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+--- Thread: ESP32 MicroPython MQTT Weather Logger (/Thread-ESP32-MicroPython-MQTT-Weather-Logger)
ESP32 MicroPython MQTT Weather Logger - OneDDL - 11-22-2024
![[Image: 5a09c47a21da9a6218cecca0cfc2b272.jpeg]](https://i124.fastpic.org/big/2024/1121/72/5a09c47a21da9a6218cecca0cfc2b272.jpeg)
Free Download ESP32 MicroPython MQTT Weather Logger
Published 11/2024
Created by Educational Engineering Team,Educational Engineering
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 Lectures ( 38m ) | Size: 240 MB
Build an IoT weather station using ESP32, MicroPython, and MQTT: logging, analyzing, and sharing real-time weather data.
What you'll learn
Set up and configure the ESP32 microcontroller for data logging and IoT applications.
Write and execute MicroPython code to interface with environmental sensors.
Establish MQTT protocols for real-time data transmission in IoT networks.
Develop a functional weather logger to collect and log weather data for analysis and sharing.
Requirements
Basic knowledge of Python programming for working with MicroPython.
Familiarity with basic electronics concepts, including resistors and simple sensor connections.
ESP32 microcontroller and weather sensors (such as temperature and humidity) for hands-on practice.
A computer with USB connectivity to code and upload scripts to the ESP32.
Description
Get hands-on with IoT as you build a complete weather logging system from scratch! This course focuses on integrating the ESP32 microcontroller, MicroPython programming, and MQTT protocols to create a versatile weather logger that gathers, logs, and transmits weather data seamlessly.Designed for both IoT enthusiasts and intermediate-level developers, this course will walk you through the essential skills to transform a simple ESP32 module into a fully functional weather monitoring system. We'll cover how to set up sensors, utilize MQTT for data transmission, and leverage MicroPython for efficient data handling. By the end of this course, you'll be able to create your own connected weather logger, capable of sending data to cloud services or local networks.In addition to practical projects, we'll explore troubleshooting techniques, provide guidance on optimizing performance, and explain the best practices for managing MQTT messaging. With over 38 minutes of concise, targeted content, this course is perfect for learners who want to see real results quickly without overwhelming technical jargon.Key Features:Step-by-step guidance on setting up and coding with the ESP32 and MicroPythonPractical lessons on sensor integration and real-time data handlingOverview of MQTT basics and advanced usage for IoT communicationCustomizable weather logger project that can be adapted for other applications"This course was exactly what I needed to understand the ESP32 and MQTT! The hands-on project was incredibly helpful." -[Alex G.]"Concise and to the point. This course gave me the confidence to tackle IoT projects on my own!" -[Sarah K.]Enroll Now to build your IoT weather logger and bring your MicroPython skills to life!What You Will LearnSet up and configure the ESP32 microcontroller for data loggingWrite and deploy MicroPython code to interface with sensorsUse MQTT protocols for real-time data sharing and loggingBuild a weather logger capable of tracking and transmitting weather dataWho Is This Course ForIoT enthusiasts looking to expand their skills in connected devicesIntermediate Python programmers who want to explore MicroPythonEngineers or hobbyists interested in environmental monitoringTech professionals looking to integrate IoT protocols like MQTT into projectsRequirementsBasic knowledge of Python programmingFamiliarity with fundamental electronics (resistors, sensors)Access to an ESP32 microcontroller and basic sensors (temperature, humidity)Computer with USB for coding and uploading scripts to ESP32
Who this course is for
IoT enthusiasts and hobbyists looking to learn practical skills for connected devices.
Intermediate Python developers interested in applying their knowledge to hardware and IoT.
Engineers or DIYers with a passion for environmental monitoring and data logging.
Professionals seeking to understand and implement MQTT protocols for real-time IoT applications.
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