Learn PostgreSQL Offline vs PyStudy
Price, ratings, monetisation and update history for both apps, side by side โ with what reviewers say about each.
Learn PostgreSQL Offline
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PostgreSQL is a popular relational database management system (RDBMS). Our PostgreSQL tutorial provides basic and advanced concepts of PostgreSQL. In this tutorial, we are going to learn all the topics of PostgreSQL language, such as create a database, drop a database, select database, select table, update a record, create a table, delete record, drop table, triggers, functions, insert the record, procedures, cursors, etc. - What is PostgreSQL Database? PostgreSQL is an ORDBMS [Open-Source Object-Relational Database Management System]. It is used to store data securely; supporting best practices, and allow recovering them when the request is processed. - History of PostgreSQL PostgreSQL was developed by the PostgreSQL Global Development Group, which is led by a computer science professor named Michael Stonebraker at the University of California, Berkeley [UCB]. The professor's stonebreaker started in 1986 as a follow-up project and a post-Ingres project to overcome the problems of the existing database system. Initially, it was called as Postgres, but in 1996, the project was renamed to PostgreSQL. Then again, in 2007, they did some analysis, and the development team decided to preserve the name as PostgreSQL. And now, it is the most innovative open-source database available in the market.
PyStudy
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PyStudy is a focused learning companion for anyone who wants to build real confidence with Python and core programming concepts through short lessons, guided practice, daily challenges, and repeatable review. Instead of pushing you through long chapters, PyStudy breaks learning into clear units, practical exercises, syntax references, and flashcards that are easy to return to whenever you have a few minutes. Start with structured topics that move from Python fundamentals into variables, strings, lists, dictionaries, functions, control flow, object-oriented programming, scientific computing, NumPy, Pandas, SciPy, data visualization, applied math, and machine learning concepts. Each topic is organized so you can read, practice, check your understanding, and keep moving without losing your place. The lessons are built for learners who want practical examples and clear explanations, not abstract theory alone. The Daily Challenge gives you one focused coding prompt at a time. Read the question, fill in the missing blank, check your answer, and review the explanation when you need it. The format helps you practice exact syntax, built-in functions, methods, operators, and common patterns in a low-pressure way. Small wins add up, and daily repetition helps turn recognition into memory. PyStudy also includes flashcards for quick review. Flip through questions and answers, revisit tricky cards, and use unit-based study sessions to reinforce what you have already learned. Flashcards are especially useful when you want to review terms, syntax, examples, and concepts without starting a full lesson. For quick lookup, PyStudy includes reference screens built for scanning. Browse Python syntax, programming concepts, code examples, definitions, and useful patterns, then favorite items you want to revisit. Favorites make it easier to build your own review list from the material that matters most to your current study goals. The interface is designed to stay calm and readable while you work. High-contrast screens, clear cards, comfortable spacing, adaptive type, and theme choices help keep attention on the lesson. The layout is made for vertical study sessions, so you can move through units, challenges, flashcards, and references with simple scrolling and direct navigation. PyStudy supports multiple interface languages, including English, German, Chinese, French, Italian, and Spanish. You can switch the app language from settings while keeping programming terms and code examples clear and recognizable. This makes the learning flow more comfortable for multilingual learners while preserving the accuracy of technical content. Use PyStudy to learn from scratch, review before class, sharpen syntax, build daily practice habits, or keep a compact programming reference close by. Whether you are writing your first list, reviewing loops and functions, exploring data science libraries, or checking a quick Python concept, PyStudy gives you a clean place to study and come back stronger.
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Verdict
The clearest difference is update cadence: PyStudy at every 2 months against Learn PostgreSQL Offline's every 41 months. Learn PostgreSQL Offline's advantage is price ($1.99 vs $6.99) and iOS requirement (13.0 vs 15.1). On ads, in-app purchases and device support there is nothing between them.
Scored on Price ยท Rating ยท Positive reviews ยท Number of ratings ยท Update frequency ยท Ads ยท In-app purchases ยท Monetization ยท Best chart rank ยท Devices ยท Requires iOS
Learn PostgreSQL Offline costs $1.99 and PyStudy $6.99 up front. Neither carries in-app purchases, so what you see is what you pay.
Learn PostgreSQL Offline ships an update every 41 months, PyStudy every 2 months. The most recent releases landed on August 12, 2026 and August 7, 2026 respectively.
| Parameter | Learn PostgreSQL Offline | PyStudy |
|---|---|---|
| Price | $1.99 โ better | $6.99 |
| Update frequency | Every 41 months | Every 2 months โ better |
| Ads | No | No |
| In-app purchases | No | No |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 13.0 โ better | 15.1 |
| Further details โ not scored | ||
| Size | 39 MB | 69 MB |
| Age rating | 4+ | 4+ |
| Developer | Muhammad Mubeen | SimTeCon GmbH |
In-app purchases
Learn PostgreSQL Offline
No in-app purchases
PyStudy
No in-app purchases
Questions
Is Learn PostgreSQL Offline free?
Is PyStudy free?
Do Learn PostgreSQL Offline or PyStudy have ads?
Which is updated more often, Learn PostgreSQL Offline or PyStudy?
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