Day One Reviews

1. Elizabeth Howard

   · Writer at Elizabeth Howard Digital Marketing · about 4 years ago
   I live in Day One

   I have been using Day One since it was in beta. I am a writer and digital content specialist so I do a lot of writing. Day One has grown in capability and beauty since its inception -- I use it more and more everyday.

   To be frank, I tried to use EverNote but found to cumbersome and a bit much. For my mind, Day One provided the perfect palelette for me to sit down and write anything -- the tag it, or easily move it to another journal. It allows up to 10 journals, one of which I have synced to my Instagram, as I like to keep a record of what I post there.

   If you are writing daily, doing Morning Pages, if you blog and need a place to work on drafts, Day One's set up is so easy. It syncs over the cloud to your phone (I'm on Apple products, recognizes voice to text smoothly and allows images to be easily drag and dropped.

   The interface with tagging could be slightly more intuitive but the team is constantly doing updates and I am sure that will be worked out soon.

   I love it and recommend it to anyone writing.

   🏁 Competitors: Evernote, Scrivener, Microsoft Word, Google Docs

   👍 Pros:    Intuitive|Beautiful search experience|Instagram|Easy user interface|Inexpensive|Great for writers|Great value for the money

   👎 Cons:    Tagging needs to be made easier

Scikit-learn Reviews

Day One mentions (32)

• Show HN: Text Lambda, a versatile notebook for your personal data

  Well done! it’s cross platform. I can see this be used as a geek-friendly Day One [1]. [1] https://dayoneapp.com/. - Source: Hacker News / over 2 years ago

• Looking for a windows app

  Have you tried dayoneapp.com - its been a long time since I used it, it's more of an iOS app than Windows but I think it works on the web. Source: over 2 years ago

• desperate for help

  I journal on and off but I find it difficult to get myself to make it stick as a habit. Physical journaling is tough sometimes because I'm not home etc etc... But I'm thinking of trying out the Day One journal. Source: about 3 years ago

• Apple’s new journaling app turns your iPhone into a digital diary

  There’s been journaling apps since iPhone came out, like the excellent Day One. Source: about 3 years ago

• What laptop and apps do you use to write?

  For general diary writing, I use Day One. It's clean, easy to use, and has no frills. You just...write. When I got it, it was one price but now it's a subscription for $2.99 a month. Source: about 3 years ago

Scikit-learn mentions (40)

• Detecting Ingress Tool Transfer (T1105) with Python

  Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago

• Best AI Cybersecurity Training for Security Teams: How to Pick

  Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago

• Where to Get Hands-On AI Training for Cybersecurity Professionals

  Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago

• How Anomaly Detection Actually Works in Security Operations

  Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago

• Building a Personalized Meal Recommendation System

  In practice, you’ll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago