👩‍💻 Modern C Development Environment

This article offers a detailed walkthrough on establishing a modern development environment tailored for C/C++ projects utilizing Docker containers. It addresses challenges in setting up environments from scratch and provides solutions for efficient development workflows.

What You Will Learn:
➡️ Setting up 👩‍💻 Docker containers for C/C++ development.
➡️ Integrating 👩‍💻 Visual Studio Code with Docker containers.
➡️ Establishing build systems and performing code formatting/static analysis using clang tools.
➡️ Implementing unit testing with Unity and Ceedling.
➡️ Configuring 😹 GitHub workflows for continuous integration.

The step-by-step guide empowers developers to establish robust development environments, enhancing productivity and code quality in your projects.

Finally, the article equips readers with a practical resource — a special repository containing the components discussed in the article. With its help, developers can explore and implement the concepts presented in the text effectively.

More information:
🔗 The main article
😹 The GitHub repository

#projects #articles #software #tools

🪪 NanoS3 - The Smallest ESP32 development board (Open-Source)

Meet NanoS3, the epitome of compact power in the world of development boards. At a mere 28 x 11mm, this ESP32-S3 module redefines versatility and performance, packing a punch with its dual 32-bit Xtensa LX7 cores running at up to 240MHz, complemented by a RISC-V Ultra Low Power Co-processor.

Features of the board:
➡️ Dual 32bit Xtensa LX7 cores @ up to 240MHz
➡️ RISC-V Ultra Low Power Co-processor
➡️ 2.4GHz WiFi - 802.11b/g/n & BLE 5.0
➡️ 8MB QSPI Flash
➡️ 8MB of extra QSPI PSRAM
➡️ ULTRA LOW Deep Sleep Current
➡️ Native USB + USB Serial JTAG
➡️ 27 GPIO

With a UF2 bootloader and pre-installed CircuitPython, firmware updates are hassle-free. Whether you prefer MicroPython, ESP-IDF, or Arduino IDE, NanoS3 supports your preferred programming environment.

Explore the special repository, offering 3D STEP files, KiCAD symbols and footprints, reference designs, schematics, and pinout cards. NanoS3 empowers makers, innovators, and enthusiasts to dream big in a compact footprint.

More information:
🔗 The official website
😹 The GitHub repository

#boards #esp32

🔃 CppUTest – unit testing and mocking framework for C/C++

CppUTest is a popular unit testing framework primarily used for Test-Driven Development (TDD) in C and C++ projects. It's specifically designed for embedded and resource-constrained systems, but it's also suitable for general software development.

CppUTest offers various features:
➡️ Support for setting up and tearing down test fixtures, allowing for the isolation of tests and the management of test environments.
➡️ Offers a wide range of assertion macros for validating expected behavior and outcomes in tests.
➡️ Capability for creating mock objects and mock-based tests.
➡️ Provides with a test runner utility for executing test cases and reporting test results.
➡️ Integration with popular build systems like CMake and Make.

In summary, CppUTest gives teams an opportunity to unlock the potential for streamlined development workflows and heightened code reliability.

More information:
🔗 The project's page
😹 The GitHub repository

#libraries #programming

🧠 BitNetMCU - Implement neural networks even on the cheapest microchips!

BitNetMCU presents an exciting journey into the fusion of machine learning and embedded systems, offering valuable insights into the implementation of neural networks even on the most modest piece of hardware.

Features of the project:
➡️Utilizes quantization aware training and fine-tuning techniques to achieve over 99% accuracy on tasks like MNIST.
➡️Operates efficiently within strict memory constraints, with algorithms designed to run on any microcontroller.
➡️Employs a 🐍 PyTorch-based training pipeline for versatility and ease of use.
➡️Implements an 👩‍💻 Ansi-C inference engine for seamless portability across different microcontroller platforms.

To sum up, this project provides a gateway to deeper understanding in electronics, AI, and machine learning, empowering individuals to create innovative solutions for real-world challenges in IoT, edge computing, and beyond.

More information:
🔗 The main article
😹 The GitHub repository

#projects #libraries #artificial_intelligence #machine_learning

🪪 M4 Chip by Apple: Redefining AI Performance

This week Apple has unveiled their new M4 chip. This event signifies a significant advancement in semiconductor design, particularly in the realm of AI-centric processing.

Features of the chip include:
➡️Utilizes cutting-edge 3-nanometer architecture
➡️Boasts a formidable 10-core GPU
➡️Processes 38 trillion operations per second
➡️50% increase in CPU performance compared to the M2
➡️23% improvement over the M2 in machine learning tasks

Benchmark scores exceeding 3,800 points position the M4 ahead of Intel's Core i9-14900KS, marking a substantial leap forward in computing prowess. With its innovative features, the M4 chip has the potential to reshape computing norms and steer the course of AI integration across various platforms and contexts.

⛓ More information...

#news

🤖 XGO-Rider – The Next Frontier in Self-Balancing Robotics

XGO-Rider is a cutting-edge 2-wheel self-balancing robot designed for versatility and innovation. This robot features an ESP32 controller and allows users to choose between either a Raspberry Pi CM4 or a BBC Micro:bit for control.

Features of the robot:
➡️Dual-wheel self-balancing design
➡️ESP32 controller for precise motor and servo control
➡️Choice between Raspberry Pi CM4 or BBC Micro:bit for versatile programming options
➡️High-resolution camera for advanced visual capabilities
➡️Intuitive audio system for immersive interaction
➡️Lightweight and durable construction for effortless mobility

The products such as these are the future of personal robotics, offering a blend of cutting-edge technology and user-friendly features.

⛓ More information...

#robots

🇳🇱 Electronics emoji pack is now out!

Great news for all subscribers and electronics makers. In the new emoji pack you will find emojis of the most typical electric elements, well-known devices, tools and the major companies producing microcontrollers and chips.

Example of the emojis:

🫸🎛🕹🎹🔌
🪛🕹💡📺🏍
🪛🍞🎚🧊👉
📟⏲♾🍓🦋

At the moment the pack contains 35+ emojis but soon it will gain a lot more different elements so stay tuned and add the pack to your library if you like it!

✈️ Add the emoji pack

#news

🌊 Thermal Imaging Camera Module by Waveshare

The Waveshare has launched a new module which offers impressive high-resolution thermal imaging capabilities. The module comes in two options: a Raspberry Pi HAT model and a USB-C model.

Features of the module:
➡️80x62 resolution
➡️Dual FOV options: 45° or 90°
➡️Shutterless design, up to 25 FPS
➡️Applications: IR thermometers, industrial temperature control, security, etc.
➡️Temperature range: -20 to 400°C, accuracy of ±2°C

The camera communicates with Raspberry Pi through I2C and SPI connections, with software support available for Windows, Android, Raspberry Pi, and other Linux systems.

⛓ More information...

#news #camera