rhc
NumPy
rhc | NumPy | |
---|---|---|
2 | 277 | |
5 | 26,774 | |
- | 1.2% | |
3.1 | 10.0 | |
about 1 year ago | about 11 hours ago | |
C | Python | |
MIT License | GNU General Public License v3.0 or later |
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rhc
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some: Sdl2 OpenGL Mini Engine for mobile, desktop, web
Your style guide is also definitely worth highlighting. Most of my efforts to learn this language have come from reading example code and guessing at the reasoning of the author's design decisions, so these explanations are a godsend.
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Template function in C without macros/ best practices
Have a look at my dynamic array for a complete example: https://github.com/renehorstmann/rhc/blob/main/include/rhc/dynarray.h
NumPy
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Documenting my pin collection with Segment Anything: Part 3
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations.
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Awesome List
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation.
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NumPy for Beginners: A Basic Guide to Get You Started
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples.
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2 Minutes to JupyterLab Notebook on Docker Desktop
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.
- Taming Floating-Point Sums
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
- NumPy 2.0.0 Beta1
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Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
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:
What are some alternatives?
Pixelc - An opensource tile/sprite editor in C, using SDL2 and OpenGL, also running on Android and in the web
SymPy - A computer algebra system written in pure Python
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
SciPy - SciPy library main repository
blaze - NumPy and Pandas interface to Big Data
Numba - NumPy aware dynamic Python compiler using LLVM
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
manim - Animation engine for explanatory math videos
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
mitmproxy - An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
scikit-learn - scikit-learn: machine learning in Python