Obsidian.md
Notion
Logseq
Joplin
Roam Research
Evernote
Standard Notes
TiddlyWiki
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Obsidian.md Scikit-learnPerhaps you know someone who swears by Obsidian, it may seem like a cult of overly devoted people for how passionate they are, but it's not without reason
I've been using Obsidian for over 3 years, at a point in my life when I felt I had to handle too much information and I felt like grasping water not being able to remember everything I wanted, language learning, programming, accounting, university, daily tasks. A friend recommended it to me next to Notion (of which he is a passionate cultist priest) and I reluctantly picked it and fell in love almost immediately.
Obsidian seems very simple, like a notepad with folder interface, similar to Sublime Text, but the ability to link files together in a Wiki style allows you to organize ideas in any way you want, one file may lead to a dozen or more ideas that are related
If you want to do something specific, Obsidian has a plethora of community created plugins that expand the functionality, in my case, I use obsidian to organize my classes both as a teacher and as a student, using local databases, calendars, dictionaries, slides, vector graphic drawings, excel-like tables, Anki connection, podcasts, and more
I've been using Obsidian for more than a year. It's been great. I think it offer a great balance of control, flexibility and extensibility. What is more, you own your own data, that's been a must-have feature for me. I just can't imagine putting all my knowledge into something that I don't have control over.
I think two of the most popular alternatives that people consider are Logseq and Roam Research. Although Logseq is a bit different, it's considered compatible with Obsidian. Supposedly, you can use them with a shared database (files. Both use simple text files for storage). I tried that once, a few months ago. It worked, yet it messed up a bit my Obsidian files ยฏ_(ใ)_/ยฏ.
Based on our record, Obsidian.md seems to be a lot more popular than Scikit-learn. While we know about 1520 links to Obsidian.md, we've tracked only 40 mentions of Scikit-learn. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Install Obsidian: Download the client from obsidian.md and create a local Vault โ just a local folder. - Source: dev.to / 8 days ago
Obsidian (https://obsidian.md/) Honestly its not huge and most are probably obvious, but those are what I immediately install on my machines. - Source: Hacker News / 12 days ago
A place to store the feedback - I keep mine in an Obsidian vault, organised by type (interviewing, facilitation) and date. This makes trend tracking trivial. - Source: dev.to / 28 days ago
Option 2: Dedicated markdown app.Typora, Obsidian, or similar. Better editing experience, but now you're context-switching between your code editor and your docs editor. Copy-pasting paths, losing mental context, duplicating effort. - Source: dev.to / about 1 month ago
Obsidian is the storage. A desktop app that opens any folder of markdown files and adds links, search, and a graph view on top. Your files stay on your disk. No cloud unless you turn it on, no proprietary database, no export step. If you want your notes back, you already have them. - Source: dev.to / about 1 month ago
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
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
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
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
In practice, youโll 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
Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Logseq - Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.
NumPy - NumPy is the fundamental package for scientific computing with Python
Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.
OpenCV - OpenCV is the world's biggest computer vision library