python

How-to-build-Python-Data-Science-Docker-container-based-on-Anaconda

How to build Anaconda Python Data Science Docker container

In this article, we’ll build a Docker container for Machine Learning (ML) development environment. This image is quite useful if you’re developing ML models or you need a pre-configured Jupyter notebook with some of the most useful libraries. Recently we published an article Quick And Simple Introduction to Kubernetes Helm Charts in 10 minutes, where you …

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Cloud-CRON-Scheduled-Lambda-Functions

Cloud CRON – Scheduled Lambda Functions

This article covers how to build a Serverless Cron solution and launch scheduled jobs at AWS cloud using CloudWatch Events and Lambda functions at almost no cost. As usual, we’re providing some additional reading to those of you, who interested. If you’re looking for a solution only, please, jump here. Benefits Of Using Scheduled AWS Lambda …

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How-to-use-AWS-CDK-to-deploy-Python-Lambda-function

How to use AWS CDK to deploy Python Lambda function

This article will take a quick look at how to deploy the Lambda function using AWS CDK. The AWS Cloud Development Kit (AWS CDK) is an open-source development framework to model and provision your cloud application resources using popular programming languages like Typescript, Javascript, Python, Java, C#. Every AWS resource in AWS CDK is implemented …

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AWS-Step-Functions-How-to-manage-long-running-tasks

AWS Step Functions – How to manage long running tasks

This article continues Serverless articles series and covers how to create and use AWS Step Functions workflow to manage long-running tasks in AWS cloud. By the end of the article we’ll deploy our workflow using CloudFormation. Managing and orchestrating multiple automation activities in the cloud may be a challenging task. In the article Cloud CRON – …

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How-to-create-and-deploy-your-first-python-aws-lambda-function

How to create and deploy your first Python 3 AWS Lambda Function

This article will describe what Lambda function is, what its features and limits are. We’ll develop a simple Lambda function and deploy it using CloudFormation. Finally, we’ll discuss the Lambda developer workflow and platform-independent build of Lambda functions and Layers using Docker. What is Lambda Function AWS Lambda Functions is a service, which provides short execution …

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How-to-use-AWS-SAM-to-simplify-Serverless-Python-applications-development

How to use AWS SAM to simplify Serverless Python development

We already know How to create and deploy your first Python AWS Lambda Function from scratch without using any frameworks. Meanwhile, we mentioned some, and one of those was SAM. AWS Serverless Application Model (SAM) is a open-source framework that allows you to simplify development of Lambda functions for your serverless applications in AWS Cloud, where you need …

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EventBridge-Building-loosely-coupled-event-driven-serverless-architectures

AWS EventBridge – Building loosely coupled event-driven Serverless architectures

From this article, you’ll learn, what is Amazon EventBridge, what problems it helps to solve, and how you can use it to simplify your event-driven workflows. What’s Amazon EventBridge The very first thing we need to do, is to describe EventBridge. From the official service page: Amazon EventBridge is a serverless event bus that makes it …

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Building-Thumbnails-And-GIFs-Generator-Using-Lambda-And-FFmpeg

Building Thumbnails And GIFs Generator Using Lambda And FFmpeg

This article continues our Serverless category and shows how to build a completely serverless API for generating thumbnails and gif images from uploaded to S3 video files using AWS Lambda. The heart of the video processing service is a Lambda function with Lambda Layer attached to it with statically linked FFmpeg. This Lambda function is …

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How to run Jupiter, Keras, Tensorflow and other ML libs in Docker

How to run Jupiter, Keras, Tensorflow, and other ML libs in Docker

In this article, we’ll continue Docker related article series and show how to create an Ubuntu 20.04 LTS based Docker container for Machine Learning. We’ll install to the environment: Python 3, Jupyter, Keras, Tensorflow, TensorBoard, Pandas, Sklearn, Matplotlib, Seaborn, pyyaml, h5py. Prepare your personal ML environment in 3 minutes, excluding Docker image building time! Update …

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