ahbarnett / sciware

Learning materials for scientific software development

Sciware: a scientific software development learning community

A developing series of meetings about software development for science.

• Feb 28, 2019 Founding meeting: initial planning community with a select group of people
• Mar 28, 2019 Overview meeting: introductory meeting with the entire community, overview of topics, motivation
• May 09, 2019 Testing: introduction to testing scientific software
• Jul 18, 2019 Tools & Workflows: show and tell of tools and workflows currently in use
• Aug 29, 2019 Debugging: presentation of several debugging tools in various coding environments and languages
• Oct 17, 2019 Parallel and Distributed Computing: introduction to parallel and distributed computing concepts and approaches
• Jan 30, 2020 Modern C++: overview of recent C++ language developments
• Apr 16, 2020 Working Remotely: community tools and tips for working, accessing computing, services, and data, remotely
• May 14, 2020 Introduction to Julia
• Jun 18, 2020 Intel VTune
• Aug 13, 2020 Shells and Environments: environment variables, shell features
• Sep 24--Oct 1, 2020 Git with Software Carpentry
• Nov 06, 2020 Functions: what is a function, when and how to write them, code structure and strategies
• Mar 04, 2021 Debugging: a whirlwind tour of various debugging tools
• Apr 29, 2021 Testing and Packaging Workshop: a hands-on workshop for building and running tests in a python package
• Jun 16--17, 2021 Intro to git and Github: a hands-on workshop to learn git and Github basics for cloning, pushing, PRs, and collaboration
• Jul 08, 2021 Intro to editing code: an introduction to using IDEs and code editors, using VSCode as an example
• Oct 21, 2021 Intro to Scientific Visualization with Blender: and introduction and demo to visualising scientific data in blender
• Nov 04, 2021 Using the Flatiron Cluster: a performance-minded guide to using the computing clusters available at Flatiron Institute
• Jan 27, 2022 Performance troubleshooting and profiling: Using profiling tools to improve the performance of your code
• Mar 03, 2022 [Documentation: How to Win Users and Influence Science]: Creating documentation that makes software friendlier to yourself and to others.