MARC Bibliographic Record

LEADER02416cgm a22003737i 4500
001 991023321010302122
005 20230620024315.0
006 m o c
007 vz czazuu
007 cr cnannnuuuuu
008 220627s2022 xx 019 o vleng d
024 8_ $a062212022VIDEOPAIML
035    $a(CaSebORM)062212022VIDEOPAIML
035    $a(CKB)5720000000009801
035    $a(OCoLC)1333220205
035    $a(OCoLC-P)1333220205
035    $a(EXLCZ)995720000000009801
040    $aOCoLC-P$beng$erda$epn$cOCoLC-P
050 _4 $aQA76.73.P98
082 04 $a005.26/2$223/eng/20220627
245 00 $aCompiling Python from scratch with Github Codespacest.
250    $a[First edition].
264 _1 $a[Place of publication not identified] :$bPragmatic AI Solutions,$c[2022]
300    $a1 online resource (1 video file (19 min.)) :$bsound, color.
336    $atwo-dimensional moving image$btdi$2rdacontent
337    $acomputer$bc$2rdamedia
338    $aonline resource$bcr$2rdacarrier
588    $aOCLC-licensed vendor bibliographic record.
520    $aLearn to install Python from scratch with Github Codespaces. Also learn to use Github Copilot with Ludwig. 00:00 Intro 01:09 Create new Github Repository 01:58 Create new Github Codespace with 16 cores 02:62 Configure Visual Studio Code Dark Theme 03:47 apt-get update and apt-get install python development tools 04:32 Using htop to monitor multi-core load 05:13 downloading python from www.python.org 05:45 Installing python from source 06:40 ./configure --enable-optimizations 07:28 Compiling python with multi-core flag make -j 16 09:24 Finishing install with sudo make altinstall 10:07 Replacing system python by using the newly installed python with ~/.bashrc alias 11:07 Creating virtualenv and sourcing it inside of ~/.bashrc 12:22 Create project scaffold with requirements.txt and Makefile 12:00 Installing ludwig with make install command 13:53 Install Github Copilot 14:29 Commit code and setup Github Actions 17:41 Test out Github Copilot auto-complete with "ludwig".
650 _0 $aPython (Computer program language)
650 _0 $aComputer programming.
700 1_ $aGift, Noah,$eauthor.
710 2_ $aPragmatic AI Solutions (Firm),$epublisher.
906    $aVIDEO

MMS IDs

Document ID: 9913563528102121
Network Electronic IDs: 9913563528102121
Network Physical IDs:
mms_ec_ids: 99925665318102134
mms_mad_ids: 991023321010302122