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-statistical-computing-2026-r-4-5-posit-rstudio-stan-pyro-numpyro-brms-jax-tidyverse-polars-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-modern-statistical-computing-2026-r-4-5-posit-rstudio-stan-pyro-numpyro-brms-jax-tidyverse-polars-deep-dive.en In 2026 statistical computing has two large currents running in parallel. On one side R 4.5 (April 2025) and Posit (formerly RStudio) commercial stack are cementing the reproducible-research standard. On the other side JAX, NumPyro, and Polars are accelerating Bayesian inference and dataframe analytics on GPUs and TPUs. Between them Stan keeps the absolute lead on NUTS sampling, while brms and rstanarm bring Bayesian methods into the daily toolbox of R users. Marimo overcomes Jupyter limits with reactive notebooks, and Quarto unifies R, Python, Julia, and Observable in one document. This article maps the entire 2026 landscape — R ecosystem, Stan/Pyro Bayesian stack, JAX scientific computing, Polars dataframes, visualization, causal inference, and the Korean and Japanese statistical-computing communities — in one continuous read. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) statistical-computingr-languagepositrstudiostanpyronumpyrobrmsjaxtidyversedata-tablepolarsmarimoenglish https://www.youngju.dev/blog/culture/2026-05-16-modern-statistical-computing-2026-r-4-5-posit-rstudio-stan-pyro-numpyro-brms-jax-tidyverse-polars-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-modern-statistical-computing-2026-r-4-5-posit-rstudio-stan-pyro-numpyro-brms-jax-tidyverse-polars-deep-dive.ja 2026年の統計コンピューティングは二つの大きな潮流が並行して進む。一方では R 4.5(2025年4月)と Posit(旧 RStudio)の商用スタックが再現可能研究の標準を固め、もう一方では JAX・NumPyro・Polars が GPU と TPU の上でベイズ推論とデータフレームを加速する。その間で Stan は NUTS サンプラーの絶対王者の地位を守り、brms と rstanarm は R 利用者にベイズを日常の道具にする。Marimo はリアクティブノートブックで Jupyter の限界を破り、Quarto は R・Python・Julia・Observable を一つの文書に束ねる。本稿では R 生態系・Stan/Pyro ベイズスタック・JAX 科学計算・Polars データフレーム・可視化・因果推論・韓国と日本の統計コンピューティングコミュニティまで、2026 年の風景を一つの流れで整理する。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) statistical-computingr-languagepositrstudiostanpyronumpyrobrmsjaxtidyversedata-tablepolarsmarimo日本語 https://www.youngju.dev/blog/culture/2026-05-16-modern-statistical-computing-2026-r-4-5-posit-rstudio-stan-pyro-numpyro-brms-jax-tidyverse-polars-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-modern-statistical-computing-2026-r-4-5-posit-rstudio-stan-pyro-numpyro-brms-jax-tidyverse-polars-deep-dive 2026년 통계 컴퓨팅은 두 개의 큰 흐름이 동시에 진행 중이다. 한쪽에서는 R 4.5(2025-04)와 Posit(구 RStudio)의 상용 스택이 재현가능 연구의 표준을 굳히고, 다른 한쪽에서는 JAX·NumPyro·Polars가 GPU·TPU 위에서 베이지안과 데이터프레임을 가속한다. 그 사이에서 Stan은 NUTS 샘플러의 절대강자 자리를 지키고, brms와 rstanarm은 R 사용자에게 베이지안을 일상 도구로 만든다. Marimo는 Jupyter의 한계를 반응형 노트북으로 돌파하고, Quarto는 R·Python·Julia·Observable을 한 문서에 묶는다. 이 글은 R 생태계·Stan/Pyro 베이지안 스택·JAX 과학 컴퓨팅·Polars 데이터프레임·시각화·인과추론·한국과 일본의 통계 커뮤니티까지 통계 컴퓨팅 풍경을 한 흐름으로 정리한다. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) statistical-computingr-languagepositrstudiostanpyronumpyrobrmsjaxtidyversedata-tablepolarsmarimo