Cambridge Proficiency C2 Prep vs MathCode Academy

Cambridge Proficiency C2 Prep follows the lead of the four Use Of English questions on the revised Cambridge® Proficiency Exam (Multiple Choice, Open Gap Fill, Word Formation and Keyword Transformation), to teach four C2 language skills. These are: - building and using collocations, including idioms and phrasal verbs - using grammar words including determiners and linking words - word formation, building different parts of speech - C2 paraphrasing using such structures as cleft sentences and causative constructions Each of the four sections of the app corresponds to one of the four exam tasks. Each section has eight units including notes, preview and practice activities. Sample exam questions are provided for each section. The app provides material for 30-50 hours of study and includes: - short (3 min) video presentations - tips about timing and marking as well as notes on language, meaning and usage - word building, editing and multiple choice activities - practice gap fill and transformation exercises - sample exam questions The app is designed especially to help students preparing to sit the revised Cambridge Proficiency® exam but will be of value to any Proficiency student. Cambridge® is a registered trademark of the University of Cambridge, which is not associated in any way with this app.

MathCode Academy – Master Computational Mathematics Learn MATLAB and Fortran 95 through structured tutorials, practical numerical examples, and focused coding practice. MathCode Academy is designed for students, engineers, researchers, and developers who want to build stronger scientific programming skills. From core syntax and matrix operations to numerical methods, optimization, signal processing, and parallel computing, the app helps you learn computational mathematics step by step. MATLAB TRACK 1. Introduction and Basics 2. Vectors and Matrices 3. Control Flow Structures 4. Functions and Scripts 5. I/O and File Operations 6. Plotting and Visualization 7. Image Processing 8. Signal Processing 9. Optimization Methods 10. Statistics and Machine Learning 11. PDEs with FFT and Spectral Methods 12. Symbolic Mathematics FORTRAN 95 TRACK 1. Array Operations and Statistics 2. Matrix Multiplication and Linear Algebra 3. Gaussian Elimination and System Solving 4. Numerical Integration Methods 5. Root Finding Algorithms 6. Euler’s Method for ODEs 7. Heat Equation and Finite Differences 8. Eigenvalue Methods 9. Monte Carlo Simulations 10. Least-Squares Fitting and Regression 11. Fourier Series Analysis 12. Parallel Computing with Coarrays TUTORIAL FEATURES • Clear explanations with practical scientific computing examples • Code samples with clean formatting and easy-to-follow structure • Step-by-step learning from fundamentals to advanced numerical methods • Performance tips for efficient computational programming • In-depth coverage of mathematical algorithms and real-world computing patterns APP FEATURES • MATLAB cheatsheet for essential syntax and core concepts • MATLAB flashcards with 360 targeted cards across 12 units • Fortran 95 cheatsheet for essential syntax and core concepts • Fortran 95 flashcards with 360 targeted cards across 12 units • 4,800 coding challenges across all learning units • 200 MATLAB programming units covering core topics from basics to essentials • 200 Fortran programming units covering core topics from basics to essentials • Daily coding challenge with a new numerical problem every day • Built-in progress tracking to follow your learning journey • 12 custom themes to personalize your study experience • Support for 15 interface languages • Full offline access for learning anytime, anywhere • Ad-free, distraction-free environment WHO IT IS FOR • Scientific computing developers • Engineering students and professionals • Research scientists and mathematicians • Data analysts and computational researchers • MATLAB and Fortran learners • Anyone studying numerical methods or mathematical programming Learn scientific programming with a clear, structured path. Download MathCode Academy today and start building the computational skills you need for numerical analysis, scientific computing, engineering applications, and research-focused programming.