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Total Size:
1.4 MB
Info Hash:
9A0B8A2AB33472FAED85A6AB1D05C1A5D1C78A6F
Added By:
Added:
Aug. 19, 2025, 11:30 a.m.
Stats:
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(Last updated: Aug. 19, 2025, 11:35 a.m.)
| File | Size |
|---|---|
| Chen S. Python for Arduino. Create, Code, and Control Electronic Projects 2025.pdf | 1.4 MB |
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16.5 MB
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| Uploaded by indexFroggy | Size 16.5 MB | Health [ 42 /3 ] | Added 2023-07-01 |
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| Uploaded by indexFroggy | Size 13.3 MB | Health [ 20 /3 ] | Added 2024-09-14 |
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4.9 GB
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| Uploaded by Cristie | Size 4.9 GB | Health [ 215 /252 ] | Added 2023-06-02 |
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| Uploaded by indexFroggy | Size 19.5 MB | Health [ 37 /2 ] | Added 2023-07-02 |
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| Uploaded by indexFroggy | Size 18.9 MB | Health [ 24 /3 ] | Added 2024-12-28 |
NOTE
SOURCE: Chen S. Python for Arduino. Create, Code, and Control Electronic Projects 2025
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COVER
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MEDIAINFO
Textbook in PDF format Master Python-Arduino integration with hands-on projects, real-time data processing, and IoT connectivity. This practical guide teaches you to combine Python's powerful libraries with Arduino hardware to create intelligent electronic projects from sensor monitoring to machine learning applications. Key Features Complete Integration Guide - Seamlessly connect Python programming with Arduino hardware for embedded systems development 15+ Real-World Projects - Build LED controls, home automation, weather stations, and AI-powered robotics Data Visualization Mastery - Create dashboards and analytics using Matplotlib, Plotly, and Pandas IoT and Cloud Connectivity - Implement web servers, cloud integration, and remote control interfaces Machine Learning Integration - Apply AI algorithms using Python's scikit-learn and TensorFlow Professional Development - Learn debugging, optimization, and commercial-grade best practices Book Description Python for Arduino teaches you to create sophisticated electronic projects by combining Python's extensive libraries with Arduino's real-time capabilities. This hands-on guide covers everything from basic serial communication to advanced IoT applications and machine learning integration. You'll master essential Python libraries including PySerial, Matplotlib, Flask, and scikit-learn while building practical projects like sensor monitoring systems, interactive dashboards, and intelligent automation. Advanced chapters cover computer vision robotics, predictive maintenance, and cloud-connected IoT devices. Each project includes complete source code, wiring diagrams, and professional development practices. By the end, you'll confidently design complex electronic systems that leverage Python's computational power with Arduino's hardware control
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