# Learn to Code vs Python Compiler

The clearest difference is rating: Learn to Code at 4.6 against Python Compiler's 1.0. Learn to Code also leads on review sentiment (67% vs 50%) and ratings volume (10 vs 1). Python Compiler's advantage is in-app purchases (none vs 3) and ads (none vs shown). On price, update cadence and device support there is nothing between them.

Both are free to download. Learn to Code sells 3 in-app purchases, starting at $8.99 per month. Python Compiler asks for nothing beyond the download.

Learn to Code holds the better App Store score, 4.6 against 1.0. That said, the two scores are not equally well evidenced: Learn to Code has 10 ratings behind it against 1, so its average is the more settled of the two. Written reviews point the same way: 67% of Learn to Code's written reviews are positive against 50% of Python Compiler's.

Learn to Code ships an update every 6 weeks, Python Compiler every 2 months. The most recent releases landed on October 9, 2026 and October 2, 2026 respectively.

## The numbers

| Metric | Learn to Code | Python Compiler |
| --- | --- | --- |
| Price | Free | Free |
| Rating | **[4.6 (10 ratings)](https://appshunter.io/ios/app/learn-to-code-codigo/id1519239241/reviews)** | [1.0 (1 ratings)](https://appshunter.io/ios/app/python-compiler-run-py-code/id1546362252/reviews) |
| Number of ratings | **10** | 1 |
| Positive reviews | **66.7% of reviews** | 50.0% of reviews |
| In-app purchases | Yes | **No** |
| Ads | Yes | **No** |
| Update frequency | **Every 6 weeks** | Every 2 months |
| Monetization | Freemium | **Free** |
| Size | 65 MB | 28 MB |
| Requires iOS | 15.0 | **12.0** |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Age rating | 4+ | 4+ |
| Developer | [Alexandru Florian Mariuti](https://appshunter.io/developer/1299564849) | [OnePercent](https://appshunter.io/developer/1536020418) |

## What reviewers say

### Learn to Code

[App page](https://appshunter.io/ios/app/learn-to-code-codigo/id1519239241)

Learn programming with interactive lessons and diverse exercises. Master languages like Python, Swift, and JavaScript at your own pace. Offers a premium subscription for unlimited access to courses and challenges.

**Highlights:** Interactive programming lessons, Multiple choice and fill-in-the-blank exercises, Code execution exercises, Support for Python, Swift, and JavaScript, Adjustable difficulty levels (Easy, Medium, Hard), Premium subscription for unlimited access

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases (3)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 1 Month | $8.99 | per month |
| 3 Months | $18.99 | per 3 months |
| 1 Year | $45.99 | per year |


### Python Compiler

[App page](https://appshunter.io/ios/app/python-compiler-run-py-code/id1546362252)

This application serves as an advanced mobile IDE for compiling and running Python programs. It features a code editor with syntax highlighting, exercise questions, and pre-written DSA programs to aid learning. It also includes fun facts about programming.

**Highlights:** Compile and run Python programs, Code editor with syntax highlighting, Exercise questions for learning, General DSA programs with code, Programming fun facts

**Features:** macOS Compatibility

**In-app purchases:** none


## Frequently asked questions

### Is Learn to Code free?

Learn to Code is free to download, with in-app purchases available.

### Is Python Compiler free?

Python Compiler is free to download, with no in-app purchases.

### Which has better reviews, Learn to Code or Python Compiler?

Learn to Code is rated higher. Learn to Code averages 4.6 out of 5 from 10 ratings, while Python Compiler averages 1.0 from 1 ratings.

### Do Learn to Code or Python Compiler have ads?

Learn to Code shows ads; Python Compiler does not.

### Which is updated more often, Learn to Code or Python Compiler?

Learn to Code ships an update every 6 weeks, and Python Compiler every 2 months. Most recently, Learn to Code was updated on October 9, 2026 and Python Compiler on October 2, 2026.

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*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*