GitHub Reviews

1. Reinhard

   | Boss at CLOUD Meister | over 3 years ago
   perfect 4 open Source

NumPy Reviews

GitHub mentions (2080)

• Figma Config 2024

  Another standout talk for me was from GitHub, which discussed challenges with its design system, Primer. They went into detail about how organisational changes have altered the course of its development and how they've had to adjust to the needs of the business over time to adapt and grow. As an engineering lead, I really resonated with this talk. - Source: dev.to / 1 day ago

• OpenSSH Race condition resulting in potential remote code execution

  I have a script that looks at your github org/team and generates/updates users on-demand then lets you connect. The script is pretty straightforward, see AuthorizedKeysCommand and https://github.com/{$user}.keys. - Source: Hacker News / 1 day ago

• How to Force GitHub Actions to Light Theme Using Tampermonkey

  // ==UserScript== // @name Remove data-dark-theme attributes // @namespace http://tampermonkey.net/ // @version 2024-06-23 // @description Remove data-dark-theme attributes from GitHub Actions console // @author masayoshi haruta // @match https://github.com/*/*/actions/runs/* // @icon https://www.google.com/s2/favicons?sz=64&domain=github.com // @grant none //... - Source: dev.to / 4 days ago

• How to Build and Manage a High-Performing Software Development Team?

  Clear communication and access to cloud-based collaboration tools are essential components of successful remote team management. Tools like GitHub for code repositories, Slack for communication, and Zoom for meetings ensure that our team remains cohesive and coordinated despite the physical distances. - Source: dev.to / 7 days ago

• CodeConductor.AI vs. Microsoft AutoDev: Which Will Transform Your Coding Career?

  Leveraging the robust infrastructure of Microsoft, AutoDev integrates seamlessly with tools like Azure, Visual Studio, and GitHub. - Source: dev.to / 7 days ago

NumPy mentions (112)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 19 days ago

• Documenting my pin collection with Segment Anything: Part 3

  NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 19 days ago

• Awesome List

  NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 24 days ago

• NumPy for Beginners: A Basic Guide to Get You Started

  This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 26 days ago

• 2 Minutes to JupyterLab Notebook on Docker Desktop

  Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago