Skip to main content

Wordpress Profile Pages for Darrell Ulm

Exploring Drupal to WordPress migrations, as well as WordPress to Drupal imports, opens up a wide range of technical approaches depending on the structure of the site and its e‑commerce requirements. I have been researching different methods for handling database migrations, including using Drupal Views, working with Ubercart, and evaluating how these components can integrate with WooCommerce on the WordPress side.

I am also reviewing a variety of WordPress plugins, integration options, and custom API development to support more advanced or specialized functionality. For reference, here are the WordPress profile links for Darrell Ulm:

Darrell Ulm Wordpress Support User Profile
Main Darrell Ulm Wordpress Profile

Tumblr, Wordpress
Labels:

Popular posts from this blog

Getting back into parallel computing with Apache Spark

Returning to parallel computing with Apache Spark has been insightful, especially observing the increasing mainstream adoption of the McColl and Valiant BSP (Bulk Synchronous Parallel) model beyond GPUs. This structured approach to parallel computation, with its emphasis on synchronized supersteps, offers a practical framework for diverse parallel architectures.While setting up Spark on clusters can involve effort and introduce overhead, ongoing optimizations are expected to enhance its efficiency over time. Improvements in data handling, memory management, and query execution aim to streamline parallel processing.A GitHub repository for Spark snippets has been created as a resource for practical examples. As Apache Spark continues to evolve in parallel with the HDFS (Hadoop Distributed File System), this repository intends to showcase solutions leveraging their combined strengths for scalable data processing.
Read more

Apache Spark Knapsack Approximation Algorithm in Python

The code shown below computes an approximation algorithm, greedy heuristic, for the 0-1 knapsack problem in Apache Spark. Having worked with parallel dynamic programming algorithms a good amount, wanted to see what this would look like in Spark. The Github code repo. for the Knapsack approximation algorithms is here , and it includes a Scala solution. The work on a Java version is in progress at time of this writing. Below we have the code that computes the solution that fits within the knapsack W for a set of items each with it's own weight and profit value. We look to maximize the final sum of selected items profits while not exceeding the total possible weight, W. First we import some spark libraries into Python. # Knapsack 0-1 function weights, values and size-capacity. from pyspark.sql import SparkSession from pyspark.sql.functions import lit from pyspark.sql.functions import col from pyspark.sql.functions import sum Now define the function, which will take a Spark ...
Read more