Copy of Introduction to Amazon Web Services

Introduction to Serverless in Amazon Web Services

deck

Wprowadzenie do serverless w chmurze Amazon Web Services

Cobot

Copy of Implementation of Data Ingestion Pipeline for CoBotAGV readings in edge-cloud environment

Implementation of Data Ingestion Pipeline for CoBotAGV readings in edge-cloud environment

Implementation of Data Ingestion Pipeline for CoBotAGV readings in edge-cloud environment

Palette

Copy of [CONF VERSION] Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading

Copy of Struktury danych oraz metody wykorzystywane do analizy brzegowej w zastosowaniach Internetu Rzeczy

A whirlwind tour of NoSQL databases

OPC UA Server integration

Implementation of data lake for CoBotAGV readings in cloud environment

deck

[CONF VERSION] Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading

Accelerating Edge Metagenomic Analysis with Serverless-based Cloud Offloading

Bazy Danych w IoT

Struktury danych oraz metody wykorzystywane do analizy brzegowej w zastosowaniach Internetu Rzeczy

Metagenomic analysis at the Edge with Jetson Xavier NX

Serverless Nanopore Basecalling with AWS Lambda

OPC UA Server integration

Copy of Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks

Copy of Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks

Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks

Wprowadzenie do IoT w chmurze Amazon Web Services

A whirlwind tour of NoSQL databases

Copy of Evaluation of Key-Value Stores for Distributed Locking Purposes

Short introduction to Type Hints in Python

Introduction to Amazon Web Services

Introduction to Serverless Computing for Pythonistas

Evaluation of Key-Value Stores for Distributed Locking Purposes

deck

TechTalks#39 Outro

TechTalks#39 Intro

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.

Virtual environments and dependency management in Python