Serializer.io Reviews

NumPy Reviews

Serializer.io mentions (5)

• The way I limit my social media consumption

  Two things that changed my life: (1) https://serializer.io/ to read HN. It shows the top list in a way that lets you mark all as read. If I check it too often, it just shows all posts as read because they are. Simple and brilliant. (2) iOS Automation Shortcut starts a 9 minute timer when I open twitter or Instagram. The automation system also puts up a toast popup telling me about the timer. The popup alone helps... - Source: Hacker News / 9 months ago

• I don't want to go back to social media

  > On HN, the filtering is done by others (mostly: you can filter by “Show HN”, “Ask HN”, new, etc.) That's why I read HN via Serializer (disabled all other websites), because I don't really wanna curated HN homepage from certain brigades and I wanna choose what I read and what _I_ find interesting. You can also get your individual URL to share across devices, which I find very useful. https://serializer.io/. - Source: Hacker News / over 1 year ago

• Cancel This App Update, Dammit!

  My morning routine hasn't changed over the years. I'll scan serializer.io, get the kids ready, work out, eat breakfast, shower, and flip open the work notebook. Then I'll be a few goddamned minutes late to the first team meeting of the day. - Source: dev.to / almost 2 years ago

• Tell HN: Thank You for the Noprocrast Flag

  If you're a fan of the noprocrast flag, I'll also recommend reading HN through https://serializer.io/ which shows you only what's new on the top list since you last visited. It lets you "clear" HN much faster and helps you avoid burning another 20 minutes reading threads you've already read. I'm not affiliated with serializer but it's totally changed my life. - Source: Hacker News / over 2 years ago

• Are there any more interesting subreddits like ExperienceDevs?

  Have so far found a good aggregator for HackerNews, Reddit, Lobste, MacRumors and Ars Technica. Source: over 2 years 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 / 13 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 / 13 days ago

• Awesome List

  NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 19 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 / 21 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