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📘 Maker Innovations | 32-Book Series Paperback Edition 🛒 Get Your Copy on Amazon: amzn.to/4dFObe2 🚀 Beginning STM32: Developing Advanced Embedded Applications Beyond Arduino Ready to take your embedded systems programming skills to the next level? Discover how to harness the power of the STM32 microcontroller family using FreeRTOS, libopencm3, and GCC—and move beyond the limitations of the traditional Arduino environment. 🔹 What You’ll Learn: ✅ Set up and use the libopencm3 and FreeRTOS development environment ✅ Initialize peripherals, manage interrupts, and develop multitasking applications ✅ Work with FreeRTOS tasks, queues, and mutexes ✅ Use DMA to drive an SPI-based OLED display with an analog meter ✅ Read RC control PWM signals using hardware timers ✅ Explore USB, CAN bus, RTC, GPIO, and other STM32 peripherals ✅ Expand your code capabilities using external Flash memory ✅ Interface with I²C devices, including the PCF8574 GPIO expander 🎯 Who Is This Book For? This book is ideal for experienced embedded engineers, engineering students, electronics enthusiasts, hobbyists, and makers who want to explore the ARM architecture and develop advanced microcontroller applications beyond Arduino. 📚 With clear explanations, practical examples, and end-of-chapter exercises, Beginning STM32 offers a hands-on introduction to professional embedded development. 💡 Learn ARM. Master STM32. Build Beyond Arduino. #MakerInnovations #BeginningSTM32 #STM32 #EmbeddedSystems #FreeRTOS #ARM #Microcontrollers #Electronics #EmbeddedProgramming #GCC #Arduino #Engineering #IoT #TechBooks
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The AI Revolution in Medicine: link.amazon/B06Q6KneM
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Robot-Proof — When Machines Have all the Answers, Build Better People: link.amazon/B0c8YEFsG
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Angular Projects — Learn Angular by building 10 real-world, enterprise web apps and projects: link.amazon/B0doF4sBY Master a suite of hands-on solutions, AI tools, and production-ready UI and data patterns, then leave with a hiring-ready portfolio that proves job-ready skills!
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100 Exercises for Practicing Python: A set of exercises with different levels of complexity | Beginner - Intermediate - Advanced | Solved exercises for all levels Here: link.amazon/B0c9g4LMd
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The FPGA Programming Handbook: link.amazon/B0b3Yhyh4 𝗧𝗮𝗯𝗹𝗲 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝗻𝘁𝘀: 🔴Introduction to #FPGA Architectures 🔴FPGA Programming Languages and Tools 🔴Combinational Logic 🔴Counting Button Presses 🔴Let's Build a Calculator 🔴FPGA Resources and How to Use Them 🔴Math, Parallelism, and Pipelined Design 🔴Introduction to AXI 🔴Lots of data? MIG and DDR2 🔴A Better Way to Display – VGA 🔴Bringing It All Together 🔴Using the PMOD Connectors – SPI and UART 🔴Embedded Microcontrollers Using the Xilinx MicroBlaze 🔴Advanced Topics
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“The Effect: An Introduction to Research Design and Causality” [2nd edition] is an excellent teaching text about research design, specifically concerning research that uses observational data to make a causal inference: link.amazon/B09IzNjKf
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"Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond" — link.amazon/B0hQdgN3x ————— #AI #ML #MachineLearning #DataScience #DataScientist
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Yes, graphs are everywhere! Link up with this reality! Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 2nd Edition at link.amazon/B0iMMOu7x 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🟠Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library (DGL) 🔵Explore GML frameworks and their main characteristics 🟠Leverage LLMs for machine learning on graphs and learn about temporal learning
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Graph Machine Learning Essentials — Foundations, Hands-On Implementation, Graph Neural Networks, PyTorch Geometric, and Applied Use Cases: link.amazon/B06U0qXFq
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🌟🌟🌟🌟🌟 "Time Series with PyTorch: Modern Deep Learning Toolkit for Real-World Forecasting Challenges", available at link.amazon/B06JjA1BG
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Siri AI Visual Bible — A step-by-step, screenshot-by-screenshot guide to getting things done across your Apple devices: link.amazon/B091XSqf5
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The Claude Certified Architect Study Guide — Prepare for CCAR-F and CCAR-P with production scenarios and architectural judgement: link.amazon/B0iuEiUwz
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Building the Software Factory — Scaling Reliable AI Coding Practices from Individual developers to Teams: link.amazon/B0fWy3VXB
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Deep Learning from Curiosity to Mastery — Volume 1, Foundations of Neural Networks: link.amazon/B0953tV89
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Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP) Get it here: link.amazon/B07HTcXgJ
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Artificial Intelligence for Science — A Deep Learning Revolution: link.amazon/B0bAjzUqx —————— #AI #ML #DataScience #MachineLearning
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Most enterprise strategy requires Design Thinking and an Agile approach to UX: “Think Big, Start Small”, “Start with the End in Mind”, and “Fail Fast to Learn Fast.” 📈🌟🏆🥇 Start with this beautiful "Design Thinking Playbook" at link.amazon/B0fTCLiCA ✨✨✨✨✨
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Mathematics humor… ⤵️ 📕 Get Now: link.amazon/B00WUNWuF
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Power Law Strategy — Why Few Businesses Scale and Millions Don't: link.amazon/B0hl0a1bo
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Model to Meaning — How to interpret Statistical Models with R and Python: link.amazon/B00BkmSwW — Concrete workflows, task-specific software, and detailed case studies, presented using real-world data and code examples.
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