#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)

#392: Data Science from the Command Line

#392: Data Science from the Command Line

When you think data science, Jupyter notebooks and associated tools probably come to mind. But I want to broaden your toolset a bit and encourage you to look around at other tools that are literally a...

2 Dec 20221h 11min

#391: Pyscript powered by MicroPython

#391: Pyscript powered by MicroPython

No Python announcement of 2022 was met with more fanfare than pyscript. This project, announced at PyCon 2022, allows you to write Python files and run them in your browser in place of JavaScript or e...

29 Nov 20221h 11min

#390: Mastodon for Python Devs

#390: Mastodon for Python Devs

Wondering what Mastodon is all about? More importantly, what does it offer Python developers and other open source folks compared to Twitter? There is a huge amount of interest in the tech community a...

15 Nov 20221h 8min

#389: 18 awesome asyncio packages in Python

#389: 18 awesome asyncio packages in Python

If you're a fan of Python's async and await keywords and the powers they unlock, then this episode is for you. We have Timo Furrer here to share a whole bunch of asyncio related Python packages. Timo ...

9 Nov 202257min

#388: Python 3.11 is here and it's fast

#388: Python 3.11 is here and it's fast

Python 3.11 is here! Keeping with the annual release cycle, the Python core devs have released the latest version of Python. And this one is a big one. It has more friendly error messages and is massi...

2 Nov 20221h 6min

#387: Build All the Things with Pants Build System

#387: Build All the Things with Pants Build System

Do you have a large or growing Python code base? If you struggle to run builds, tests, linting, and other quality checks regularly or quickly, you'll want to hear what Benjy Weinberger has to say. He'...

27 Okt 20221h 7min

#386: Realtime Web Apps and Dashboards with H2O Wave

#386: Realtime Web Apps and Dashboards with H2O Wave

Python's data science and data visualization capabilities are certainly one of the reasons for Python's meteoric rise over the past 10 years. But often thens visuals have been corralled into notebooks...

19 Okt 20221h 5min

#385: Higher level Python asyncio with AnyIO

#385: Higher level Python asyncio with AnyIO

Do you love Python's async and await but feel that you could use more flexibility and higher-order constructs like running a group of tasks and child tasks as a single operation, or streaming data bet...

15 Okt 202259min

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