By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...
Abstract: Mobile edge computing (MEC) enables users to offload computing tasks to edge servers for provisioning low-latency and computation-intensive services. To manage heterogeneous resources and ...
It contains a production grade implementation including DEPLOYMENT code with CDK and a CI/CD pipeline, testing, observability and more (see Features section). Choose the architecture that you see fit, ...
Learn how to build a standard deviation function in VPython with this step-by-step web tutorial! Perfect for coding, data analysis, and physics simulations. #VPython #PythonTutorial #StandardDeviation ...
The pace of innovation in cloud computing continues unabated, with AWS recently unveiling durable functions for AWS Lambda. This move could have significant implications for how enterprises design and ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
AWS-Lambda-Env-Modeler is a Python library designed to simplify the process of managing and validating environment variables in your AWS Lambda functions. It leverages the power of Pydantic models to ...
Learn how to calculate and plot mathematical functions using a spreadsheet. This tutorial shows step-by-step how to set up formulas, visualize data, and create clear graphs for math and science ...
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