ChiPy __Main__ Meeting

When: April 11, 2019, 6 p.m.

Where: Numerator

Attendance:

Topics

  • Starting Your Data Science Journey
    By: Aaron Yang
    Experience Level: Novice
    Length: 5 Minutes
    Description:

    There have been great talks in chipy showcasing the amazing new technologies people are using with python, but we often forget where we first started. Some of you all are coming to Chipy for the first time and hoping to take your first steps into the world of tech. This talk will be targeted towards people looking to transition their career or the rest of us looking to find community in the continual gauntlet of developing our skills in the tech industry. I'll be showcasing my process and my thoughts on developing your skills.

  • Empowering Early-Career Developers
    By: Mercedes Bernard
    Experience Level: Novice
    Length: 30 Minutes
    Description:

    How can teams invest in and grow their less experienced developers into team-leading senior devs? I believe the first step is empowering them. On my team, we’ve created a process for each team member to lead and own one of our core features. Our early-career developers are learning client management and team leadership skills that they wouldn’t usually get to practice until they stepped into a senior role. In this talk, I’ll share what we’ve learned and a framework for you to create a process tailored to your team so you can provide your early-career developers the opportunities they need to become successful, senior team members.

  • Plug-n-Stream Player Piano: Signal Processing With Python
    By: JP Bader
    Experience Level: Intermediate
    Length: 20 Minutes
    Description:

    Digital Signal Processing and Player Piano don't normally come together in the same sentance. Player Pianos that are 100+ years old are awesome artisan artifacts, but they don't play digital formats very well. This talk will show how we take a 100+ year old technology and marry it to the digital age via Python libraries and precision lasers! In this discussion we will cover how we are creating our own "Plug-n-Stream Player Piano". We will take a look at the different digital signal processing Python libraries, their functionality, and requirements for converting audio streams to piano playable audio files.