Linux Mint
Ubuntu
Fedora
Manjaro
Arch Linux
Pop!_OS
Debian
elementary OS
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
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Figure Eight
Linux Minti have used about 2years linux mint and i really like it look and feel
Based on our record, Linux Mint should be more popular than NumPy. It has been mentiond 431 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.
Early on, I quickly found my home with Linux Mint and its Cinnamon desktop. As the saying goes, "You don't choose a Linux desktop; the desktop chooses you." Built on top of a stable foundation with a rich package infrastructure, Cinnamon provided a familiar experience that bridged the gap from Windows. - Source: dev.to / about 2 months ago
Linux Mint or Ubuntu cinnamon Desktop is less specialized, and has a GUI very similar to legacy Windows. https://ubuntucinnamon.org/ (recommended for new players) https://linuxmint.com/ (recommended for students) Ubuntu Desktop 24 LTS: Kernel 6.0.8 will work on older GPU/Laptop hardware, but OS will be deprecated in 2029 Ubuntu Desktop 26 LTS will be out in a few months: Will be supported till 2038, but note... - Source: Hacker News / 6 months ago
Linux Mint: Based on Ubuntu, Linux Mint provides a user-friendly experience with a focus on multimedia support. - Source: dev.to / 7 months ago
Https://linuxmint.com/ Every bad day for microsoft is anothe glorious day for linux. - Source: Hacker News / 7 months ago
That's literally like asking "What car has the best driving experience?". There is no one answer. If you want something that "just works," Linux Mint[1] is a great starting point. That gets you into Linux without any headache. Then, later when bored, you can branch out into the thousands[2] of Linux distributions that fill every possible niche [1] https://linuxmint.com/. - Source: Hacker News / 7 months ago
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch. - Source: dev.to / 10 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 11 months ago
AI starts with math and coding. You donโt need a PhDโjust high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Pythonโs syntax is straightforward. - Source: dev.to / about 1 year ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / over 1 year ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / almost 2 years ago
Ubuntu - Ubuntu is a Debian Linux-based open source operating system for desktop computers.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Fedora - Fedora creates an innovative, free, and open source platform for hardware, clouds, and containers that enables software developers and community members to build tailored solutions for their users.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Manjaro - Manjaro Linux is a linux distribution which is based on arch linux. It uses the PACMAN package manager.
OpenCV - OpenCV is the world's biggest computer vision library