Python devs, Don't miss this opportunity to Code with Joel!
Join Google Engineer & Startup Founder, Joel, for this Python & Machine Learning livestream!
It was awesome to host Google Software Engineer and Flossbank creator, Joel Wasserman, for this fun interactive event! Joel built a Python App live with HarperDB and trained a simple Machine Learning model on the data. He used the SciKit-learn Python package to train an ML model that predicts whether it's safe to go skydiving based on weather reports.
- Watch the livestream
- Create a free HarperDB account to code along with Joel
- Joel's GitHub Repo
- Python SDK
This event is for developers of any skill level and will help you sharpen your Python and Machine Learning skills, as well as app development and general database knowledge. The demo was followed by Q&A with Joel and the HarperDB leadership team, so we recommend watching until the end!
Joel Wasserman is a Software Engineer at Google based in Seattle. He also recently founded Flossbank, a platform that allows developers to monetarily give back to open source, distributing the money back to the authors and maintainers based on “distributed revenue sharing”.
Joel is passionate about coding and giving back to the community both online and offline. In his spare time, he loves talking about economics, politics and all sports.
HarperDB is a distributed database focused on making data management easy. It has an easy to use REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces so that you can use the reporting and analysis tools that best meet your needs. Great for use cases where you need rapid application development, integration, edge computing, distributed computing, and real-time operational analytics. Check out the Python SDK Joel used, learn more about HarperDB's technology, or read our other articles.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Great for rapid app development, and as a scripting or glue language to connect existing components together. Python supports modules and packages, which encourages program modularity and code reuse. For more resources, check out these frameworks in Python by akerele oluwabamikemi atinuke or basics of Python in a nutshell by Suraj Verma.