I got to know Raylib just a few days ago taking a course on learning C++ to start using Unreal Engine. I have a background with assembler(a long time ago), Python/Pygame, C#/Monogame, and Unity/C#. Within the few days I used it, I am simply blown away by the simplicity but yet extremely powerful Raylib library. The routines and functions are very clear and access is very simple. Everything is well documented. I am yet to go in-depth with the library but I never had such an experience in the past building games, which is my main interest. If you stumbled upon this by chance stop and give it a go. You'll never regret it. Right now I am thinking of the many ways I can use this with the languages I know.
Based on our record, NumPy seems to be a lot more popular than raylib. While we know about 108 links to NumPy, we've tracked only 6 mentions of raylib. 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.
It sounds like you're maybe asking for code frameworks/libraries instead of engines? Something like https://raylib.com/ might be better suited? Source: over 1 year ago
I would recommend SFML or Raylib, they're both excellent and fairly easy to set up, plus have really good documentation. And if you decide to really dig into them you'll eventually be able to create any game you want. Source: over 1 year ago
I'd also recommend raylib as an option. Check out its website: http://raylib.com/. It is beginner friendly enough with good cheatsheet and examples. Source: almost 2 years ago
Finally, you can use raylib.com , a C library but it has a great interface and multiple examples. Howeve, it is not wide-spread like SDL. Source: almost 3 years ago
The easiest option is C# and Unity, even though I think at some point (if you want to experience real programming) you'd better off using a framework. Source: almost 3 years ago
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 / 9 months ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
SFML - SFML provides a simple interface to the various components of your PC, to ease the development of games and multimedia applications. It is composed of five modules: system, window, graphics, audio and network.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Vulkan - Vulkan is a new generation graphics and compute API that provides high-efficiency, cross-platform access to modern GPUs used in a wide variety of devices from PCs and consoles to mobile phones and embedded platforms.
OpenCV - OpenCV is the world's biggest computer vision library
SDL - Simple DirectMedia Layer is a cross-platform multimedia library designed to provide low level...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.