https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Sat, 16 May 2026 00:00:00 GMT https://www.youngju.dev/blog/culture/2026-05-16-math-scientific-computing-tools-2026-mathematica-matlab-maple-sagemath-julia-r-tidyverse-jax-geogebra-desmos-gap-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-math-scientific-computing-tools-2026-mathematica-matlab-maple-sagemath-julia-r-tidyverse-jax-geogebra-desmos-gap-deep-dive.en The math and scientific computing landscape in 2026 is no longer dominated by one or two tools. Wolfram Mathematica still owns premium symbolic computation. MATLAB and Simulink remain the engineering industry standard. Maple holds the education and research balance. SageMath has matured into the unified open-source CAS. Julia 1.11 sealed its science-first design. Posit (the company formerly known as RStudio) drives R and tidyverse forward. Python NumPy / SciPy / SymPy / Pandas / Polars stack is the de facto scientific stack. GeoGebra and Desmos rule the classroom. GAP, Macaulay2, Magma, and Singular hold specialized algebra. CoCalc, Wolfram Cloud, and Posit Cloud bring everything to the browser. Google JAX bridges science and ML. Symbolics.jl, Reduce, Maxima, and PARI/GP keep the open CAS world alive. This piece reconciles all of them for students, researchers, engineers, and educators picking tools in 2026. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) mathscientific-computingwolfram-mathematicamatlabsimulinkmaplemaplesoftsagemathwilliam-steinjuliajulia-1-11r-languagetidyversepositnumpyscipysympypandaspolarsgeogebradesmosgapmacaulay2magmasingularcocalcwolfram-cloudwolfram-alphajaxsymbolics-jlreducemaximapari-gp2026deep-diveenglish https://www.youngju.dev/blog/culture/2026-05-16-math-scientific-computing-tools-2026-mathematica-matlab-maple-sagemath-julia-r-tidyverse-jax-geogebra-desmos-gap-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-math-scientific-computing-tools-2026-mathematica-matlab-maple-sagemath-julia-r-tidyverse-jax-geogebra-desmos-gap-deep-dive.ja 2026 年の数学・科学計算の地図は、もう一つや二つの道具に支配されていない。Wolfram Mathematica の象徴計算プレミアム、MATLAB と Simulink の工学産業標準、Maple の教育・研究のバランス、SageMath のオープンソース統合、Julia 1.11 の科学計算ファースト設計、R と tidyverse を率いる Posit、Python の NumPy・SciPy・SymPy・Pandas・Polars スタック、GeoGebra と Desmos が支配する教育現場、GAP・Macaulay2・Magma・Singular の特化代数、CoCalc によるクラウドノートブック、Wolfram Cloud と Alpha API、Google JAX による科学・ML 融合、Symbolics.jl・Reduce・Maxima・Pari/GP の CAS 陣営 — 学生・研究者・技術者・教育者が 2026 年に何を選ぶべきかを一本でまとめる。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) mathscientific-computingwolfram-mathematicamatlabsimulinkmaplemaplesoftsagemathwilliam-steinjuliajulia-1-11r-languagetidyversepositnumpyscipysympypandaspolarsgeogebradesmosgapmacaulay2magmasingularcocalcwolfram-cloudwolfram-alphajaxsymbolics-jlreducemaximapari-gp2026deep-dive日本語 https://www.youngju.dev/blog/culture/2026-05-16-math-scientific-computing-tools-2026-mathematica-matlab-maple-sagemath-julia-r-tidyverse-jax-geogebra-desmos-gap-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-math-scientific-computing-tools-2026-mathematica-matlab-maple-sagemath-julia-r-tidyverse-jax-geogebra-desmos-gap-deep-dive 2026년 수학과 과학 계산의 지형도는 더 이상 한두 도구가 지배하지 않는다. Wolfram Mathematica의 프리미엄 상징 계산, MATLAB과 Simulink의 공학 산업 표준, Maple의 교육·연구 균형, SageMath의 오픈소스 통합, Julia 1.11의 과학 계산 우선 설계, R과 tidyverse를 끌고 가는 Posit, Python의 NumPy·SciPy·SymPy·Pandas·Polars 스택, GeoGebra와 Desmos의 교육 현장, GAP·Macaulay2·Magma·Singular의 특화 대수, CoCalc의 클라우드 노트북, Wolfram Cloud와 Alpha API, Google JAX의 과학·ML 융합, Symbolics.jl·Reduce·Maxima·Pari/GP의 CAS 진영까지 — 학생·연구자·공학자·교육자가 2026년에 무엇을 선택해야 하는지 한 편으로 정리한다. