# PySymbolic Lab — Symbolic Math with SymPy

> Symbolic Math with SymPy (iPhone/iPad app by SimTeCon GmbH.)

- Source: https://appshunter.io/ios/app/pysymbolic-lab/id6737474596 (this page in markdown: same URL + `.md`)
- Developer: [SimTeCon GmbH](https://appshunter.io/developer/1761797043)
- Category: Education
- Price: $5.99 (on sale, was $6.99)
- Age rating: 4+
- Requires: iOS 15.1 · 49 MB
- Languages: English
- Released: 2024-10-30
- Data updated: 2026-08-31
- User reviews in markdown: https://appshunter.io/ios/app/pysymbolic-lab/id6737474596/reviews.md

## What is PySymbolic Lab?

Symbolic Lab: Master Symbolic Mathematics with SymPy

Master symbolic mathematics through structured learning paths and hands-on coding exercises. Perfect for Python programmers who want to enhance their mathematical skills using SymPy's powerful symbolic computation tools.

LEARNING UNITS
1. Introduction to Symbolic Computation with SymPy
2. Setting Up Your Environment for SymPy
3. Basic Algebraic Manipulation and Expression Simplification
4. Symbolic Differentiation and Integration Techniques
5. Solving Equations and Systems Symbolically
6. Symbolic Matrices and Linear Algebra Fundamentals
7. Eigenvalues, Eigenvectors, and Matrix Decompositions
8. Numerical Evaluation of Symbolic Expressions
9. Symbolic Differential Equations
10. Visualization and Interpretation of Symbolic Results
11. Series Expansions, Limits, and Approximations
12. Advanced Applications and Customization in SymPy

RICH LEARNING CONTENT
• 200 SymPy Programming Units Covering Core Topics 
• 70 Unique Challenging Coding Exercises per unit
• SymPy Cheatsheet: A compact reference guide for quick look-ups
• SymPy Flashcards: 1200 targeted flashcards to reinforce key concepts
• A concise guide to essential algorithms and patterns for Python programmers
• 15 interface languages supported 
• Multiple Examples and Code Demonstrations
• Clear explanations and solutions 

DAILY CHALLENGE
• New SymPy programming challenge every day
• Different from regular lessons
• Immediate feedback and explanations

PROGRESS TRACKING
• Visual progress indicators for each topic
• Achievement tracking

Highlights - ALL INCLUDED
• 100% Offline Access
• No ads - Focus on learning without interruptions
• 12 custom themes - personalize your interface
• All content unlocked - No subscriptions or in-app purchases

WHO IT'S FOR
* Mathematics Students
* Physics Students
* Engineering Students
* Computer Science Students
* Research Scientists
* Data Scientists and Analysts
* Anyone learning advanced mathematics

WHAT YOU'LL LEARN
* Master symbolic mathematics using SymPy
* Solve complex mathematical problems programmatically
* Implement symbolic algorithms in Python
* Process and manipulate mathematical expressions
* Convert between symbolic and numerical computations
* Visualize mathematical results effectively

Transform your mathematical problem-solving skills with Symbolic Lab. From foundational concepts to advanced applications, build your expertise in symbolic mathematics through structured practice with SymPy.


## Version history (last 5 releases)

### 2.2 — 2026-04-01

* Fix mini bugs and improve performance.

### 2.1 — 2026-02-11

Added SymPy Cheatsheet: A compact reference guide for quick look-ups
Added SymPy Flashcards: 1200 targeted flashcards to reinforce key concepts
Added A concise guide to essential algorithms and patterns for Python programmers
Bug fixes and performance improvements for a smoother learning experience

### 1.6 — 2025-10-19

* Added Python syntax highlighting to the Notes module. 
* Performance improvements and bug fixes.
* Updated UI for better user experience.

### 1.5 — 2025-09-11

* Performance improvements and bug fixes
* Added new custom themes
* Added more programming units covering advanced topics
* Added support for new interface languages
* Updated UI for better user experience

### 1.4 — 2025-07-08

What’s New in Version 1.4:
* Improvements and bug fixes
* Added 10 custom themes
* Added 50 SymPy Programming Units
* Now includes 70 challenging coding exercises per unit

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-08-31.*