Michael Kennedy
Talk Python To Me
Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
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Autor
Michael Kennedy
Kategoria
Strona podcastu
Ostatni odcinek
10 lip 2026
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Odcinki
#52: EVE Online: MMO game powered by Python 27.03.2016 54:35
See the full show notes for this episode on the website at talkpython.fm/52
#51: SigOpt: Optimizing Everything with Python 21.03.2016 37:50
See the full show notes for this episode on the website at talkpython.fm/51
#50: Web scraping at scale with Scrapy and ScrapingHub 15.03.2016 58:17
See the full show notes for this episode on the website at talkpython.fm/50
#49: Microsoft's JIT-based Python Project: Pyjion 08.03.2016 1:03:45
See the full show notes for this episode on the website at talkpython.fm/49
#48: Building Flask-based Web Apps 01.03.2016 49:08
See the full show notes for this episode on the website at talkpython.fm/48
#47: Python in Typeface and Font Development 23.02.2016 44:39
See the full show notes for this episode on the website at talkpython.fm/47
#46: Python in Movies and Entertainment 16.02.2016 57:13
See the full show notes for this episode on the website at talkpython.fm/46
#45: The Python Testing Column, Now a Thing 09.02.2016 58:49
See the full show notes for this episode on the website at talkpython.fm/45
#44: Project Jupyter and IPython 02.02.2016 1:00:11
See the full show notes for this episode on the website at talkpython.fm/44
#43: Monitoring high performance Python apps at Opbeat 26.01.2016 39:33
See the full show notes for this episode on the website at talkpython.fm/43
#42: Python in Startups and Investing 19.01.2016 54:38
See the full show notes for this episode on the website at talkpython.fm/42
#41: Getting your first dev job as a Python developer (part 2) 12.01.2016 52:17
See the full show notes for this episode on the website at talkpython.fm/41
#40: Top 10 Data Science Stories from 2015 29.12.2015 59:19
See the full show notes for this episode on the website at talkpython.fm/40
#39: Getting your first dev job as a Python developer (part 1) 22.12.2015 50:44
See the full show notes for this episode on the website at talkpython.fm/39
#38: Continuous Integration and Delivery at Codeship 15.12.2015 1:02:50
See the full show notes for this episode on the website at talkpython.fm/38
#37: Python Cybersecurity and Penetration Testing 08.12.2015 1:04:02
See the full show notes for this episode on the website at talkpython.fm/37
#36: Python IDEs with the PyCharm team 01.12.2015 59:43
See the full show notes for this episode on the website at talkpython.fm/36
#35: Turbogears and the future of Python web frameworks 24.11.2015 1:01:15
See the full show notes for this episode on the website at talkpython.fm/35
#34: Continuum: Scientific Python and The Business of Open Source 17.11.2015 59:52
See the full show notes for this episode on the website at talkpython.fm/34
#33: OpenStack: Cloud computing built on Python 10.11.2015 56:37
See the full show notes for this episode on the website at talkpython.fm/33
#32: PyPy.js - PyPy Python in Your Browser 03.11.2015 59:12
See the full show notes for this episode on the website at talkpython.fm/32
#31: Machine Learning with Python and scikit-learn 27.10.2015 49:19
See the full show notes for this episode on the website at talkpython.fm/31
#30: Python Community and Python at Dropbox 20.10.2015 46:53
See the full show notes for this episode on the website at talkpython.fm/30
#29: Python at the Large Hadron Collider and CERN 13.10.2015 52:10
See the full show notes for this episode on the website at talkpython.fm/29
#28: Making Python Fast: Profiling Python Code 06.10.2015 50:09
See the full show notes for this episode on the website at talkpython.fm/28
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