Python Bytes
En podkast av Michael Kennedy and Brian Okken
Kategorier:
405 Episoder
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#25 Could we have more in-database machine learning please?
Publisert: 12.5.2017 -
#24 I have a local PyPI server and so do you!
Publisert: 3.5.2017 -
#23 Can you grok the GIL?
Publisert: 26.4.2017 -
#22 PYTHONPATH considered harmful
Publisert: 18.4.2017 -
#21 Python has a new star framework for RESTful APIs
Publisert: 13.4.2017 -
#20 Finding similar but not identical images in 128 bits via Python
Publisert: 5.4.2017 -
#19 Put your Python dictionaries in a box and apparently Python is really wanted
Publisert: 27.3.2017 -
#18 Python 3 has some amazing types and you can now constructively insult your shell!
Publisert: 21.3.2017 -
#17 Google's Python is on fire and Simon says you have CPU load Pythonically
Publisert: 18.3.2017 -
#16 Postmodern Python and Open-source Financial Awards
Publisert: 7.3.2017 -
#15 Digging into Python packaging
Publisert: 28.2.2017 -
#14 Lots of Python style and Python 3000 is 3000 days old
Publisert: 22.2.2017 -
#13 Python making the move to GitHub and Dropbox is stepping back from Pyston
Publisert: 14.2.2017 -
#12 Expanding your Python mental model and serving millions of requests per second with Python
Publisert: 7.2.2017 -
#11 Django 2.0 is dropping Python 2 entirely, pipenv for profile functionality, and Pythonic home automation
Publisert: 31.1.2017 -
#10 Dismissing Python's Garbage Collection, PyPI Name Reservations, and Hackers Exfiltrate US Government Data to Save Itself
Publisert: 23.1.2017 -
#9 Walking with async coroutines, diving deep into requests, and a universe of options (for AIs)
Publisert: 17.1.2017 -
#8 Python gets Grumpy, avoiding burnout, Postman for API testing and more
Publisert: 10.1.2017 -
#7 Python 3.6 is out, Sanic is a blazing web framework, and are failing our open source infrastructure?
Publisert: 4.1.2017 -
#6 Python 3.6 is going to be awesome, Kite: your friendly co-developing AI
Publisert: 12.12.2016
Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short discussion on the headlines and noteworthy news in the Python, developer, and data science space.