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deck
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Wprowadzenie do serverless w chmurze Amazon Web Services
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Cobot
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Copy of Copy of Implementation of Data Ingestion Pipeline for CoBotAGV readings in edge-cloud environment
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Copy of Implementation of Data Ingestion Pipeline for CoBotAGV readings in edge-cloud environment
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Implementation of Data Ingestion Pipeline for CoBotAGV readings in edge-cloud environment
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Implementation of Data Ingestion Pipeline for CoBotAGV readings in edge-cloud environment
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Palette
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Copy of [CONF VERSION] Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading
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Copy of Struktury danych oraz metody wykorzystywane do analizy brzegowej w zastosowaniach Internetu Rzeczy
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A whirlwind tour of NoSQL databases
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OPC UA Server integration
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Implementation of data lake for CoBotAGV readings in cloud environment
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deck
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[CONF VERSION] Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading
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Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading
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Bazy Danych w IoT
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Struktury danych oraz metody wykorzystywane do analizy brzegowej w zastosowaniach Internetu Rzeczy
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Metagenomic analysis at the Edge with Jetson Xavier NX
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Serverless Nanopore Basecalling with AWS Lambda
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OPC UA Server integration
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Copy of Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks
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Copy of Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks
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Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks
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Wprowadzenie do IoT w chmurze Amazon Web Services
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A whirlwind tour of NoSQL databases
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Copy of Evaluation of Key-Value Stores for Distributed Locking Purposes
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Short introduction to Type Hints in Python
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Introduction to Amazon Web Services
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Introduction to Serverless Computing for Pythonistas
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Evaluation of Key-Value Stores for Distributed Locking Purposes
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deck
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TechTalks#39 Outro
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TechTalks#39 Intro
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Parity & security
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Introduction to AWS Machine Learning Application Services for Pythonistas
Recently, Machine Learning is rapidly gaining popularity and are being used for a variety of applications. What if you'd like to enchance your Python app with AI-capabilities, but don't have resources to develop it on your own ? AWS Machine Learning Application Services to the rescue! During my presentation, I will describe what services has AWS to offer when it comes to ML-driven APIs and I'll show how Pythonistas can leverage services like AWS Polly, AWS Rekognition or AWS Transcribe to add image analysis or text to speech conversion to their services.
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Virtual environments and dependency management in Python
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deck
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Środowiska wirtualne i zarządzanie zależnościami w Pythonie