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Tag: Pip
RStudio Package Manager 1.2.0 – Bioconductor & PyPI
Feed: R-bloggers. Author: Sean Lopp. [This article was first published on RStudio Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Packages are the heart of open source data science, but we know they aren’t always easy. Data scientists need access to ever-evolving tools to do their best work, and IT needs to understand the risk of new software while providing a stable environment for reproducible work. RStudio Package Manager helps teams work ... Read More
Advent of 2020, Day 8 – Using Databricks CLI and DBFS CLI for file upload
Feed: R-bloggers. Author: tomaztsql. [This article was first published on R – TomazTsql, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Series of Azure Databricks posts: Yesterday we worked toward using notebooks and how to read data using notebooks. Today we will check Databricks CLI and look into how you can use CLI to upload (copy) files from your remote server to DBFS. Databricks CLI is a command-line interface (CLI) that provides an ... Read More
Ingesting Jira data into Amazon S3

Feed: AWS Big Data Blog. Consolidating data from a work management tool like Jira and integrating this data with other data sources like ServiceNow, GitHub, Jenkins, and Time Entry Systems enables end-to-end visibility of different aspects of the software development lifecycle and helps keep your projects on schedule and within budget. Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, performance, security, and data availability. Many of our customers choose to build their data lakes on Amazon S3. They find the flexible, pay-as-you-go, cloud model ideal when dealing with vast amounts of heterogeneous data ... Read More
Working with Lambda layers and extensions in container images

Feed: AWS Compute Blog. Author: Julian Wood. In this post, I explain how to use AWS Lambda layers and extensions with Lambda functions packaged and deployed as container images. Previously, Lambda functions were packaged only as .zip archives. This includes functions created in the AWS Management Console. You can now also package and deploy Lambda functions as container images. You can use familiar container tooling such as the Docker CLI with a Dockerfile to build, test, and tag images locally. Lambda functions built using container images can be up to 10 GB in size. You push images to an Amazon ... Read More
Hazelcast Python Client 4.0 Beta is Released

Feed: Blog – Hazelcast. Author: Metin Dumandag. We are happy to announce that the Hazelcast Python Client 4.0 Beta is released! Before releasing the final version, we decided to release a beta version of the client to get feedback from the community. Don’t hesitate to play with the new version of the client and share your feedback with us through Slack, Google Group, or our Github repository. Getting Started You can install the beta version through PyPI by issuing the following command. pip install hazelcast-python-client==4.0.0b1 Let’s dive into the highlights of this release! Hazelcast Client Protocol 2.0 The Python client ... Read More
Django with Vitess

Feed: Planet MySQL; Author: Vitess; Django is a popular framework for Python application developers. It includes packages which make tasks like authorization and content administration easier. Django supports a number of databases including MySQL which makes it possible to run a Django application over Vitess without having to change the application code. Let’s take a look at how to combine the strengths of these two open source frameworks.We built this example using Vitess operator. You can see the details of the implementation in the blog post Vitess Operator for Kubernetes.Prerequisites Python environment locally (3.X)Kubernetes access (minikube, GKE)Support for Django ORM ... Read More
Manage MySQL Database Service (MDS) DB Systems with OCI CLI

Feed: Planet MySQL; Author: Mirko Ortensi; OCI CLI is a powerful tool that does it all for OCI administration: from creating a compute instance to configuring a Virtual Cloud Network (VCN), from setting up Identity Management Service (IAM) to managing all the different storage flavours. Consult the OCI CLI command reference. MySQL Database Service (MDS) is not an exception, everything related to the new MySQL Server service running over OCI can be easily managed with a set of commands using OCI CLI, check it here. Starting new DB Systems, creating and managing backups, dealing with the configuration or retrieving information…everything ... Read More
Amazon Neptune releases graph notebook as an open-source project
Feed: Recent Announcements. The open-source graph notebook provides users the flexibility to run their queries and visualization from local desktops, EC2, or EMR in addition to using the Neptune Workbench on SageMaker. It is easily installed via the Python Package Installer (PIP). You can connect to graph databases that provide an endpoint that implements an Apache TinkerPop Gremlin Server or the SPARQL 1.1 Protocol. The notebook also gives developers the power to enhance and contribute to the features in the notebook. To get started, visit the project on GitHub. You can also contribute to the graph notebook codebase. For more ... Read More
Creating faster AWS Lambda functions with AVX2

Feed: AWS Compute Blog. Author: James Beswick. Customers use AWS Lambda to build a wide range of applications, including mission-critical and compute-intensive applications. The most demanding workloads include machine learning inferencing, media processing, high performance computing (HPC), scientific simulations, and financial modeling. With the release of Advanced Vector Extensions 2 (AVX2) support for Lambda, builders can benefit from improved performance for these types of applications. Overview This blog post explains AVX2 and how you can take advantage of this instruction set in your Lambda functions. I walk through an example of how to enhance performance of a typical use case ... Read More
ArangoML Series: Intro to the NetworkX Adapter

Feed: Blog – ArangoDB. Author: Christopher Woodward. This post is the fifth in a series of posts introducing the ArangoML features and tools. This post introduces the ArangoDB NetworkX adapter, which makes it easy to analyze your graphs stored in ArangoDB with NetworkX. In this post we: Briefly introduce NetworkXExplore the IMDB user rating datasetShowcase the ArangoDB integration of NetworkXExplore the centrality measures of the data using NetworkXStore the experiment with arangopipe Going forward, the ArangoML Series will no longer be numbered. Parts 1-4 deal with the same housing dataset and focus on introducing some core machine learning concepts. We ... Read More
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