoders, flip-flops, counters, and shift registers. The projects range from basic LED logic circuits to digital locks, display systems, traffic light controllers, and timing-based designs. Selected projects introduce the use of tools such as CircuitVerse for circuit simulation, while several designs make use of 74HC-series logic devices, commonly used in digital hardware prototyping. Inside, you’ll find: Clear coverage of number systems and binary arithmetic Logic gate fundamentals and universal gate implementations Step-by-step projects using flip-flops, counters, and registers Real-world design with 74HC-series logic chips Techniques for designing combinational and sequential systems This book takes a design-first, application-driven approach to digital electronics—built around working circuits, tested logic, and hands-on experimentation. Learning Digital Electronics (Kit) This kit has been specially developed to complement the book "Learning Digital Electronics". Since all necessary components are included, you can complete every practical project in the book directly. Kit contents 2x 74HC08 AND gate chip 2x 74HC00 NAND gate chip 1x 74HC86 XOR gate chip 1x 555 timer chip 1x 74HC161 counter chip 1x 74HC164 shift register 1x CD4511 7-segment decoder 1x CD4027 JK flip-flop 1x BC337 NPN transistor 1x KPS-5161 7-segment common-cathode display 1x Light dependent resistor (LDR) 4x 10 KΩ resistors 8x 1 KΩ resistor 2x 47 KΩ resistors 1x 100 KΩ resistor 4x 2.7 KΩ resistors 1x 5.6 KΩ resistor 1x 150 KΩ resistor 1x 10 μF capacitor 2x 0.01 μF capacitor 2x 100 nF capacitor 8x Small red LED 1x Small green LED 1x Small orange LED 4x Pushbutton switches 1x Active buzzer 1x Battery holder for 3x AA batteries (batteries not included) 1x Breadboard 40x Male-to-male jumper wires (length: 200 mm)

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With 20+ Practical Projects in Logic and Circuit Design This book is a practical guide to digital electronics, covering the essential components of modern digital systems: number systems, logic gates, Boolean algebra, combinational and sequential logic, and more. Through more than 20 structured projects, you’ll design and build digital systems using real-world components such as logic gates, multiplexers, decoders, flip-flops, counters, and shift registers. The projects range from basic LED logic circuits to digital locks, display systems, traffic light controllers, and timing-based designs. Selected projects introduce the use of tools such as CircuitVerse for circuit simulation, while several designs make use of 74HC-series logic devices, commonly used in digital hardware prototyping. Inside, you’ll find: Clear coverage of number systems and binary arithmetic Logic gate fundamentals and universal gate implementations Step-by-step projects using flip-flops, counters, and registers Real-world design with 74HC-series logic chips Techniques for designing combinational and sequential systems This book takes a design-first, application-driven approach to digital electronics—built around working circuits, tested logic, and hands-on experimentation.

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This book is about teaching the Python programming language using the Raspberry Pi 4 computer. The book makes an introduction to Raspberry Pi 4 and then teaches Python with the topics: variables, strings, arrays, matrices, tuples, lists, dictionaries, user functions, flow of control, printing, keyboard input, graphics, GUI, object oriented programming and many more topics. The book is aimed for beginners, students, practising engineers, hobbyists, and for anyone else who may want to learn to program in Python. The book includes many example programs and case studies. All the example programs and case studies have been tested fully by the author and are all working. The example programs aim to teach the various programming concepts of Python. The case studies cover the use of Python in the analysis and design of electronic circuits. Some of the case study topics are: Resistor colour code identification Resistive potential divider circuits Resistive attenuator design Zener diode voltage regulator design RC and RLC transient circuits Circuit frequency response Saving data on external memory stick Mesh and node circuit analysis using matrices Resonance in RLC circuits Transistor Biasing analysis Transistor amplifier design Design of active filters Interfacing hardware with GPIO, I²C and SPI Using Wi-Fi with Python and TCP/IP and UDP programs Using Bluetooth from Python Full program listings of all the programs used in the book are available at the Elektor website of the book. Readers should be able just to copy and use these programs in their Raspberry Pi projects without any modifications.

