Tag Archives: tripython

TriPython January 2020 Meeting: Integrating a database migration framework

This talk will cover key considerations for replacing a bespoke or completely manual process for handling database migrations with a new process built around Alembic or Django migrations. Jeff will also show a few specific tricks he has collected for Alembic to support his current project. The talk will not replace the Alembic or Django […]

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TriPython February 2019 Meeting: It Asynchronous Make

Randy Barlow presents on the new asyncio standard library. Randy says, “If you are like me, you may have been stuck working with Python 2.7, staring over the fence at Python 3 and wishing you could use all the cool new stuff. Or maybe you couldn’t use Python 3 because electric eels keep stinging you whenever you try. Whatever the case may be, we’ll be talking in this session about the new asyncio library that was introduced in Python 3.4 and greatly enhanced with the async/await keywords in Python 3.5. Participants will get a high level overview of the library, and the concepts surrounding asynchronous programming. Maybe we’ll even make a fun toy program together, who knows? This would be a great talk to attend if you know Python but haven’t taken the time to explore this API.”

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TriPython January 2019 Meeting: Python Testing With PyTest

Tim Hopper will present PyTest. Tim says, “In this talk, I will introduce Pytest, a testing framework for Python (e.g. an alternative to unittest or Nose. Pytest is simple enough to allow you to start writing tests with zero boiler plate, but grows with your project into a powerful solution for even the most complex software projects.”

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TriPython Project Night

Chapel Hill Project Night meets on second Wednesdays. Have a project you want to show off, share, seek help with, or just get some work done surrounded by like-minded Python lovers? Join us for our monthly project night and do just that! Don’t have something to work on? Just need some help with Python? Show up and enjoy the energy, sprint on an open source project, find something interesting to contribute to or be inspired by!

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Dplyr-Style Data Manipulation With Pandas

In this talk, Ian Cook will discuss how to apply the tenets of R’s dplyr package (immutability, chaining, consistency, parsimony) when working with Python’s pandas library. In the R community, dplyr is the most widely used data manipulation package. dplyr provides a small, consistent set set of “verbs” (functions) that you can use to perform most common operations on R data frames.

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