Category: Python

Feed: MemSQL Blog. Author: Floyd Smith. How does a major technology services company equip itself to compete in the digital age – and provide services so outstanding that they can significantly advance the business prospects of their customers? All while reducing complexity, cutting costs, and tightening SLAs – in some cases, by 10x or more? For one such company, the solution is to deliver real-time, operational analytics with Kafka and MemSQL. In this company, data flowed through several data stores, and from a relational, SQL database, into NoSQL data stores for batch query processing, and back into SQL for BI, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Programming languages are a tool for the realization of many powerful data science applications. But, there are so many of them and it has become confusing to choose the optimal one for your specific project. In this article, we are going to talk about popular languages for Data Science and briefly describe each of them. Python Python is a modern, general-purpose, high-level, dynamic programming language. It can be used for integrating with web apps or incorporate statistics code into a production database. There are a lot of libraries, which can ... Read More

Feed: Recent Announcements. You can now add Python or PowerShell scripts in combination with existing Automation actions, such as getting approvals, calling AWS APIs, or running commands on your Amazon EC2 instances. For example, you can now filter for unencrypted EBS snapshots, generate a report, get approval, and encrypt them to enhance your security posture. You can also extend your script execution environment by attaching additional software packages. For example, you can use the newly published Amazon playbook, AWS-RunPacker, to run your Hashicorp Packer templates to build machine images.   Creating your own automation playbook is easy using the new ... Read More

Feed: Planet MySQL; Author: Severalnines; MySQL InnoDB Cluster consists of 3 components: MySQL Group Replication (a group of database server which replicates to each other with fault tolerance). MySQL Router (query router to the healthy database nodes) MySQL Shell (helper, client, configuration tool) In the first part of this walkthrough, we are going to deploy a MySQL InnoDB Cluster. There are a number of hands-on tutorial available online but this walkthrough covers all the necessary steps/commands to install and run the cluster in one place. We will be covering monitoring, management and scaling operations as well as some gotchas when ... Read More

Feed: Microsoft Azure Blog. Author: Rimma Nehme. This post was co-authored by Mikhail Shilkov, Software Engineer, Pulumi. Pulumi is reinventing how people build modern cloud applications, with a unique platform that combines deep systems and infrastructure innovation with elegant programming models and developer tools. We live in amazing times when people and businesses on different continents can interact at the speed of light. Numerous industries and applications target users around the globe: e-commerce websites, multiplayer online games, connected IoT devices, collaborative work and leisure experiences, and many more. All of these applications demand computing and data infrastructure in proximity to ... Read More

Feed: AWS Big Data Blog. Data is revolutionizing the way organizations of all sizes conduct their business. Companies are increasingly using third-party data to complement their internal data and deliver value for their customers. Third party data is used across a wide variety of use-cases, such as to build applications for customers, to run analytics workloads to improve business operations and marketing activities, or to build predictive models using machine learning (ML) techniques.However, as data becomes the center of how companies operate, the way data providers deliver to data subscribers has not changed in years. As data providers, you spend ... Read More

Feed: R-bloggers. Author: Rahim Rasool. Logistic regression is one of the statistical techniques in machine learning used to form prediction models. It is one of the most popular classification algorithms mostly used for binary classification problems (problems with two class values, however, some variants may deal with multiple classes as well). It’s used for various research and industrial problems. Therefore, it is essential to have a good grasp on logistic regression algorithm. This tutorial is a sneak peek from many of Data Science Dojo’s hands-on exercises from their 5-day data science bootcamp, you will learn how logistic regression fits a ... Read More

Feed: Neo4j Graph Database Platform. Author: Corin Gainey. Editor’s Note: This presentation was given by Will Lyon at GraphConnect New York in September 2018. He recently published the book, Fullstack GraphQL Applications with GRANDstack.Presentation SummaryWill Lyon is a Neo4j Developer Relations Engineer. He is familiar with Neo4j, both from the inside building applications as well as from the outside as a customer. Today’s session features an introduction to GraphQL.GraphQL is an API query language and runtime for building APIs originally built by Facebook. GraphQL queries allow you to describe your data, ask for what you want, and then deliver predictable ... Read More

Feed: AWS Big Data Blog. Customers are doing some amazing things with data, such as improving medicine and tackling climate change. With AWS services, such as AWS Glue, Amazon EMR, Amazon SageMaker, Amazon QuickSight, and Amazon Athena, it is easier than ever to get data insights for your business. But how can you find the right data to fuel these analytics? This is where AWS Data Exchange steps in.AWS Data Exchange makes it simple to exchange data in the cloud. In a few minutes, you can find and subscribe to hundreds of data products from more than 80 qualified data ... Read More

Feed: Microsoft Azure Blog. Author: Usha Narayanabhatta. GitHub Actions make it possible to create simple yet powerful workflows to automate software compilation and delivery integrated with GitHub. These actions, defined in YAML files, allow you to trigger an automated workflow process on any GitHub event, such as code commits, creation of Pull Requests or new GitHub Releases, and more. As GitHub just announced the public availability of their Actions feature today, we’re announcing that the GitHub Actions for Azure are now generally available. You can find all the GitHub Actions for Azure and their repositories listed on GitHub with documentation ... Read More