Скачать или смотреть Raspberry Pi 5 + Mathematica, a STEM creativity powerhouse

The RPI5 can now run FREE Mathematica well, the jewel of STEM languages!
See a lot of amazing applications in action, with easy to understand code. See 21st century coding! Learning Mathematica will change your coding life.
Download free extended notebook: https://www.21stcenturycoding.net/not... .
Wolfram Technology Conference 2025 presentation by Em.Prof. Bart ter Haar Romeny
See more instructive videos here: https://www.21stcenturycoding.net and    / @21stcenturycoding  

Timestamps
00:00 Introduction
01:35 How to install Mathematica
01:57 21st century coding - some examples
04:04 Sensor measurements: Temperature, pressure and humidity
06:03 Blush, baby, blush
06:24 Compile for super-fast math art
08:46 Geogebra - a circle through three points
09:42 Neural nets: interactive object detection with camera and Yolo 5
11:08 Complex neural net construction made easy
12:19 Visualize the internal layers of a neural network
13:16 Book: Introduction to Machine Learning by Etienne Bernard
13:48 Computer vision - Smile, Mona Lisa, smile! Face deformation with radial basis functions
15:11 3Blue1Brown animated visualizations with Mathematica
19:04 Graphical User Interface for a weather station
20:01 Physics of collisions: bouncing balls
21:11 Visualization of fluid flow with Navier-Stokes equations
22:57 High accuracy numerics: the remarkable Pisot number
23:29 Parallel computing with Mathematica
25:06 Conclusion

The Raspberry Pi 5, combined with the free Mathematica software, offers STEM students and enthusiasts a powerful and accessible platform for interactive learning, data analysis, and creative project development, capable of handling complex computations and visualizations.

How much does Mathematica cost?
Mathematica is free on every Raspberry Pi [01:17]. It's also free for most university students and all STEM students from high school to PhD [01:20]. For others, it costs $7.35 per month [01:28], which is less than a Netflix subscription.

📚 Practical Applications
• [Sensor Data Integration]: Mathematica can be integrated with Python to read sensor data like temperature, pressure, and humidity from inexpensive sensors (e.g., BME 280) and display the results on an LCD, enabling real-time data analysis and visualization. [04:05]
• [Interactive Algebra]: Mathematica allows for interactive algebra by using sliders to manipulate variables in equations, making it easier to understand and explore mathematical concepts. [03:03]
• [Neural Network Design]: Mathematica simplifies the design and visualization of complex neural networks by allowing users to connect layers and visualize the network's structure, making it easier to understand and experiment with different network architectures. [11:08]
• [Computer Vision Applications]: The Raspberry Pi 5 can be used with Mathematica to perform computer vision tasks such as object detection using a webcam and pre-trained neural networks from the Wolfram Neural Network Repository, enabling real-time image analysis and classification. [09:43]
• 🌟 AHA: [Compiled Functions for Speed]: Compiling functions in Mathematica can dramatically improve performance, as demonstrated by a 43x speed increase in a jellyfish simulation, making computationally intensive tasks feasible on the Raspberry Pi. [07:51]
💡 Breakthrough Ideas
• [21st Century Coding]: Mathematica enables 21st-century coding by allowing users to incorporate images, Greek letters, and interactive elements directly into their code, making it more intuitive and engaging. [02:00]
• [Interactive Visualizations]: Mathematica makes it easy to create interactive visualizations of mathematical concepts, such as maximizing a function on a circle, allowing users to explore and understand these concepts in a dynamic and intuitive way. [15:12]
• [Access to Neural Networks]: The Wolfram Neural Network Repository provides access to 166 fully trained neural networks that can be easily integrated into Mathematica projects, enabling users to quickly experiment with and apply neural networks to various tasks. [10:01]
🔗 Key Connections
• [Python Integration]: Mathematica can seamlessly integrate with Python, allowing users to leverage Python libraries for low-level tasks like sensor reading while using Mathematica for high-level analysis and visualization. [01:41]
• [Hardware Interaction]: The Raspberry Pi 5's GPIO pins, Bluetooth, and USB ports allow it to interact with a wide range of sensors, motors, and other hardware, making it a versatile platform for STEM projects. [00:29]