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  1. NumPy
    Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
  2. Matplotlib — Visualization with Python
    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. We thank the 128 authors for the 337 pull… · matplotlib, easy, things, thank, authors
  3. lxml - Processing XML and HTML with Python
    lxml - the most feature-rich and easy-to-use library for processing XML and HTML in the Python language
  4. Xray-S
  5. Xarray documentation
    Xarray makes working with labelled multi-dimensional arrays in Python simple, efficient, and fun! Version: 2025.10.1- What’s New Useful links: Home| Code Repository| Issues| Discussions| Releases| ...
  6. Data Structures & Algorithms in Python
    Data Structures & Algorithms in Python Learn how to use data structures effectively to write high performance Python programs and algorithms! This text is packed with figures and easy to understand descriptions of how… · data, structures, algorithms, python, programs
  7. SCIMAP - scimap
    Scimap is a scalable toolkit for analyzing spatial molecular data. The underlying framework is generalizable to spatial datasets mapped to XY coordinates. The package uses the anndata framework making it easy to… · spatial, scimap, data, analysis, cell
  8. labml library reference — labml library 0.5 documentation
    This is the Python API & CLI reference. Visit the Github Repo for an overview and tutorials. © Copyright 2020-2024, labml.ai contributors. · python, api, cli, reference, visit
  9. Welcome! | Geographic Data Science with Python
    This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
  10. diplib.org
    Quantitative Image Analysis in C++, MATLAB and Python The purpose of the DIPlib project is to provide a one-stop library and development environment for quantitative image analysis, be it applied to microscopy… · diplib, image, quantitative, analysis, matlab
  11. DocArray
    DocArray, DocArray is a library for representing, sending and storing multi-modal data, with a focus on applications in ML and Neural Search.
  12. Highcharts Maps for Python — Highcharts Maps for Python 1.7.1 documentation
    High-end data and map visualization for the Python ecosystem Latest Highcharts (JS) version supported: v.11.4.0 Highcharts Maps for Python is designed to be compatible with: · python, highcharts, maps, data, visualization
  13. PyDy: Multibody Dynamics with Python — PyDy Website
    Welcome to the PyDy project website. PyDy, short for Python Dynamics, is a both a workflow that utlizes an array of scientific tools written in the Python programming language to study multibody dynamics and a set of… · pydy, python, dynamics, workflow, scientific
  14. Xarray: N-D labeled arrays and datasets in Python
    Xarray is an open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less… · xarray, dimensions, data, python, numpy
  15. Xircuits | Xircuits
    You don't have to know how to code to use Xircuits! From image classification to anomaly detection, perform complex workflows at a click of a button! If you're a Python developer, you'll be greeted with familiar… · xircuits, workflows, python, don, know
  16. The DyND Library
    DyND is a C++ library for dynamic, multidimensional arrays. It is inspired by NumPy, the Python array programming library at the core of the scientific Python stack, but tries to address a number of obstacles encountered… · library, dynd, python, array, core
  17. XND
    Developer libraries for array computing. NumPy has been very impactful in the Python ecosystem, providing efficient array representations and computations. It is still heavily used today and many recent Python libraries… · numpy, libraries, python, array, xnd
  18. DocArray
    DocArray, DocArray is a library for representing, sending and storing multi-modal data, with a focus on applications in ML and Neural Search.
  19. 介绍 - xray Documentation
    一个免费的安全社区工具平台
  20. Welcome to the Xarray Tutorial!
    Xarray is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! 📖 On this Jupyter Book website you’ll find easy-to-run tutorial notebooks for… · xarray, material, run, hoyer, open
  21. Python Charts - Python plots, charts, and visualization
    Tutorials and examples for creating many common charts and plots in Python, using libraries like Matplotlib, Seaborn, Altair and more.
  22. API Reference - getML Developer Portal
    Welcome to the API documentation for Python. The Python API is a convenient, easy to use interface to the getML Engine. General information about the interoperation of the different parts of getML can be found in the… · api, python, getml, welcome, documentation
  23. Glue Documentation — Glue 1.21.1 documentation
    Glue is a Python library to explore relationships within and among related datasets. Its main features include: Linked Statistical Graphics. With Glue, users can create scatter plots, histograms and images (2D and 3D) of… · glue, data, python, different, its
  24. OneXray | OneXray
    Cross-platform Xray-core client. Cross-platform Xray-core client. Cross-platform Xray-core client. · cross, platform, xray, core, client
  25. X-Tag - Web Components Custom Element Polylib
    X-Tag allows you to easily create elements to encapsulate common behavior or use existing custom elements to quickly get the behavior you're looking for. For example, check out Brick, which contains 14 custom elements… · custom, tag, elements, element, allows
  26. XRAY view
  27. Xarray documentation
    Xarray makes working with labelled multi-dimensional arrays in Python simple, efficient, and fun! Version: 2025.11.1- What’s New Useful links: Home| Code Repository| Issues| Discussions| Releases| ...
