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Home » Ebooks & Tutorials » Technical » Programming » Compiling Python from scratch with Github Codespaces | Pragmatic AI Solutions

Compiling Python from scratch with Github Codespaces | Pragmatic AI Solutions

12/07/2022 Tut4DL Leave a Comment


Compiling Python from scratch with Github Codespaces | Pragmatic AI Solutions
English | Size: 401.67 MB
Genre: eLearning

Learn 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”

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Programming Codespaces, GitHub, Python

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