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NUCLEO-L073RZ

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Supplier Product Code:
NUCLEO-L073RZ
SKU:MP01274
Stock:
4
710,93 ₺ + KDV
853,11 ₺

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Installment Options

Opportunities up to 12 Installments

The NUCLEO-L073RZ is a development board that features an STM32F410RB microcontroller within the STM32 Nucleo-64 family. This board is designed to provide a flexible platform for users to experiment with new ideas, prototype various performance, power consumption, and feature combinations available across the STM32 microcontroller lines.

Here are some key features of the NUCLEO-L073RZ board:

  • STM32F410RB Microcontroller: The board is based on the STM32F410RB microcontroller, which features powerful performance, different power consumption modes, and a variety of features.

  • Arduino Compatibility: It offers Arduino connector support, making it easy to connect and use a wide range of Arduino-compatible shields with the board.

  • ST Morpho Headers: The ST Morpho headers provide easy access to the full range of STM32 peripherals, allowing you to expand the functionality of the Nucleo platform with a variety of custom shields.

  • Integrated Debugger and Programmer: The board integrates the ST-LINK/V2-1 debugger and programmer, eliminating the need for an external probe. This feature simplifies the debugging and programming of the microcontroller.

  • Flexible Power Supply: The board can be powered through USB VBUS or external sources (3.3V, 5V, 7-12V), providing versatile power management options.

  • User LEDs and Buttons: It includes user LEDs (LD1) and buttons (User and Reset) for user interaction and feedback.

  • USB Communication: The board features USB communication for features like virtual COM ports, storage, and debug connections.

  • Support for Multiple IDEs: It is supported by various Integrated Development Environments (IDEs) such as IAR, Keil, GCC-based IDEs, and more.

  • Access to Comprehensive Software Resources: The board comes with a range of software example packages and provides direct access to STM32's extensive HAL (Hardware Abstraction Layer) library and online resources through mbed.

  • Weight: 0,076657 Kg
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