4.8 • 635 Ratings
🗓️ 24 June 2016
⏱️ 60 minutes
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0:00.0 | What is the most powerful part of the Python ecosystem? |
0:02.6 | Well, the ability to say PIP install magic library has to be right near the top. |
0:07.4 | But what powers the Python package index and who are the people behind it? |
0:11.6 | Did you know that they ship over 300 terabytes of traffic each month these days? |
0:16.9 | Join me as we chat with Donald Stuffed to look inside Python's packaging infrastructure. |
0:21.9 | This is Talk Python to Me, episode 64, recorded Wednesday, June 22nd, 2016. |
0:28.5 | I'm a developer, in many senses of the word, because I make these applications, but I also use these verbs to make this music |
0:38.4 | I constructed line by line just like when I'm coding another software design in both cases |
0:44.3 | it's about design patterns anyone can get the job done it's the execution that matters I have |
0:49.7 | many interests sometimes can reflect to talk python to me a weekly podcast on on Python, the language, the libraries, the ecosystem, and the personalities. |
0:58.8 | This is your host, Michael Kennedy. Follow me on Twitter where I'm at M. Kennedy. |
1:02.4 | Keep up with the show and listen to past episodes at TalkPython.fm and follow the show on Twitter via At Talk Python. |
1:09.2 | This episode has been brought to you by SnapCi and Rollbar. |
1:13.5 | Hey everyone, I have a really fabulous look inside the Python package index on deck for you. |
1:18.9 | Donald and I just scratched the service, but there are a ton of fascinating topics that we cover. |
1:23.2 | Before we get to our talk with Donald, I have one announcement for you. I've released my second |
1:27.1 | online course called Write Pythonic Code like a seasoned developer. |
1:30.5 | It's over four hours and 50 concrete examples of how you can write more Pythonic code. |
1:35.6 | It's jam-packed with tips that you can incorporate into your projects immediately. |
1:40.3 | Topics covered include the expansive use of dictionaries, hacking Python's memory usage via slots, |
1:45.0 | using generators to comprehensions and generate expressions, creating subsets of collections via slices all the way to the database, and much more. |
1:53.0 | Several of these topics are Python 3 only features, so you'll have even more reason to adopt Python 3 for your next project. |
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