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YAML stands for "YAML Ain’t Markup Language" - this is known as a recursive acronym. YAML is often used for writing configuration files. It’s human readable, easy to understand and can be used with other programming languages. Although YAML is commonly used in many disciplines, it has received criticism on the amoutn of whitespace .yml files have, difficulty in editing, and complexity of the standard. Despite the criticism, properly using YAML ensures that you can reproduce the results of a project and makes sure that the virtual environment packages play nicely with system packages. (If you're looking for another way to share environments there are other alternatives to YAML which include StrictYAML (a type-safe YAML parser) and NestedText)
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The official YAML Web Site
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The M2 MacBook gave me some challenges when trying to work with TensorFlow and Keras due to some fancy chip architecture which you can read about here: TensorFlow with GPU support on Apple Silicon Mac with Homebrew and without Conda / Miniforge
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If you want to start a project from scratch, I prefer to start with a very basic virtual environment and add the packages I need as I go along. My basic framework usually consists of: Python NumPy Pandas MatplotLib & sometimes Seaborn
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If you want to start a project from scratch, I prefer to start with a very basic virtual environment and add the packages I need as I go along. My basic framework usually consists of: Python NumPy Pandas MatplotLib & sometimes Seaborn
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If you’re looking for further resources on running TensorFlow and Keras on a newer MacBook, I recommend checking out this YouTube video: How to Install Keras GPU for Mac M1/M2 with Conda
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Puts Debuggerer
Ruby library for improved puts debugging, automatically displaying bonus useful information such as source line number and source code.
So where is that YAML file on GitHub and what do I do with it?:
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Sonar
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