#c_lang#embedded#filesystem#microcontroller
LittleFS is a file system designed for small devices like microcontrollers. It helps keep your data safe even if the power goes off suddenly. This is because it uses a "copy-on-write" system, which means it doesn't overwrite old data until the new data is safely stored. LittleFS also helps extend the life of your storage by spreading out writes across different areas, a process called wear leveling. This makes it very reliable and efficient for devices with limited memory and storage.
https://github.com/littlefs-project/littlefs
🆕Если ты хочешь получить востребованную IT-профессию, приходи к нам учиться! Открыта регистрация на курс QA School: embedded!
🔔Занятия стартуют уже в сентябре! Подробно разберемся в общей теории и практике тестирования, изучим особенности работы с IoT-устройствами, а также поговорим о направлениях профессионального развития QA-инженера.
Что будет:
✅Занятия онлайн на русском языке раз в неделю.
✅Курс длится 1 семестр и завершится в декабре 2022 года.
✅Навыки Junior QA-инженера.
✅Сертификат Ученого центра DSR Corporation.
✅Возможность получить приглашение на работу в международную компанию.
❗️Важно! Курс бесплатный. Но есть входное тестирование.
❗️Необходим английский уровня Pre-Intermediate или выше для работы с технической документацией.
Подать заявку на QA School: embedded можно тут.
#DSRCorporation#DSR_courses#IoT#Embedded#QA
#cplusplus#arduino#cansat#csv#embedded#graph#ground_station#iot#microcontroller#network#projects#qt#serial#serial_studio
Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5].
https://github.com/Serial-Studio/Serial-Studio
💥 Онлайн-презентация курсов .NET School и Embedded Systems Lab
Приглашаем всех зарегистрировавшихся на онлайн-презентацию бесплатного курса .NET School по бэкенд-разработке . Ссылка уже выслана вам на почту, указанную при регистрации. Напоминаем, что у всех желающих бесплатно получить набор навыков Junior Back-End Developer еще есть возможность попасть на курс.
➡️Регистрация.
✅ Занятия онлайн.
✅ Первая лекция — 2-го октября.
⚠️ Вступительный экзамен отсутствует.
💻 Онлайн-презентация пройдет сегодня, 🗓 26-го сентября, в 🕡 18:30 МСК.
В 2011-м году DSR и ФКН ВГУ создали центр обучения программированию для встроенных систем. Если вы знаете основы языка C, то будем рады видеть вас в нашей "Embedded Systems Lab", где вы научитесь программировать микроконтроллеры и беспроводные IoT-устройства, изучите стандарты Bluetooth-сетей.
💻 Онлайн-презентация курса состоится в пятницу, 🗓 29-го сентября, в 🕠 17:30 МСК. Ссылка уже пришла вам на почту, если вы зарегистрировались на курс.
➡️Регистрация.
✅ Занятия онлайн.
✅ Вступительное тестирование - 2-го октября.
✅ Первая лекция — 13-го октября.
‼️ PS. Если вы зарегистрировались на курс, но не получили приглашение на презентацию, пришлите письмо на [email protected] с темой "название курса" и адресом почты, указанной при регистрации, в теле письма.
#net#backend#iot#embedded#dsr_training_center#DSR_career#DSRCorporation
Surge Raises $500K Funding
Surge has successfully raised $500K in funding as of December 4, 2024. The platform specializes in providing embedded text messaging services, allowing businesses to simplify their communication and focus on their core operations. Learn more at: Surge
#Funding#Messaging#Surge#Texting#Tech#Business#Communication#Embedded#Startup#Investment
#c_lang#jq
jq is a lightweight command-line tool like sed, awk, or grep, but for processing JSON data. It lets you easily slice, filter, map, and transform structured data with zero runtime dependencies. Install via prebuilt binaries from GitHub releases, Docker (e.g., `docker run --rm -i ghcr.io/jqlang/jq:latest < package.json '.version'` to extract version), or build from source. This saves you time handling JSON in scripts, APIs, or files efficiently without heavy software.
https://github.com/jqlang/jq
#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network
Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance.
https://github.com/PaddlePaddle/Paddle-Lite
#rust#bigdata#cloud_native#distributed_systems#filesystem#minio#object_storage#oss#rust#s3
RustFS is a fast and safe distributed object storage system built with Rust, offering high performance and scalability for large data needs like AI and big data. It is compatible with S3, easy to use, and open source under the business-friendly Apache 2.0 license. Compared to others like MinIO, RustFS provides better memory safety, no risky data logging, and supports local cloud providers. You can quickly install it via a script or Docker, manage storage through a simple web console, and benefit from a strong community and detailed documentation. This makes RustFS a reliable, cost-effective choice for secure, scalable storage.
https://github.com/rustfs/rustfs
#verilog#cocotb#embedded#fpga#iss#risc_v#rtl#verilator#verilog#vpn#vproc#wireguard
This project creates an open-source, hardware-based WireGuard VPN using an affordable FPGA board, making fast and secure VPNs more accessible. Unlike slow software VPNs or costly proprietary hardware, this FPGA design runs WireGuard encryption and packet processing at near wire speed without needing a PC host. It uses common tools and languages (SystemVerilog, open-source FPGA tools) and includes a soft CPU for control tasks and hardware logic for data encryption and routing. This means you get a faster, more efficient, and customizable VPN solution that is open and affordable, ideal for learning, development, or deployment in cost-sensitive environments.
https://github.com/chili-chips-ba/wireguard-fpga
#cplusplus#cpp#hacktoberfest#iot#iot_device#iot_edge#microcontroller#microsoft_for_beginners#python#raspberry_pi#rpi
You can learn the basics of the Internet of Things (IoT) through a free 12-week course with 24 lessons that guide you step-by-step in building real projects like plant monitoring, vehicle tracking, and smart cooking timers. Each lesson includes quizzes, instructions, challenges, and solutions to help you understand sensors, cloud connections, security, and AI on devices. The course uses real hardware or virtual options, making it easy to practice hands-on skills. This project-based learning helps you gain practical IoT knowledge useful for many industries, improving your tech skills and job readiness.
https://github.com/microsoft/IoT-For-Beginners
#c_lang#drone#esp32#quadcopter
ESP-Drone is an open-source project using ESP32 chips to build a simple Wi-Fi drone you control with a phone app or gamepad. It offers stabilize, height-hold, and position-hold modes (with extensions), plus clear code for STEAM education, based on Crazyflie firmware. You benefit by easily making a cheap ($30-50), lightweight drone in 6-8 hours for fun indoor flights, learning electronics like sensors and motors, and customizing with open code—no extra radio needed.
https://github.com/espressif/esp-drone
#python#ai#context#embedded#faiss#knowledge_base#knowledge_graph#llm#machine_learning#memory#nlp#offline_first#opencv#python#rag#retrieval_augmented_generation#semantic_search#vector_database#video_processing
Memvid lets you store millions of text pieces inside a single MP4 video file using QR codes, making your data 50-100 times smaller than usual databases. You can search this video instantly in under 100 milliseconds without needing servers or internet after setup. It works offline, is easy to use with simple Python code, and supports PDFs and chat with your data. The upcoming version 2 will add features like continuous memory updates, shareable capsules, fast local caching, and better video compression, making your AI memory smarter, faster, and more flexible. This means you get a powerful, portable, and efficient way to manage and search huge knowledge bases quickly and easily.
https://github.com/Olow304/memvid