Secret revealed: Arduino programming language definition | Test & Advice

  • Beginning C for Arduino, Second Edition: Learn C Programming for the Arduino
    Springer
  • Become an Awesome Software Architect: Book 1: Foundation 2019
  • C++ for Beginners: step-by-step guide to C++ programming from basics to advanced
  • C#: Advanced Features and Programming Techniques (Step-by-Step C# Book 3)
    2.99 $
  • Teach Yourself Programming The Guide to Programming & Coding Like a Professional
    2.99 $
  • Learn Programming by Coding Like a Professional: Create Games, Apps, & Programs
    4.99 $
  • SparkFun ESP8266 Thing Starter Kit for Internet of Things WiFi Development Includes headers jumper wires breadboard Serial breakout Mico-B USB Cable and LEDs Use to Start a Project or Learn IoT
    Beginner kit for wireless ESP8266 Thing. Program on Arduino IDE platform or Espressif IDF platform All module pins broken out for ease of use 802.11 b/g/n Wi-Fi Direct (P2P), soft-AP Integrated TCP/IP protocol stack Integrated low power 32-bit CPU could be used as application processor On-board LiPo charger/power supply No need to come up with a power solution
    24.95 $
  • Arduino Nano 33 BLE with Headers [ABX00034]
    Designed for short range BT interactions and power savvy projects. Small (48mm x 18mm) and robust board is built around the NINA B306 module, based on Nordic nRF 52840 and containing a powerful Cortex M4F. The board’s architecture is fully compatible with Arduino IDE Online and Offline; it has a 9 axis Inertial Measurement Unit (IMU) and a reduced power consumption compared to other same size boards. Clock 64MHz, Flask 1MB, RAM 256KB. Two 15 pin connectors - one on each side of the board.
    25.00 $
  • AngularJS Programming shirt for Javascript developers
    Heart Beat style shirt for those who love Angular JS Lightweight, Classic fit, Double-needle sleeve and bottom hem
    16.99 $
  • FriendlyElec NanoPC-T4 Rockchip RK3399 Single Board Computer Support Android 8.1 and Lubuntu 16.04 for AI Applications and Machine Learning
    It has 4GB LPDDR3 RAM, 16GB eMMC flash, onboard 2.4G & 5G dual-band WiFi module and a full standard M.2 PCle interface which supports an NVME SSD high-speed hard drive. The NanoPC-T4 supports GPU and VPU acceleration and works with Android 8.1 and Lubuntu Desktop. The NanoPC-T4 has a MIPI-CSI dual camera interface, a MIPI-DSI and an eDP display interfaces, and an HDMI 2.0 interface. It hasType-C/DP, USB 3.0, USB2.0, MicroSD, Gbps Ethernet port, 3.5mm audio jack, infrared receiver, AD input, serial debug interface and a 40Pin RPi compatible connector. The RK3399 SoC has an internal Mali-T860 GPU which has powerful capabilities of processing 3D and HD H.265/H2.64 video streams. It supports dual camera inputs, dual ISP interface capable of doing image processing up to 800MPix/s. The NanoPC-T4is a perfect platfarm for AI and deep learning applications. It can be widely used in advertisement machines, game machines, video conference applications, survillance systems, clusters, VR/AR applications, machine vision applicationsand etc.
    156.99 $

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