- Home
- Tag: Pip
Posts tagged Pip
Tag: Pip
Hazelcast Python Client 4.0 is Released

Feed: Blog – Hazelcast. Author: Metin Dumandag. We are happy to announce that the Hazelcast Python Client 4.0 is released! You can install the latest version through PyPI by issuing the following command. pip install hazelcast-python-client Let’s dive into the highlights of this release! Hazelcast Client Protocol 2.0 Python client now uses Hazelcast Open Binary Protocol 2.0, which features numerous enhancements over the 1.x version, to communicate with the Hazelcast cluster. Although the protocol layer is invisible to the end-user, this change has an important implication. The client is now able to work with IMDG 4.x clusters. However, the 4.x ... Read More
Setup Visual Studio Code to run R on VSCode 2021
Feed: R-bloggers. Author: AbdulMajedRaja RS. In this R Programming Tutorial, You’ll how to set up / use / run R Code on VSCode (Visual Studio Code). VSCode – Visual Studio Code is one of the most popular IDEs available and this tutorial enables you to run R Programming on VSCode (connecting via Language Server Protocol and enriched R Console with Radian). Video Walkthrough These are the following steps: Make sure you’ve got VSCode (Visual Studio Code) installed on your machine Install VSCode R Extension on your VSCode Install R LSP Client on your VSCode Install languageserver on your R Console ... Read More
Automatically installing Shiny and RStudio server on Raspberry Pi OS with Ansible
Feed: R-bloggers. Author: R on Andres' Blog. [This article was first published on R on Andres' 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. I have a previous post about installing Shiny and RStudio server natively on Raspbian Stretch but since it was written for this old version of the operating system, it is outdated now and it only works as a general guideline instead of a working installation guide, so I ... Read More
MariaDB Jupyter Kernel Installation
Feed: MariaDB Knowledge Base Article Feed. Author: . The mariadb_kernel project uses under the hood the MariaDB command-line client as a child process, thus having MariaDB installed on your system is a hard requirement in order to be able to use the kernel. If you don’t have it already installed, you can download the binaries from here. You also need JupyterLab or Notebook If your MariaDB binaries are not in PATH, please see the Configuring section to see how you can point the kernel to the right binaries path. Quick Installation Steps Follow these steps if you already have a ... Read More
Testing data quality at scale with PyDeequ

Feed: AWS Big Data Blog. You generally write unit tests for your code, but do you also test your data? Incoming data quality can make or break your application. Incorrect, missing, or malformed data can have a large impact on production systems. Examples of data quality issues include the following: Missing values can lead to failures in production system that require non-null values (NullPointerException) Changes in the distribution of data can lead to unexpected outputs of machine learning (ML) models Aggregations of incorrect data can lead to wrong business decisions In this post, we introduce PyDeequ, an open-source Python wrapper ... Read More
Advent of 2020, Day 27 – Connecting Azure Databricks with on premise environment
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 connected the Azure Machine Learning services and Azure Databricks workspace for tracking and monitoring experiments and models in Azure Machine Learning. Today we will connect on premise development environment (R or Python) with resources in Azure Databricks. With other words, we will have running code ... Read More
Manage MySQL Database Service (MDS) with Python

Feed: Planet MySQL; Author: Mirko Ortensi; You only have to choose your favorite flavour to setup, administer, configure, backup or attach an analytics cluster to your MDS DB System, as Oracle maintains SDKs in several languages to integrate your software with Oracle Cloud Infrastructure. And in particular today I’d like to test the SDK for Python, you can find an introduction here (but you have also SDKs for Java, Go, Ruby, Javascript, .NET). Read an introduction to SDKs. First of all let’s create a virtual environment (venv) to work in a containerized environment. bash-3.2$ python3 -m venv . bash-3.2$ ll ... Read More
Serverless Development with AWS Lambda and Redis Enterprise Cloud

Feed: Redis Labs. Author: Tugdual Grall. In this blog post, you will learn how to integrate AWS Lambda and Redis Enterprise Cloud. Using a sample movie-database application, you will discover how to build and deploy two Lambda functions, one in Node.js, one in Python. These two Lambda functions are used to interact with the Redis database to insert, update, delete, and query. The application uses the RediSearch API that provides rich query and search functionalities. Serverless, using AWS Lambda, fits into the growing trend towards microservice architectures as it allows developers to reduce the scope of a business “service” into ... Read More
ArangoML Series: Intro to 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 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 This notebook is just a slice of the full-sized notebook available in the ArangoDB NetworkX adapter repository. It is summarized here to better fit the blog post format and ... Read More
Amazon EMR Studio (Preview): A new notebook-first IDE experience with Amazon EMR

Feed: AWS Big Data Blog. We’re happy to announce Amazon EMR Studio (Preview), an integrated development environment (IDE) that makes it easy for data scientists and data engineers to develop, visualize, and debug applications written in R, Python, Scala, and PySpark. EMR Studio provides fully managed Jupyter notebooks and tools like Spark UI and YARN Timeline Service to simplify debugging. EMR Studio uses AWS Single Sign-On (AWS SSO), and allows you to log in directly with your corporate credentials without signing in to the AWS Management Console. With EMR Studio, you can run notebook code on Amazon EMR running on ... Read More
Recent Comments