Releasing Your First (Python) Open Source Project to the Masses! - Ian Lee - 2 Hours
Join the WWHF Community Discord: / discord
0:00:00 - PreShow Banter™ — Sorry, I Got You
0:00:35 - FEATURE PRESENTATION: Releasing Your First (Python) Open Source Project
0:03:26 - Why Open Source?
0:06:50 - Staged vs Not vs Untracked
0:13:38 - Good Commit Messages
0:14:51 - Branch Names
0:15:25 - DEMO
0:57:57 - Git Flow
1:05:47 - Gittin’ To It!
1:20:18 - Kickstarting Your Development
This Hackin Cast will build somewhat on the "Intro to Git" workshop I presented at WWHF Deadwood 2020 and continue the journey of actually getting your idea for a cool new project out in front of the world. You will benefit from either having seen that workshop or having done any of the many Git tutorials available online (e.g., https://try.github.io/). We'll pick up from having just learned how to start using Git and work through how to take that knowledge to start your own first open source project. We'll start a new project in Python, talk through how to build that project, package it up, build some testing around it, and get it pushed up to GitHub where others in the world can start finding it and making use of it. This Hackin' Cast is appropriate for attendees of all levels, and no prior knowledge (other than very basic command line and git usage) will be expected.
Ian Lee is a Computer Engineer and Cyber Assessment Coordinator in the High-Performance Computing (HPC) facility at Lawrence Livermore National Laboratory (LLNL); home to some of the largest supercomputers on the planet, including Sierra, currently the #2 in the world with a performance of 94.6 Pflop/s. At LLNL, Ian has created a role performing cyber assessment, penetration testing, and purple teaming duties for the facility. Ian also has a strong background as a software developer, with a passion for the use and development of open source software and practices. He leads sustainment and outreach efforts of open source software produced by the laboratory. His personal mission is to always “leave things better than you found them.