
Explore how MicroPython and ESP32 MCUs can create innovative Industry 4.0 logistics solutions, focusing on a forklift hailing application. Learn about prototyping, deployment, and live demonstration.

Learn to build an ultra-cheap plotter using a Raspberry Pi Zero, servo motors, and everyday materials. Explore Python-driven robotics with minimal resources and skills, ideal for education and introducing young people to programming.

Learn to build practical machine learning models for audio classification using spectrograms, CNNs, and techniques like transfer learning and data augmentation with Keras and TensorFlow.

Explore IoTPy for building concurrent, non-terminating streaming applications in Python, leveraging existing libraries for data analysis and distributed systems.

Explore interactive mapmaking using Python and GeoDataframes. Learn to create visually appealing maps with libraries like Folium, Kepler.gl, and Plotly, and discover Geopatra for simplified geodata visualization.

Explore wildfire simulation in Yosemite using GRASS GIS and Python libraries. Learn to obtain geospatial data, model fire behavior, and create interactive maps with Google Earth Engine and Jupyter Notebook.

Explore DIY home automation using microcontrollers and CircuitPython. Learn key concepts, use emulators, and see real projects like a robot cleaner and plant monitoring system.

Explore electrocardiography, from heart basics to building an ECG with Arduino. Learn data analysis and machine learning techniques for heart data interpretation.

Learn to predict urban heat islands using satellite imagery and geospatial Python libraries. Explore spatial regression methods, data processing, and visualization techniques for sustainable urban planning.

Learn to create interactive web maps using Django's GeoDjango module, from simple Spatialite-based maps to complex PostGIS-powered solutions, without relying on external services.

Explore geospatial Python libraries for Multi-Criteria Decision making, including imagery dataset processing, overlay analysis, and zonal statistics. Learn to create intuitive geo-visualization portals using vector tiles.

Comprehensive guide to hardware manufacturing: from PCB design to component selection, assembly, and software integration. Learn from real-world experiences in creating a programmable gamepad for IoT workshops.

Explore digital audio processing in Python using Pedalboard, a powerful library that simplifies audio manipulation, file handling, and plugin integration for musicians and developers alike.

Explore TinyML for deploying machine learning on microcontrollers. Learn about hardware options, frameworks, and real-world applications in agriculture, conservation, health, and ecology monitoring.

Explore vector data cubes: multi-dimensional arrays with vector geometries. Learn about Xvec, a new Python library built on Xarray, Shapely 2.0, and GeoPandas for efficient geospatial data handling.

Explore parallel programming for interactive robot control using Python's async features. Learn from experiences with the Fluffbug robot, addressing challenges and solutions in CircuitPython.

Explore spatial data analysis and interpolation techniques using pyinterpolate for insights on rental prices, pollution mapping, and socio-economic factors at various scales.

Learn to create stunning thematic maps and perform impactful spatial data analysis using Power BI's ArcGIS Maps and MapBox Visual for enhanced data visualization and insights.

Discover the power of spatial analysis using SQL Server, R, and Power BI. Learn to analyze location-based data, make informed decisions, and create compelling visualizations for real-world applications.

Explore embedded switch features in NICs and their management within Linux environments, focusing on current capabilities and future developments.

Exploring Linux's potential in safety-critical systems, discussing reliability, traditional approaches, and the challenges of using open-source software in life-dependent applications.