Python Data Processing library. Contribute to Refefer/Dampr development by creating an account on GitHub.
Pillow, often referred to as the Python Imaging Library (PIL), is a popular Python library for working with images. It provides a wide range of functionalities for opening, manipulating, and saving various image file formats. Pillow is widely used for image processing, manipulation, and transform...
To learn more about this library, check out its official website. ⭐ GitHub Stars: 25.6K | Total Downloads: 18.2 million Python Libraries for Natural Language Processing 23. NLTK NLTK is one of the main platforms for constructing Python programs to parse human language data. It provides easy...
Python Imaging Library(PIL)已经成为Python事实上的图像处理标准库了,这是由于,PIL功能非常强大,但API却非常简单易用。但是由于PIL仅支持到Python 2.7,再加上年久失修,于是一群志愿者在PIL的基础上创建了兼容的版本,名字叫Pillow,支持最新Python 3.x,又加入了...
使用Bokeh进行交互式数据可视化(在Python中) (https://www.analyticsvidhya.com/blog/2015/08/interactive-data-visualization-library-python-bokeh/) 本文参与 腾讯云自媒体同步曝光计划,分享自微信公众号。 原始发表:2019-08-29,如有侵权请联系 cloudcommunity@tencent.com 删除 https 网络安全 数据可视化 scrapy ...
DendroPy is a Python library for phylogenetic computing. It provides classes and functions for the simulation, processing, and manipulation of phylogenetic trees and character matrices, and supports the reading and writing of phylogenetic data in a range of formats, such as NEXUS, NEWICK, NeXML, ...
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VisPy is a high-performance interactive 2D/3D data visualization library. VisPy leverages the computational power of modern Graphics Processing Units (GPUs) through the OpenGL library to display very large datasets. Applications of VisPy include: ...
As the name suggests, SciPy is mainly used for its scientific functions and mathematical functions derived from NumPy. Some useful functions which this library provides are stats functions, optimization functions, and signal processing functions. To solve differential equations and provide optimization, it...
The attrs project is great and does support some features that data classes do not, including converters and validators. Furthermore, attrs has been around for a while and is supported in Python 2.7 as well as Python 3.4 and up. However, as attrs is not a part of the standard library, ...