What if you could code without coding? As the number of features and requirements increase in our apps, text-based logic becomes much more complex to understand, change, and test. Using visual event-driven state modeling with state machines and statecharts orchestrates this logic in a simpler way. In this talk, you will learn about new tools and techniques for managing and editing complex logic visually, and how XState can bring your app logic to the next level. PUBLICATION PERMISSIONS:
Oredev Conference Organizers provided Coding Tech with their permission to republish Oredev Tech Talks. https://www.youtube.com/watch?v=wgWwJSnhgDU

The "Faster CPython" project aims to speed up Python, specifically CPython, by a large factor over the next few releases.
The first release to see the benefits of this work is Python 3.11. Python 3.11 includes the following major changes: * Adaptive specializing interpreter (PEP 659)
* Consecutively allocated execution frames
* Zero cost try-except
* More regular object layout
* Lazily created object dictionaries. I will describe each of these, describing how each helps speed up Python, and how they interact with each other. I will end the talk with some possible directions for Python 3.12. PUBLICATION PERMISSIONS:
Original video was pbulished with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=xKk7IXm0XO0 https://www.youtube.com/watch?v=MipEJ3XzZjU

Digital audio has been around for 40 years, but working with audio data can still be complicated, especially in Python. In this talk, we'll talk about how digital audio works from the ground up (from sounds, to bytes, to files), how you can use Python to do a bunch of really neat things with audio, and how a new Python library – Pedalboard – helps make working with audio much easier. Ever used a digital audio workstation (DAW) like GarageBand, Ableton Live, Logic, or Pro Tools? Today's musicians use DAWs as instruments in themselves. But what if you want to combine the power of a DAW with the flexibility of writing your own code? Pedalboard was built to fill this niche: to pull the power of a DAW into your Python code. Pedalboard makes it easy to build and apply audio effects, read and write audio files, and load audio plug-ins (""VSTs"") without any complicated dependencies or frameworks. Just `import pedalboard` and go! PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=NYhkqXpFAlg https://www.youtube.com/watch?v=Grg3Klnw5i8