#44: Project Jupyter and IPython

#44: Project Jupyter and IPython

One of the fastest growing areas in Python is scientific computing. In scientific computing with Python, there are a few key packages that make it special. These include NumPy / SciPy / and related packages. The one that brings it all together, visually, is IPython (now known as Project Jupyter). That's the topic on episode 44 of Talk Python To Me.

Avsnitt(543)

#288: 10 tips to move from Excel to Python

#288: 10 tips to move from Excel to Python

Excel is one of the most used and most empowering piece of software out there. But that doesn't make it a good fit for every data processing need. And when you outgrow Excel, a really good option for ...

31 Okt 20201h 3min

#287: Testing without dependencies, mocking in Python

#287: Testing without dependencies, mocking in Python

We know our unit tests should be relatively independent from other parts of the system. For example, running a test shouldn't generally call a credit card possessing API and talk to a database when yo...

21 Okt 20201h 3min

#286: Python and ML at NASA Jet Propulsion Laboratory (JPL)

#286: Python and ML at NASA Jet Propulsion Laboratory (JPL)

NASA's Jet Propulsion Laboratory (JPL)'s primary function is the construction and operation of planetary robotic spacecraft, though it also conducts Earth- orbit and astronomy missions. It is also res...

16 Okt 20201h 7min

#285: Dask as a Platform Service with Coiled

#285: Dask as a Platform Service with Coiled

If you're into data science, you've probably heard about Dask. It's a package that feels like familiar APIs such as Numpy, Pandas, and Scikit-Learn. Yet it can scale that computation across CPU cores ...

9 Okt 20201h 11min

#284: Modern and fast APIs with FastAPI

#284: Modern and fast APIs with FastAPI

As Python 3 has eclipsed the old constrains of Python 2 and web frameworks that adopted them, we have seen a big jump in new frameworks appearing on the scene taking full advantage of things like type...

4 Okt 20201h 6min

#283: Web scraping, the 2020 edition

#283: Web scraping, the 2020 edition

Web scraping is pulling the HTML of a website down and parsing useful data out of it. The use-cases for this type of functionality are endless. Have a bunch of data on governmental sites that are only...

23 Sep 202048min

#282: pre-commit framework

#282: pre-commit framework

Git hook scripts are useful for identifying simple issues before committing your code. Hooks run on every commit to automatically point out issues in code such as trailing whitespace and debug stateme...

17 Sep 202059min

#281: Python in Car Racing

#281: Python in Car Racing

I love to bring you stories of Python being used in amazing places outside the traditional tech silos of pure web development and data science. On this episode, you'll meet Robert "Kane" Replogle, wh...

9 Sep 20201h

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