In this podcast, we'll take a look at the people, technology, and culture behind one of the world's most powerful and important computing platforms, the Mainframe. Expect interviews, discussions, and interesting tidbits along the way, with your hosts, Frank and Jeff.
Lili Tang may only have two years working in Z, but she’s already ripping through everything the platform has to offer. This episode is all about how data science works on mainframes.
Fund Our New Studio!! - http://ibm.biz/newstudio
IzODA - https://izoda.github.io
IBM Z Technical University - Washington D.C. - https://www-01.ibm.com/events/wwe/systu/systu17dc.nsf/Registration.xsp
0:00 A quick favor
5:13 The daily duties of a Part-Time Data Scientist
8:16 A boatload of Data Science packages
9:32 Marrying on-platform and off-platform data
10:47 Yeah, but where's your terminal?
12:27 Getting Pandas from Anacondas
15:03 How 'bout some demos?
17:17 Choosing the correct tools
19:09 What about Math? I heard there's math involved
22:36 Model Determination
24:24 A fast-moving career
27:11 I get analytics, buy why on Z?
28:47 Shameless Plug Time
Categories | Uncategorized
Filetype: MP3 - Size: 14.41MB - Duration: 31:17 m (64 kbps 44100 Hz)