4.8 • 635 Ratings
🗓️ 17 December 2019
⏱️ 58 minutes
🧾️ Download transcript
Click on a timestamp to play from that location
0:00.0 | We all love the Python language, but it's the 200,000 plus packages that actually make Python |
0:05.8 | incredibly useful and productive. |
0:08.8 | But installing these packages and even installing Python itself can vary across the different |
0:13.4 | platforms. |
0:14.7 | In particular, Windows has had a hard time. |
0:18.0 | Many of the library authors don't use Windows, and so they don't test their packages on that |
0:22.7 | platform. Tutorial authors often start their tutorial steps by activating a virtual environment. |
0:28.7 | That's great. That's the great first step, but it is usually source VE&V slash bin slash activate, |
0:34.8 | and that doesn't work on Windows. Yet over 50% of all developers programming |
0:39.7 | in Python do so on Windows. In this episode, we'll welcome back Steve Dower. He works at Microsoft |
0:45.6 | and is a Python core developer. He has a bunch of statistics around Python and Windows for us. |
0:51.5 | He also has tons of good news on how Python and Windows is getting |
0:54.8 | much better. This is Talk Python to Me. Episode 243 recorded on location at Microsoft Ignite |
1:01.8 | in Orlando, Florida, November 8, 2019. |
1:23.8 | Thank you. Welcome to Talk Python to me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities. |
1:27.5 | This is your host, Michael Kennedy. Follow me on Twitter where I'm at M. Kennedy. Keep up with a show and listen to past episodes at talk python.fm. |
1:31.9 | And follow the show on Twitter via at talk python. Hey everyone, Michael here. I'm excited to tell |
1:37.2 | you about our latest course. Yes, we just released one a week or two ago, but here's another. |
1:41.9 | This time, it's a nine-hour course called Python for the |
1:44.7 | dot-net developer. The idea is if you have experience with C-sharp and dot-net and would like |
1:49.7 | to get better at Python, we'll take a bunch of common applications from the dot-net space and |
1:54.4 | recreate them in Python. For example, we'll take a data-driven web app in ASP.net and |
... |
Please login to see the full transcript.
Disclaimer: The podcast and artwork embedded on this page are from Michael Kennedy, and are the property of its owner and not affiliated with or endorsed by Tapesearch.
Generated transcripts are the property of Michael Kennedy and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.
Copyright © Tapesearch 2025.