#335: Gene Editing with Python
Gene therapy holds the promise to permanently cure diseases that have been considered life-long challenges. But the complexity of rewriting DNA is truly huge and lives in its own special kind of big-data world. On this episode, you'll meet David Born, a computational biologist who uses Python to help automate genetics research and helps move that work to production.
24 Sep 202158min
#334: Microsoft Planetary Computer
On this episode, Rob Emanuele and Tom Augspurger join us to talk about building and running Microsoft's Planetary Computer project. This project is dedicated to providing the data around climate records and the compute necessary to process it with the mission of help use all understand climate change better. It combines multiple petabytes of data with a powerful hosted Jupyterlab notebook environment to process it.
18 Sep 202159min
#333: State of Data Science in 2021
We know that Python and data science are growing in lock-step together. But exactly what's happening in the data science space in 2021? Stan Seibert from Anaconda is here to give us a report on what they found with their latest "State of Data Science in 2021" survey.
10 Sep 20211h 3min
#332: Robust Python
Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Patrick Viafore is here to help us write more maintainable, longer- lived, and more enjoyable Python code.
31 Aug 20211h 11min
#331: Meet the Python Developer in Residence: Lukasz Langa
Python is a technology and community built upon the goodwill and volunteer time of 1,000s of contributors from the core devs inside CPython to the authors of 100,000s of external packages on PyPI.
27 Aug 20211h 6min
#330: Apache Airflow Open-Source Workflow with Python
If you are working with data pipelines, you definitely need to give Apache Airflow a look. This pure-Python workflow framework is one of the most popular and capable out there. You create your workflows by writing Python code using clever language operators and then you can monitor them and even debug them visually once they get started. Stop writing manual code or cron-job based code to create data pipelines check out Airflow. We're joined by three excellent guests from the Airflow community: Jarek Potiuk, Kaxil Naik, and Leah Cole.
20 Aug 20211h 7min
#329: Geekout: Renewable Energy
We're back with another GeekOut episode. Richard Campbell, a developer and podcaster who also dives deep into science and tech topics, is back for our third GeekOut episode. This time around, we're diving into renewable energy, energy storage, and just what do we do to keep the lights on with our frying our beloved Earth?
13 Aug 202148min
#328: Piccolo: A fast, async ORM for Python (updated)
ORMs are one of the main tools to put first-class data access in the hands on non-SQL-loving developers and even for those who do love SQL, making them way more productive. When you hear about ORMs in Python, we often hear about either SQLAlchemy and Django ORM. And we should, they are great. But there are newer ORMs that take better advantage of modern Python.
8 Aug 202158min