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) mathscientific-computingwolfram-mathematicamatlabsimulinkmaplemaplesoftsagemathwilliam-steinjuliajulia-1-11r-languagetidyversepositnumpyscipysympypandaspolarsgeogebradesmosgapmacaulay2magmasingularcocalcwolfram-cloudwolfram-alphajaxsymbolics-jlreducemaximapari-gp2026deep-dive https://www.youngju.dev/blog/culture/2026-05-16-modern-fortran-scientific-computing-2026-fortran-2023-lfortran-gfortran-numpy-scipy-jax-julia-julian-array-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-modern-fortran-scientific-computing-2026-fortran-2023-lfortran-gfortran-numpy-scipy-jax-julia-julian-array-deep-dive.en A complete topographic map of scientific computing in 2026. Fortran, born in 1957, is not dead — through Fortran 2023, LFortran 0.50, gfortran 14, Flang/LLVM, NVIDIA HPC, ifx, fpm, stdlib, OpenMP 5.2, MPI 4.1, CoArray, and DO CONCURRENT, it remains the heart of climate models NEMO/CESM/IFS and supercomputers Fugaku/Nurion/Frontier. We cover Python NumPy/SciPy/Pandas/Polars, JAX, Numba, Cython, Mojo, Julia 1.11, R 4.5, MATLAB 2026, Mathematica 14, the APL family (J, K/q, Dyalog, BQN, Uiua), GPU (CUDA/ROCm/Triton), HPC libraries (BLAS/LAPACK/PETSc), supercomputers (Fugaku/Nurion/Frontier), and data formats (HDF5/NetCDF/FITS). Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) fortranscientific-computinglfortrangfortrannumpyscipyjaxjuliaaplhigh-performance-computingenglish https://www.youngju.dev/blog/culture/2026-05-16-modern-fortran-scientific-computing-2026-fortran-2023-lfortran-gfortran-numpy-scipy-jax-julia-julian-array-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-modern-fortran-scientific-computing-2026-fortran-2023-lfortran-gfortran-numpy-scipy-jax-julia-julian-array-deep-dive.ja 2026年科学計算の地形図を一編にまとめる。1957年生まれのFortranは死んでいない — Fortran 2023標準、LFortran 0.50、gfortran 14、Flang/LLVM、NVIDIA HPC、ifx、fpm、stdlib、OpenMP 5.2、MPI 4.1、CoArray、DO CONCURRENTを経て、気候モデルNEMO・CESM・IFSとスーパーコンピュータ富岳・Nurionの心臓として生きている。Python NumPy/SciPy/Pandas/Polars、JAX、Numba、Cython、Mojo、Julia 1.11、R 4.5、MATLAB 2026、Mathematica 14、APL一族(J, K/q, Dyalog, BQN, Uiua)、GPU(CUDA/ROCm/Triton)、HPCライブラリ(BLAS/LAPACK/PETSc)、スーパーコンピュータ(富岳/Nurion/Frontier)、データ形式(HDF5/NetCDF/FITS)を全て見る。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) fortranscientific-computinglfortrangfortrannumpyscipyjaxjuliaaplhigh-performance-computing日本語 https://www.youngju.dev/blog/culture/2026-05-16-modern-fortran-scientific-computing-2026-fortran-2023-lfortran-gfortran-numpy-scipy-jax-julia-julian-array-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-modern-fortran-scientific-computing-2026-fortran-2023-lfortran-gfortran-numpy-scipy-jax-julia-julian-array-deep-dive 2026년 과학 컴퓨팅의 지형도를 한 편으로 정리한다. 1957년에 태어난 Fortran은 죽지 않았다 — Fortran 2023 표준, LFortran 0.50, gfortran 14, Flang/LLVM, NVIDIA HPC, ifx, fpm, stdlib, OpenMP 5.2, MPI 4.1, CoArray, DO CONCURRENT를 거치며 기후 모델 NEMO·CESM·IFS와 슈퍼컴퓨터 Fugaku·Nurion의 심장으로 살아있다. Python NumPy/SciPy/Pandas/Polars, JAX, Numba, Cython, Mojo, Julia 1.11, R 4.5, MATLAB 2026, Mathematica 14, APL 가족(J, K/q, Dyalog, BQN, Uiua), GPU(CUDA/ROCm/Triton), HPC 라이브러리(BLAS/LAPACK/PETSc), 슈퍼컴퓨터(Fugaku/Nurion/Frontier)와 데이터 포맷(HDF5/NetCDF/FITS)을 전부 본다. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) fortranscientific-computinglfortrangfortrannumpyscipyjaxjuliaaplhigh-performance-computing