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With 20+ Practical Projects in Logic and Circuit Design This book is a practical guide to digital electronics, covering the essential components of modern digital systems: number systems, logic gates, Boolean algebra, combinational and sequential logic, and more. Through more than 20 structured projects, you’ll design and build digital systems using real-world components such as logic gates, multiplexers, decoders, flip-flops, counters, and shift registers. The projects range from basic LED logic circuits to digital locks, display systems, traffic light controllers, and timing-based designs. Selected projects introduce the use of tools such as CircuitVerse for circuit simulation, while several designs make use of 74HC-series logic devices, commonly used in digital hardware prototyping. Inside, you’ll find: Clear coverage of number systems and binary arithmetic Logic gate fundamentals and universal gate implementations Step-by-step projects using flip-flops, counters, and registers Real-world design with 74HC-series logic chips Techniques for designing combinational and sequential systems This book takes a design-first, application-driven approach to digital electronics—built around working circuits, tested logic, and hands-on experimentation.

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This hands-on bundle lets you build real Edge AI applications with the Raspberry Pi Raspberry Pi AI HAT+ (13 TOPS) The Raspberry Pi AI HAT+ (13 TOPS) is an expansion board designed for the Raspberry Pi 5, featuring an integrated Hailo AI accelerator. This add-on offers a cost-effective, efficient, and accessible approach to incorporating high-performance AI capabilities, with applications spanning process control, security, home automation, and robotics. The AI HAT+ connects via the Raspberry Pi 5’s PCIe Gen3 interface. When the Raspberry Pi 5 is running a current version of the Raspberry Pi OS, it automatically detects the onboard Hailo accelerator, making the neural processing unit (NPU) available for AI tasks. Additionally, the rpicam-apps camera applications included in Raspberry Pi OS seamlessly support the AI module, automatically using the NPU for compatible post-processing functions. Raspberry Pi Camera Module 3 Raspberry Pi Camera Module 3 is a compact camera from Raspberry Pi. It offers an IMX708 12-megapixel sensor with HDR, and features phase detection autofocus. Camera Module 3 is available in standard and wide-angle variants, both of which are available with or without an infrared cut filter. Camera Module 3 can be used to take full HD video as well as stills photographs, and features an HDR mode up to 3 megapixels. Its operation is fully supported by the libcamera library, including Camera Module 3’s rapid autofocus feature: this makes it easy for beginners to use, while offering plenty for advanced users. Camera Module 3 is compatible with all Raspberry Pi computers. Book: Edge AI Made Practical – AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. This bundle contains: Book: Edge AI Made Practical Raspberry Pi AI HAT+ (13 TOPS) Raspberry Pi Camera Module 3 Active Cooler for Raspberry Pi 5 FPC Display Cable for Raspberry Pi 5 (200 mm) Elektor Component Kit 40-pin GPIO Header Traffic Light Module LED red 5 V with built-in resistor LED yellow 5 V with built-in resistor LED green 5 V with built-in resistor LED blue 5 V with built-in resistor Breadboard (400 Tie-points) 10 Dupont wires male-female DHT22 sensor module Servo motor Required Raspberry Pi 5

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Most people are increasingly confronted with the applications of Artificial Intelligence (AI). Music or video ratings, navigation systems, shopping advice, etc. are based on methods that can be attributed to this field. The term Artificial Intelligence was coined in 1956 at an international conference known as the Dartmouth Summer Research Project. One basic approach was to model the functioning of the human brain and to construct advanced computer systems based on this. Soon it should be clear how the human mind works. Transferring it to a machine was considered only a small step. This notion proved to be a bit too optimistic. Nevertheless, the progress of modern AI, or rather its subspecialty called Machine Learning (ML), can no longer be denied. In this book, several different systems will be used to get to know the methods of machine learning in more detail. In addition to the PC, both the Raspberry Pi and the Maixduino will demonstrate their capabilities in the individual projects. In addition to applications such as object and facial recognition, practical systems such as bottle detectors, person counters, or a “talking eye” will also be created. The latter is capable of acoustically describing objects or faces that are detected automatically. For example, if a vehicle is in the field of view of the connected camera, the information 'I see a car!' is output via electronically generated speech. Such devices are highly interesting examples of how, for example, blind or severely visually impaired people can also benefit from AI systems.

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