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Learning Objectives By the end of this article, you will: Use PowerCLI and Python to send data to and receive data from external REST APIs. Automate notifications and ticket creation with VMware scripting. Build workflows that bridge VMware and IT service management tools. Visualize multi-tool integration with an diagram. My Personal Repository on GitHub VMware
Integrating PowerCLI with External APIs and Tools Read More »
Learning Objectives By the end of this article, you will: See how a single Python script can orchestrate inventory, lifecycle, reporting, health checks, and notifications in VMware. Understand the power of modular, well-commented code for real enterprise use. Learn new scripting patterns, error handling, logging, and integration best practices. Visualize the workflow and adapt it
Unlocking VMware Automation Power: One Python Script to Rule Them All Read More »
Learning Objectives By the end of this article, you will: Automate common VM lifecycle actions such as power on, power off, and restart. Create and manage VM snapshots through scripts. Build reusable Python-driven PowerCLI automation for these tasks. Visualize the process with a step-by-step diagram. My Personal Repository on GitHub VMware Repository on GitHub Prerequisites
Automating VM Lifecycle Actions and Snapshots with PowerCLI and Python Read More »
We are proud to introduce the {mall} package. With {mall}, you can use a local LLM to run NLP operations across a data frame. (sentiment, summarization, translation, etc). {mall} has been simultaneously released to CRAN and PyPi (as an extension to Polars).
The mall 0.2.0 update for R and Python introduces support for external LLM providers like OpenAI and Gemini. This version also features parallel processing for R users, the ability to run NLP on string vectors in Python, and a brand new cheatsheet.
In this tutorial, we build an advanced multi-page interactive dashboard using Panel. Through each component of implementation, we explore how to generate synthetic data, apply rich filters, visualize dynamic time-series trends, compare segments and regions, and even simulate live KPI updates. We design the system step by step so we can truly understand how each
