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The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

Raspberry Pi Imager is the quick and easy way to install Raspberry Pi OS and other operating systems to a microSD card, ready to use with your Raspberry Pi. Watch our 45-second video to learn how to install an operating system using Raspberry Pi Imager. Download and install Raspberry Pi Imager to a computer with an SD card reader. Put the SD card you'll use with your Raspberry Pi into the reader and run Raspberry Pi Imager. Browse a range of operating systems provided by Raspberry Pi and by other organisations, and download them to install manually.

No need to change your code or the way you build it. Profiling for applications running on more than one server and multiple processes. Clear views of bottlenecks in I/O, in computing, in a thread, or in multi-process activity. Deep insight into actual processor instruction types that affect your performance. View memory usage over time to discover high watermarks and changes across the complete memory footprint. Arm MAP is a unique scalable low-overhead profiler, available standalone or as part of the Arm Forge debug and profile suite. It helps server and HPC code developers to accelerate their software by revealing the causes of slow performance. It is used from multicore Linux workstations through to supercomputers. You can profile realistic test cases that you care most about with typically under 5% runtime overhead. The interactive user interface is clear and intuitive, designed for developers and computational scientists.

The MQX real-time operating system (RTOS) provides real-time performance within a small, configurable footprint. The RTOS is tightly integrated with 32-bit MCUs and MPUs from NXP and is provided with commonly used device drivers. The MQX RTOS is designed to have a modern, component-based microkernel architecture allowing for customization by feature, size, and speed by selecting the components engineers wish to include while meeting the tight memory constraints of embedded systems. The MQX RTOS can be configured to take as little as 8 KB of ROM and 2.5K RAM on Arm Cortex M4, including kernel, 2 task applications,1 LW Semaphore, interrupt stack, queues, and memory manager. Provides a fully-functional RTOS core with additional, optional services. Components are linked in only if needed, preventing unused functions from bloating the memory footprint. Key components are included in both full and lightweight versions for further control of size, RAM/ROM utilization and performance options.

Start coding online and save your sketches in the cloud. The most up-to-date version of the IDE includes all libraries and also supports new Arduino boards. The open-source Arduino Software (IDE) makes it easy to write code and upload it to the board. This software can be used with any Arduino board. Active development of the Arduino software is hosted by GitHub. See the instructions for building the code. Latest release source code archives are available in our website. The archives are PGP-signed so they can be verified using this gpg key. To program Arduino from a Chromebook, you can use the Arduino Web Editor on Arduino Cloud. The desktop version of the IDE is not available on Chrome OS. The new major release of the Arduino IDE is faster and even more powerful! In addition to a more modern editor and a more responsive interface it features autocompletion, code navigation, and even a live debugger.

The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates the data science pipeline and streamlines development and deployment of production AI including generative AI, computer vision, speech AI and more. With over 50 frameworks, pretrained models and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI, while also simplifying AI to make it accessible to every enterprise. The adoption of artificial intelligence and machine learning has gone mainstream, and is core to nearly every company’s competitive strategy. One of the toughest challenges for enterprises is the struggle with siloed infrastructure across the cloud and on-premises data centers. AI requires their environments to be managed as a common platform, instead of islands of compute.

Intel® SceneScape is an advanced software platform designed to create 4D digital twins of physical spaces by processing data from multiple sensors. This innovative platform extends tracking capabilities beyond traditional vision-based AI by enabling real-time monitoring, asset tracking, and predictive decision-making. With its low-code interface and compatibility with various sensors, SceneScape makes it easy to deploy powerful AI solutions across industries like defense, transportation, healthcare, and retail. It provides near real-time tracking and analytics, improving operational efficiency and situational awareness.

Optimized AI is ready to launch on-device and allows you to deploy your AI models on actual devices. With LaunchX automation, you can simplify conversion and effortlessly measure performance on target devices. Customize the AI platform to meet your hardware specifications. Enable seamless AI model deployment with a tailored software stack. Nota’s AI technology empowers intelligent transportation systems, facial recognition, and security and surveillance. The company’s solutions include a driver monitoring system, driver authentication, and smart access control system. Nota‘s current projects cover a wide range of industries including construction, mobility, security, smart home, and healthcare. Nota’s partnership with top-tier global market leaders including Nvidia, Intel, and ARM has helped accelerate its entry into the global market.

The Qualcomm AI Hub is a resource portal for developers aiming to build and deploy AI applications optimized for Qualcomm chipsets. With a library of pre-trained models, development tools, and platform-specific SDKs, it enables high-performance, low-power AI processing across smartphones, wearables, and edge devices.