DO YOU YAML?

This page summarizes the projects mentioned and recommended in the original post on dev.to

Scout Monitoring - Free Django app performance insights with Scout Monitoring
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • strictyaml

    Type-safe YAML parser and validator.

  • 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)

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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  • www.yaml.org

    The yaml.org website

  • The official YAML Web Site

  • examples

    TensorFlow examples (by tensorflow)

  • 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

  • CPython

    The Python programming language

  • 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

  • NumPy

    The fundamental package for scientific computing with Python.

  • 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

  • Keras

    Deep Learning for humans

  • 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

  • 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?:

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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