Signal Reviews

NumPy Reviews

Signal mentions (180)

• WhatsApp forces Pegasus spyware maker to share its secret code

  Just so you know: https://grapheneos.org/ and https://signal.org/ do exist! - Source: Hacker News / 4 months ago

• What are you shocked people are still doing nowadays?

  Signal works the same but without the user tracking from Meta/Facebook. Many people use it as well but I'm surprised that a majority sticks to WhatsApp. Source: 7 months ago

• A Practical Guide For Safety And Reporting Crimes For Our Community

  A question I often get is "Well are my text messages safe" The short answer is... Maybe? Depends on what type of phone you use, your carrier, and a bunch of other factors. One way to avoid this is to use an end-to-end encrypted text service like Signal if that is a concern of yours. VERY IMPORTANT NOTES: Telegram and WhatsApp are not secure. The way to think of this security is that if is retained by a server... Source: 7 months ago

• Signal Public Username Testing (Staging Environment)

  The linked page is on signalusers.org, but Signal's regular home site is https://signal.org/. I'm looking all over signal.org for some link from there to signalusers.org, as that would make me more relaxed about the authenticity of the latter -- i.e., that it really is run by the same people who run signal.org. Yes, maybe I'm being paranoid. But we're talking about an app whose whole purpose is secure... - Source: Hacker News / 8 months ago

• Breaking Global Communication Barriers

  WhatsApp and Signal: Of course I’m going to conclude with the point to point encrypted communication apps Signal and WhatsApp. Most of our clients around the world communicate in these apps more than they make phone calls or send emails. Set up an account in each app and start leveraging the text, photo, phone and video features to have easy and fast conversations with your global contacts. See https://signal.org... Source: about 1 year 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 / 23 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 / 23 days ago

• Awesome List

  NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 29 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 / about 1 month 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