Rectangle
Magnet Window Manager
yabai
BTT Remote
Moom
Homebrew
AppCleaner
iTerm2
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
Rectangle PandasRectangle is recommended for macOS users looking for a straightforward, lightweight solution to manage application windows. It is particularly beneficial for those who frequently work with multiple applications at once, including developers, designers, and anyone who values a tidy and organized desktop environment.
Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Rectangle should be more popular than Pandas. It has been mentiond 479 times since March 2021. 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.
As a both old Linux and now decade user of MacOS, after I got used to no middle-click paste and no focus-follows-mouse: 1. Keyboard shortcuts are Emacs, Ctrl-A: start of line, E: end of line, K: kill selected or to end of line, Y to paste, etc. https://support.apple.com/en-au/102650#text 2. Karabiner elements (FOSS) fixes keyboard mappings outside of the Settings: https://karabiner-elements.pqrs.org/ 3. I have the... - Source: Hacker News / 4 months ago
Every macOS user uses Rectangle.app โ https://rectangleapp.com The ones who don't use it is because they donโt know it exists. - Source: Hacker News / 4 months ago
I use https://rectangleapp.com/ and enjoy it. I have shortcuts to move windows to the left/right half of the screen, and cycle between monitors. This, combined with native cmd+tab and cmd+` is enough for me. - Source: Hacker News / 4 months ago
Rectangle [1] is pretty much essential for me because of this. I use only a few keypresses (maximize window, move to one of the halves of the screen horizontally) but that is enough. My mouse very rately interacts with the borders of any window, or those buttons. I had to click on the green one that you mentioned in order to see what it did (yuck). [1] https://rectangleapp.com/. - Source: Hacker News / 5 months ago
I use Rectangle [1] for window management. I only use three shortcuts: full screen, left half of the screen, and right half of the screen. My editors and chrome are always running in one of these modes. But for other apps like Messages, Notes, Music, etc - yeah I don't usually expand them to full screen. [1] https://rectangleapp.com/. - Source: Hacker News / 5 months ago
Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain aligned. Tools such as Pandas, Spark, or feature platforms such as Feast can be used to implement that logic. - Source: dev.to / 2 months ago
For early-career security practitioners (0-3 years). Start with Python literacy if you do not have it. The free Python Crash Course book and the pandas getting-started guide are enough to bootstrap. Then a hands-on applied course: GTK Cyber's Applied Data Science & AI for Cybersecurity and SANS SEC595 are both reasonable starting points. The goal at this stage is to be able to load a Zeek conn.log into a pandas... - Source: dev.to / 3 months ago
Python and data engineering for security data. Pandas for ingesting Zeek, Sysmon, EDR, and SIEM exports. Timestamp normalization to UTC, join keys across heterogeneous sources, feature extraction from raw logs. Without this layer, the ML content downstream is theater. - Source: dev.to / 3 months 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 / 3 months ago
Pandas url is the most widely used library for data manipulation. - Source: dev.to / 3 months ago
Magnet Window Manager - Magnet Developers
NumPy - NumPy is the fundamental package for scientific computing with Python
yabai - A tiling window manager for macOS based on binary space partitioning
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
BTT Remote - A remote control for you Mac, using your iPhone or iPad
OpenCV - OpenCV is the world's biggest computer vision library