Gist ff1ced4d425d40e3691b321e08cf06b6

100%

Gist ff1ced4d425d40e3691b321e08cf06b6

✓ Published0🌍 Public

Last edited May 30, 2025

Created on May 29, 2025

This example documents a team investigation into using the Rust programming language for the Raspberry Pi Pico W microcontroller, outlining a migration away from C and Python. The associated image shows `picoRust.md`, a markdown file that structures the research, including a theoretical framework justifying Rust, ten hands-on practices covering compilation and flashing, and notes on toolchains and hardware debugging with OpenOCD. The visualization itself is a plain text file rendered in a browser, showing no code libraries or APIs beyond the markdown syntax and GitHub’s standard interface elements.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist cad8e8eae331f4c1abef424db5879cf2

This example shows a Raspberry Pi Pico W microcontroller consulting an AI model to decide on greenhouse ventilation and displaying the response on an OLED screen. It simulates temperature and humidity sensor readings, sends them via the `urequests` library to OpenAI’s Chat Completions API (GPT-3.5-turbo), and renders the AI’s decision on an SSD1306 OLED display using `ssd1306` and the I2C protocol. The code also uses the `network` module to connect to Wi-Fi, with data refreshed every 15 seconds.

IIoTeacher

61% match

Loading thumbnail…

Gist 2c891272ae6fcbec4f6d2e7de448177a

This example demonstrates a catalog of 45 MicroPython lab exercises for the Raspberry Pi Pico W, covering Bluetooth (BLE and classic HC-05) communication and OLED display control. Each exercise pairs a specific practice—such as BLE scanning, sensor data transmission, or relay control—with recommended Android/iOS apps and the primary lab function. The code references the `bluetooth`, `machine`, and `ssd1306` libraries to manage wireless links and render output on the SSD1306 or SH1106 display. The list is structured as a Markdown table, detailing the Bluetooth type, app, and purpose for each numbered activity.

IIoTeacher

61% match

Loading thumbnail…

Gist 2e1efdd78a9dc100f3529effeac9f685

This visualization documents an IoT and sensor-based academic project. It demonstrates a complete data pipeline where sensor readings are transmitted via MQTT to the Flespi dashboard for real-time monitoring. The example integrates Wokwi circuit simulators, a Raspberry Pi Pico W, and generates UI mockups through Stitch GPT. The repository includes a README with technical architecture details, a Loom video explanation, and a DALL·E-generated cover image. Code is written in Python 3, with sensor data flowing from emulated devices to the cloud dashboard.

IIoTeacher

61% match

Loading thumbnail…

Gist 3db23ae2b492f204b7dbde1886f8224c

This visualization presents a collection of 45 practical exercises for the micro:bit V2, a microcontroller, designed for educational and prototyping purposes. The dataset is a markdown list of activities, each detailing a project that uses sensors for data acquisition and radio communication for transmission. The projects span categories like sports, classroom, environmental science, and STEM, showing how the physical device can be used to graph data. The text shows the projects are intended for graphing events and for creating a radio transmitter between micro:bits to acquire or transmit data, with no code or libraries used in the rendering.

IIoTeacher

60% match

Loading thumbnail…

45 practicas de PicoW

This gallery item showcases a structured curriculum of 45 hands-on exercises for the Raspberry Pi Pico W, organized into four progressive levels: basic GPIO fundamentals, intermediate peripheral protocols, advanced Wi-Fi networking, and expert-level systems programming. The visualization presents a tiered list of practice topics, ranging from LED control and button debounce to I2C sensor reading, UDP telemetry, and assembly language blinking. The content functions as an educational roadmap, with each practice naming specific hardware components and communication protocols like UART, SPI, and PWM. The final section includes a formal grading rubric with point allocations for technical functionality, hardware implementation, code quality, and documentation, demonstrating a complete assessment framework for student projects.

IIoTeacher

59% match

Loading thumbnail…

Gist d577c8303babf06f479a4ba7df562702

This example presents a checklist and rubric for a coding assessment, structured as a Markdown document. It uses GitHub-flavored Markdown syntax with task list items (`- [x]`) to track completion of steps for creating directories, making commits, pushing to GitHub, and building models. The document does not use any JavaScript visualization libraries or data APIs; instead, it relies on static Markdown formatting to display the rubric and checkboxes. It serves as a procedural guide, showing the assessment requirements and the author’s completed checkboxes.

LLelandCurtis

58% match

Loading thumbnail…

Gist 28812206a0e39e26297e4424830da6be

This visualization documents the GPIO header layout of a Raspberry Pi-compatible board, presenting a labeled diagram alongside a technical table. The image identifies each pin’s physical position, electrical type (power, ground, I2C, UART, or general-purpose I/O), and its corresponding BCM numbering scheme. The table details each signal’s function, electrical level (5V, 3.3V logic, or ground), and usage notes, such as suitability for sensors or UART communication. The rendering uses a static schematic diagram with matched annotations, while the table is formatted in Markdown for clarity.

IIoTeacher

58% match

Loading thumbnail…

Gist 5abc1045894890074dba47be30e4c098

This visualization presents a structured classroom activity focused on data confidentiality and professional ethics for TICS students, displayed as a markdown-based instructional document. The example embeds a single high-resolution educational image and details a 50-minute lesson plan with interactive exercises, including role-playing scenarios and decision-making polls. It does not use JavaScript libraries or rendering APIs; instead, it relies on static HTML content and a self-contained markdown file with embedded images to convey the pedagogical workflow. The visual emphasizes clear textual organization and step-by-step guidance rather than dynamic data-driven graphics.

IIoTeacher

58% match