Quadratic Equation vs SymPy Editor

The DOST Courseware is a locally-produced, all-original Filipino highly interactive multimedia educational application packages that are conceptualized, digitized and produced as spearheaded by the Science Education Institute (SEI-DOST) in partnership with the Advanced Science and Technology Institute (ASTI-DOST) and in cooperation with the Department of Education (DepEd), Philippine Normal University (PNU) and University of the Philippines-National Institute for Science and Mathematics Education (UP-NISMED), which aims to develop information and communication technology learning innovation to support the upgrading and improvement of science and mathematics education in the country. The DOST Courseware are provided for free to schools and are also made available online as supplemental resources for teachers and student as a fun and interactive approach to e-learning and blended learning. The Grade 7 DOST Courseware is composed of 120 lessons overall, 73 lessons in Science where it covered the domains on: Matter; Force, Motion and Energy, Living Things and Their Environment and Earth and Space while the 60 lessons in Mathematic covered the domains on: Numbers and Number Sense, Patterns and Algebra, and Geometry. The Grade 8 DOST Courseware is composed of 118 lessons overall, 61 lessons in Science where it covered the domains on: Parts and Functions, Ecosystems, Heredity: Inheritance and Variation of Traits, Structures and Functions, Biodiversity, and Evolution, while the 57 lessons in Mathematics covered the domains on: Linear Equations, Quadratic Equations, Rational Algebraic Equations, Integral Exponents, Radicals, Arithmetic Sequence and Geometric Sequence. The themes of the courseware for Grades 7 and 8, Magicademy, Freddy’s Lab and D’nayao will surely amuse the users as they explore these distinct worlds while learning at the same time.

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).