  28. IDAPython API Reference — IDAPython references 1 documentation
    IDAPython allows you to create custom scripts and plugins that enhance IDA’s core functionality. This reference documentation provides a comprehensive overview of all available modules, including variables, classes, and… · idapython, ida, provides, modules, functions
  29. Microarray Development, High Precision Dispensing, Image Analysis, Genotyping Kits, Experiance Since 2014 - INTER-ARRAY
    High-Quality Microarrays by INTER-ARRAY INTER-ARRAY combines bioanalytics with state-of-the-art microtechnologies, especially in the field of high precision microdispensing. We are your competent partner since 2014 to bring your projects to success explicitly in the fields of medicine and medical technology, diagnostics, environmental analysis and pharmaceutical development. Full Service for Your Microarrays High Precision Dispensing Equipped […]
  30. Gitxray
    Gitxray (short for Git X-Ray) is a multifaceted security tool designed for use on GitHub repositories. It can serve many purposes, including OSINT and Forensics. gitxray leverages public GitHub REST APIs to gather… · gitxray, github, security, repositories, public
  31. Overview
    //<![CDATA[ downloadVersion() //]]> - What's new? With Tables you can not only organise data but also do calculations and comparisons with it. Add, sum or multiply numbers or process data by using various functions… · data, tables, learn, add, numbers
  32. Computational Physics with Python, Gnuplot, Latex, Arduino
    This portal is designed for both Physics enthusiasts and those eager to learn Python. It contains interactive scripts, step-by-step guides, numerical methods, visualizations and project resources. LaTeX is a powerful… · physics, step, portal, designed, both
  33. wxGlade: a GUI builder for wxWidgets/wxPython
    wxGlade is a GUI designer written in Python for the wxPython GUI toolkit, that helps you create wxWidgets/wxPython user interfaces. It can generate Python, C++, Perl, Lisp and XRC (wxWidgets' XML resources) code. It is… · python, wxpython, ide, copyright, wxglade
  34. XRay Tools
    XRay.Tools is the place to find the best, most integrated software tools to do your work. Check if the tools you use are well suited to automation, and if you have an idea for an automation, see which platforms best support your searches, triggers and actions
  35. tali | tali
    The goal of this first post is to clearly explain what multidimensional arrays are, and how they are manipulated in classical array programming. I’ve added a new section on the relation between bubbles and functional… · programming, goal, first, post, clearly
  36. Inqbus Scientific Computing — Deutsch
    Jeder kann um Python zu beschleunigen Numpy/Pandas/XArray/etc. nutzen um große Datenmengen zu verarbeiten. Aber wenn es dann immer noch klemmt ist tieferes Verständnis nötig. Auch ist oftmals der Blick auf das große… · ist, der, auf, eine, die
  37. DistArray 0.6 — DistArray 0.6.0 documentation
    DistArray provides general multidimensional NumPy-like distributed arrays to Python. It intends to bring the strengths of NumPy to data-parallel high-performance computing. DistArray has a similar API to NumPy. DistArray… · distarray, numpy, parallel, like, python
  38. demo_and_docs
    You can install SimplestMaps with pip: First you need to import some basic utilities that SimplestMaps provides: And then you can use those utilities to plot all kinds of objects: · simplestmaps, basic, utilities, always, install
  39. HiGlass Python — HiGlass 0.1.dev1+g650809c4f documentation
    higlass-python is an interactive Python interface for HiGlass. It provides functionality for composing and visualizing view configurations. See the Getting Started section for an overview of the provided functionality. · higlass, python, functionality, interactive, interface
  40. Welcome to Python For Data Analysis’s documentation! — Python For Data Analysis 0.1 documentation
    1. NumPy Basics: Arrays and Vectorized Computation Enter search terms or a module, class or function name. · numpy, basics, arrays, vectorized, computation
  41. XFrames Documentation — XFrames 0.1 documentation
    The XFrames library provides powerful and convenient abstractions used for operating on large datasets. It is implemented in python and runs on Spark. The main classes that make up XFrames are: © Copyright 2017, Charles… · xframes, library, provides, powerful, convenient
  42. PyAnsys Math documentation — PyAnsys Math
    PyAnsys Math aims to gather all mathematical calculation tools present in Ansys software. This Python library allows you to access and manipulate large sparse matrices and solve a variety of eigenproblems. It is… · mapdl, pyansys, math, ansys, eigenproblems
  43. BerryDB 1.6.7 documentation
    Welcome to the documentation of BerryDB Python SDK. The BerryDB Python SDK offers a complete toolkit for developers and data scientists to interact with the BerryDB data platform. It’s designed to streamline the entire… · data, berrydb, these, modules, python
  44. xarray-regrid: Regridding utilities for xarray — xarray-regrid 0.4.1 documentation
    xarray-regrid extends xarray with regridding methods, making it possibly to easily and effiently regrid between two rectilinear grids. The following methods are supported: “Most common value” (zonal statistics) · regrid, common, value, xarray, regridding
  45. doXray | Intelligent Document Processing with AI Agents
    doXray ONE is an all-in-one platform that uses AI agents to process documents effortlessly. Handle document classification, information extraction, and AI document analysis with ease.
  46. 日本語サイト
    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. We are happy to post the 3-year Research Software… · matplotlib, community, python, easy, things
  47. xoptiray.com
  48. Data Visualization with Python and R, Data Visualization with Python, Data Visualization with R, Python Graphics, R Graphics
    DataVizPyR.com: Learn most common graphics, plots, data visualization using Python and R with complete code examples.