Learn Python 3 Programming vs Learn R Programming
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Learn Python 3 Programming
Learn Python 3 programming from scratch with this comprehensive app. It's designed for beginners and experienced programmers looking to enhance their career options in data science and AI. Master real-world applications and build confidence for Python jobs.
- Beginner-friendly Python 3 lessons
- Real-world Python applications
- Career-focused programming skills
- Hands-on teaching approach
- Covers advanced Python features
- Installation guides for all OS
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This app is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that’s what you will get from this app. By the end of the app you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this app, you can become employable and valuable in the eyes of future employers. This is the most comprehensive, yet straight-forward, app for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this app is for you! In this app we will teach you Python 3. Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, Scraping websites for informations, working with image files, and much more! This app will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you! We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered. We cover a wide variety of topics, including: Python Command Line Basics Installing Python Running Python Code Strings Python Python Lists Python Dictionaries Python Tuples Python Sets Python Number Data Types Python Print Formatting Python Functions Python Scope Python args/kwargs Python Built-in Functions Python Debugging and Error Handling Python Modules Python External Modules Python Object Oriented Programming Python Inheritance Python Polymorphism Python File I/O Python Advanced Methods Python Unit Tests and much more! What is this app about? The Python Mega app is an online app that uses a hands-on teaching approach which has proved to be very successful with thousands of students who have taken the app, built their own programs, and even found a Python job afterward. With 50,000+ student reviews and an outstanding 4.6 average rating, this learning package guarantees you will become a Python programmer after successful completion. The app focuses on teaching you Python by building real-world Python programs. That way, you learn the language syntax, but most importantly, you will learn the actual skill of designing and building real-life programs. I don’t know anything about programming. Will I still be able to learn Python? Yes. This app assumes you have no previous knowledge of programming. Whenever a new programming term emerges in the lectures, we will first explain it academically. Then we use it practically in a real-world code example and reuse it in exercises until you learn everything by heart. I know Python basics. Is this app for me? Yes. The first 12 sections of the app cover Python basics. The other 27 sections cover intermediate and advanced Python, and you can jump right into those sections if you know the basics. What does the content include? The app is designed around mastering Python by building ten applications that vary from simple to complex. The ten apps are carefully served to students through a combination of tutorials, coding exercises, quizzes, code notebooks, cheat sheets, and unlimited support from the instructor and the teaching assistant in the app forum. You will also receive an invitation to join our Discord server to chat with other fellow students, participate in code challenges, and get help when you need it to make sure you stay tuned and motivated.
Learn R Programming
Master R programming for data science, statistics, and machine learning on your mobile device. This app offers a comprehensive curriculum, an integrated code compiler, and AI-powered learning tools to help you become a job-ready R developer.
- Core R syntax and programming concepts
- Tidyverse for data manipulation and visualization
- Machine learning algorithms and AI
- Web development with Shiny and APIs
- Integrated R code compiler
- AI-powered learning tools
- Domain-specific tracks
