#399: Monorepos in Python

#399: Monorepos in Python

Monorepos are contrary to how many of us have been taught to use source control. To start a project or app, the first thing we do is create a git repo for it. This leads to many focused and small repositories. A quick check of my GitHub account shows there are 179 non-fork repositories. That's a lot but I think many of us work that way. But it's not like this with monorepos. There you create one (or a couple) repositories for your entire company. This might have 100s or 1,000s of employees working on multiple projects within the single repo. Famously, Google, Meta, Microsoft, and Airbnb all employ very large monorepos with varying strategies of coordination.

Avsnitt(525)

#334: Microsoft Planetary Computer

#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

#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

#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

#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

#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

#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)

#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

#327: Little Automation Tools in Python

#327: Little Automation Tools in Python

You've heard me talk to wide cast of people building amazing things with Python. Some of them are building bio-reactors to remove carbon from the air with AI and Python. Others are optimizing aerodynamics and race strategy at the highest levels of automobile racing. This episode is different. Rather than seeing how far we can push Python to the edges of technology, we are diving in to the tiny Python applications that might never be released publicly and yet can transform our day to day lives with simple automation on an individual level.

30 Juli 20211h 5min

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