Events
This workshop will go over how to use container on HPC resources. Containers are a great way to run scientific software on various HPC platforms.
This workshop is a follow-up to a previous workshop on “Using Containers on HPC Resources”. This workshop will focus on creating containers to be ran on HPC resources.
Are you interested in the connections between people? Places? Concepts? Things? Do you want to visualize data in a way that is comprehensible to a human? Do you want to see how information flows through systems? Then network analysis is for you!
Built on a hypersivor of host operation system, virtual machine (VM) offers an isolated virtual environment providing functionality needed to execute guest operation systems (OS) and applications.
While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios.
Built on a hypersivor of host operation system, virtual machine (VM) offers an isolated virtual environment providing functionality needed to execute guest operation systems (OS) and applications.
While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios.
Meta-analysis is the synthesis of results from previous studies. It is used to increase power, obtain a better estimate of an effect size, and sometimes to resolve conflicting conclusions in the literature.
In the era of open source software, there are a wide range of useful and free programs for researchers to take advantage of, including novel utility programs and innovative research codes.
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data in the pursuit of understanding and conveying underlying patterns.
This workshop teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer.
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data in the pursuit of understanding and conveying underlying patterns.
This workshop is an introduction to R as a programming language.