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Learn R Programming: Data Science, Statistics & Machine Learning — All in One App. Master the language that powers the world's top data scientists, biostatisticians, and quantitative analysts. Whether you're a complete beginner or advancing your career, Learn R takes you from your first line of code to building production-ready machine learning models — entirely on your iPhone or iPad. Why Learn R? R is the gold standard for statistical computing, data analysis, and academic research. Used by Harvard, MIT, Pfizer, and the FDA, R opens doors to careers in data science, bioinformatics, finance, geospatial analysis, and AI. Core R Programming: - R syntax, data types, vectors, matrices, data frames, and lists - Control flow, loops, functions, and object-oriented programming - Functional programming with purrr and the apply family - Performance optimization, profiling, and Rcpp integration - Secure coding best practices and memory management Tidyverse & Data Wrangling: - dplyr for lightning-fast data manipulation - ggplot2 for publication-quality visualizations - tidyr, readr, stringr, forcats, and tibble - Modern data pipelines with the pipe operator Data Science & Statistics: - Descriptive and inferential statistics - Hypothesis testing, regression, ANOVA, and probability - End-to-end data science workflows - Exploratory data analysis and data cleaning Machine Learning & AI: -caret, tidymodels, random forests, SVMs, and clustering - Deep learning with Keras, TensorFlow, and Torch for R - Natural language processing (NLP) and text mining - Time series forecasting with ARIMA and Prophet - Reinforcement learning fundamentals - Big data with data.table and sparklyr Web, APIs & Deployment: - Build interactive dashboards with Shiny and shinydashboard - Create REST APIs with Plumber - Web scraping with rvest and httr - Quarto for reports, presentations, and books - Database integration (MySQL, PostgreSQL, MongoDB, SQLite) Domain-Specific Tracks: - Bioinformatics: Bioconductor, genomic data, sequence analysis - Finance: Quantitative analysis, portfolio modeling, risk management - GIS & Spatial: sf, raster, leaflet, and geospatial mapping Career & Ecosystem: - Career paths: data scientist, biostatistician, quant analyst, researcher - Package development and publishing to CRAN - Reproducible research with renv and containers - Git & GitHub for version control - Complementary skills: Python, SQL, Julia, Docker Run Real R Code Anywhere: Our built-in code compiler lets you write and execute R code instantly. Test dplyr pipelines, plot with ggplot2, build regression models, and debug functions — no laptop required. AI-Powered Learning : - Smart Flashcards:AI generates Q&A flashcards from any lesson - Quiz Hints: Progressive Socratic hints when you're stuck - Daily AI Tips: Personalized coding tips every morning - Note Intelligence: Summarize and simplify your notes instantly Quick-Reference Cheat Sheets: 10+ searchable cheat sheets covering R basics, data structures, dplyr, ggplot2, statistics, machine learning, and best practices — always one tap away. Structured for Retention: - Bite-sized lessons designed for mobile - Daily streaks and progress tracking - Bookmark lessons and create personal notes - Offline access to all content Learn R Programming today to start your R coding journey: master R data analysis, ggplot2, dplyr, and every R skill you need!
Screenshots
Verdict
The clearest difference is rating: Learn Python 3 Programming at 4.0 against Learn R Programming's 1.0. Learn Python 3 Programming also leads on iOS requirement (13.0 vs 17). On price, ratings volume, update cadence and ads there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Learn Python 3 Programming costs $1.99 and Learn R Programming $1.99 up front. Neither carries in-app purchases, so what you see is what you pay.
Learn Python 3 Programming holds the better App Store score, 4.0 against 1.0. Both are backed by a comparable volume of ratings — 2 and 1 respectively.
Learn Python 3 Programming ships an update every 13 months, Learn R Programming every 7 months. The most recent releases landed on September 2, 2026 and September 18, 2026 respectively.
| Parameter | Learn Python 3 Programming | Learn R Programming |
|---|---|---|
| Price | $1.99 | $1.99 |
| Rating | 4.0 (2 ratings) — better | 1.0 (1 ratings) |
| Number of ratings | 2 — better | 1 |
| Update frequency | Every 13 months | Every 7 months — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Paid |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 13.0 — better | 17 |
| Further details — not scored | ||
| Size | 33 MB | 173 MB |
| Age rating | 4+ | 9+ |
| Developer | Saqib Masood | Shahbaz Khan |
Customer experience
Learn Python 3 Programming
Learn R Programming
In-app purchases
Learn Python 3 Programming
No in-app purchases
Learn R Programming
No in-app purchases
Questions
Is Learn Python 3 Programming free?
Is Learn R Programming free?
Which has better reviews, Learn Python 3 Programming or Learn R Programming?
Do Learn Python 3 Programming or Learn R Programming have ads?
Which is updated more often, Learn Python 3 Programming or Learn R Programming?
Other comparisons

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