Python for AI #1: Dev Environment Setup

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Python for AI Development Course #1: In the first lesson you'll learn how to set up your development environment for AI:

00:00 - Intro
02:16 - Install Python
04:31 - Anaconda/Miniconda Setup
07:18 - Manage environments and packages with conda & pip
11:54 - VS Code Setup
17:58 - Notebooks/Colab Setup

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Комментарии
Автор

I was searching for a good tutorial that would help me A-Z create a virtual environment. Thanks, Patrick. You did a great job.

lxrfuqp
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i feel like every time i revisit python projects i wind up reinstalling venv or conda from scratch. i hope after this video i'm all set with conda 🤞

starpause
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Hi Patrick, this is an amazing tutorial and I thank You for this guys... but with visual code it doesn't recognise conda activate/deactivate... But it works fine if I use the win terminal cmd (I am refering to the numpy library example)

alessandrozoppi
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great video.. but setting up venv is more complicated than the AI stuff. :) stick with colab... great video ...

ttaylor
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Exactly what I needed. Well explained. One question (maybe I missed this in the video) but what is the relation between the environment versus the folder on your computer. Or in other words, in which folder the files created within environment are stored?

rmjjanssen
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Good Explanation Vid keep it up, thanks

watchmen
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thank you but after I install ipykernel i get Running cells with 'tensorflow' requires the ipykernel package.
Run the following command to install 'ipykernel' into the Python environment.
Command: 'conda install -n tensorflow ipykernel --update-deps --force-reinstall'. I ran code and still get. do you know my issue.

neves
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I cannot recommend the Series. You will spend a lot of time, and the explanation is fine, but sadly it just ends in the middle of nowhere in part 3.

metanulski