The Julia Language
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Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
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The Julia Programming Language
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Solve Fractional Differential Equations using high performance numerical methods
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Julia bindings for the Enzyme automatic differentiator
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A documentation generator for Julia.
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Collecting and maintaining crucial Julia package data, including Names, UUIDs, and download statistics, for enhanced accessibility, insight, and discoverability.
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Template for research projects that utilize Jupyter notebooks for exploration, experimentation, analysis, and reporting
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Plotting for Julia based on matplotlib.pyplot
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Interface for PyTorch's C++ backend, focusing on ATen, AutoGrad, and JIT
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Conda managing Julia binary dependencies
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A Julia wrapper for the Spotify API
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Data Apps & Dashboards for Python. No JavaScript Required.
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ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!
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An analysis library for ClimaDiagnostics
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A set of programs in Julia designed to efficiently simulate range expansions.
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Integrate Julia computations in your Typst document
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🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
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Numerical linear algebra + numerical optimization algorithms
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Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012
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