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    NumPy (dieja , atau ) adalah sebuah pustaka untuk bahasa pemrograman Python, NumPy memberikan dukungan untuk himpunan dan matriks multidimensi yang besar, dan dilengkapi koleksi sejumlah besar fungsi matematika tingkat tinggi untuk beroperasi pada himpunan ini. Proyek pendahulu NumPy, Numeric, awalnya dibuat oleh Jim Hugunin dengan kontribusi dari beberapa pengembang lain pada tahun 1995. Pada tahun 2005, Travis Oliphant menciptakan NumPy dengan memasukkan fitur Numarray ke dalam Numeric, serta melakukan modifikasi besar-besaran. NumPy adalah perangkat lunak sumber terbuka dan memiliki banyak kontributor.


    Contoh program


    Pembuatan himpunan (array)

    Operasi dasar

    Fungsi universal

    Aljabar linear

    Tensor

    Kombinasi dengan OpenCV

    Pencarian Nearest Neighbour - Algoritma Python Iteratif dan versi vektorisasi NumPy yang sepadan


    Referensi




    Bacaan lanjutan


    Bressert, Eli (2012). Scipy and Numpy: An Overview for Developers. O'Reilly. ISBN 978-1-4493-0546-8.
    McKinney, Wes (2017). Python for Data Analysis : Data Wrangling with Pandas, NumPy, and IPython (edisi ke-2nd). Sebastopol: O'Reilly. ISBN 978-1-4919-5766-0.
    VanderPlas, Jake (2016). "Introduction to NumPy". Python Data Science Handbook: Essential Tools for Working with Data. O'Reilly. hlm. 33–96. ISBN 978-1-4919-1205-8.


    Pranala luar



    Situs web resmi
    History of NumPy

Kata Kunci Pencarian:

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Numpy Quick Tutorial. Python Libraries. Practity

Numpy Quick Tutorial. Python Libraries. Practity

NumPy

NumPy

What is NumPy

What is NumPy

Python Numpy Tutorial

Python Numpy Tutorial

Introduction to NumPy – Study Machine Learning

Introduction to NumPy – Study Machine Learning

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Numpy - Pynomial

NumPy: the absolute basics for beginners — NumPy v2.2.dev0 Manual

NumPy: the absolute basics for beginners — NumPy v2.2.dev0 Manual

NumPy (Mac) - Download, Screenshots

NumPy (Mac) - Download, Screenshots

Getting Started with NumPy | iC0dE Magazine

Getting Started with NumPy | iC0dE Magazine

What is NumPy? | How It Works | Need & Career Growth | Advantages

What is NumPy? | How It Works | Need & Career Growth | Advantages

NumPy Skill Tree | Learning Path | Courses | Roadmap | LabEx

NumPy Skill Tree | Learning Path | Courses | Roadmap | LabEx

NumPy: the absolute basics for beginners — NumPy v2.1 Manual

NumPy: the absolute basics for beginners — NumPy v2.1 Manual

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NumPy

Manipulate JSON-like data with NumPy-like idioms. uarray: Python backend system that decouples API from implementation; unumpy provides a NumPy API. tensorly: Tensor …

What is NumPy? — NumPy v2.2 Manual

NumPy arrays facilitate advanced mathematical and other types of operations on large numbers of data. Typically, such operations are executed more efficiently and with less code than is …

NumPy - Installing NumPy

NumPy can be installed with conda, with pip, with a package manager on macOS and Linux, or from source. For more detailed instructions, consult our Python and NumPy installation guide …

NumPy documentation — NumPy v2.2 Manual

The reference guide contains a detailed description of the functions, modules, and objects included in NumPy. The reference describes how the methods work and which parameters …

NumPy - Learn

Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community. Beginners# There’s a ton of …

NumPy: the absolute basics for beginners — NumPy v2.2 Manual

NumPy (Numerical Python) is an open source Python library that’s widely used in science and engineering. The NumPy library contains multidimensional array data structures, such as the …

NumPy reference — NumPy v2.2 Manual

Dec 14, 2024 · This reference manual details functions, modules, and objects included in NumPy, describing what they are and what they do. For learning how to use NumPy, see the complete …

NumPy quickstart — NumPy v2.2 Manual

NumPy provides familiar mathematical functions such as sin, cos, and exp. In NumPy, these are called “universal functions” (ufunc). Within NumPy, these functions operate elementwise on an …

NumPy user guide — NumPy v2.2 Manual

NumPy fundamentals. Array creation; Indexing on ndarrays; I/O with NumPy; Data types; Broadcasting; Copies and views; Working with Arrays of Strings And Bytes; Structured arrays; …

NumPy Documentation

NumPy Documentation. Web; Latest (development) documentation; NumPy Enhancement Proposals; Versions: Numpy 2.2 Manual [Reference Guide PDF] [User Guide PDF] Numpy 2.1 …