EigenAlpha vs SymPy Editor

EigenAlpha: Linear Algebra Core Skills Training Unlock the visual and spatial power of Linear Algebra. EigenAlpha is an interactive learning console designed for university students, engineers, and machine learning enthusiasts who want to develop a deep, intuitive, and mathematical grasp of vector spaces, matrices, and linear mappings. Skip rote memorization. EigenAlpha combines structured curriculum progression with stunning visual diagnostics to help you bridge the gap between abstract equations and geometric transformations. KEY FEATURES: Structured Course Progression: Move step-by-step through core Linear Algebra units—from basis vector spans and matrix dimensions to QR decompositions, eigenvalues, and Gram-Schmidt orthogonalization. Macro Skill Diagnostics: View your real-time accuracy across 6 core mathematical domains, including Matrix Arithmetic, Algorithmic Reduction (Gaussian Elimination), Spectral Decomposition, and Invariant Inspection. Applied Crossover Case Studies: Explore how abstract matrix concepts drive state-of-the-art modern technologies. Follow step-by-step reasoning progressions for real-world scenarios, including Google PageRank spectral convergence. Conceptual Diagrams & Pitfalls: Review custom high-contrast visuals mapping out transformations and eigenvalues. Learn to bypass common pitfalls and exam tips carefully curated by math researchers. Reset & Restore Control: Maintain full command over your learning log. Reset diagnostic progress to re-test your accuracy, and easily restore premium license entitlements across all your iOS devices. Accessibility Integrated: Fully optimized for Dynamic Type font scaling and screen reader VoiceOver narration. WHO IS IT FOR? - STEM Undergrads: Excel in college-level Linear Algebra courses and diagnostic exams. - AI & Machine Learning Developers: Understand the vector transformations, dimension spaces, and spectral decomposition behind neural networks and PCA. - 3D Developers & Graphics Engineers: Master translation, rotation, and projection matrices.

Edit mathematics the way you read it. SymPy editor draws your expression as a real formula, and every piece of it responds to touch: tap a term to select it, type over it, pull it apart, or apply any function from SymPy, the Python computer algebra system that powers it all. The whole CAS runs on your phone. No account, no ads, no tracking, no network: CPython and SymPy are packaged inside the app, everything you type stays on your device, and it all works in airplane mode. EDIT FORMULAS, NOT CODE • Tap any sub-expression (a term, an exponent, a matrix entry) and edit it in place • Type over a selection, or place a caret between terms and insert • Tap an operator to change it: turn + into a product, make an equation, or delete it • Unwrap (cos θ → θ), isolate, delete, copy and paste sub-expressions • The SymPy source line under the formula follows it, and the formula follows the line: edit whichever you prefer ALL OF SYMPY, ONE TAP AWAY • Transform menu: simplify, expand, factor, partial fractions, trig rewriting and more • A menu per type: matrices offer determinant, inverse and transpose; integrals, sums, derivatives and limits offer evaluation; equations swap sides or collect everything on the left • A search box over every SymPy function, asking for the parameters each one needs • An "unevaluated" switch builds Integral(f, x) or Determinant(M) symbolically instead of computing it • A Symbols panel for assumptions (positive, real, integer…) and matrix symbols with their shapes EVERY STEP IS REMEMBERED • The history shows each step and what changed: in red what went, in green what came • Play it as a slideshow, at the speed you choose • Save it as a self-contained web page that works offline, or as a Python script that rebuilds every step with SymPy • Keep several sessions, each with its own history, all on your device FOR STUDENTS, TEACHERS AND SCIENTISTS Complete the square in front of a class, evaluate limits and integrals, manipulate matrices and N-dimensional arrays, and export the derivation when it is done. FREE AND OPEN SOURCE BSD 3-Clause, no strings attached. Worked derivations, the source code and a browser version are at https://upabjojr.github.io/sympy-editor/ — and the same editor runs in Jupyter notebooks (pip install sympy-editor).