Learn PostgreSQL Offline vs Learn Scrapy
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.
Learn Scrapy
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Learn Scrapy: Master Web Scraping with Python โ The Complete Learning App Master the art of web scraping with the most comprehensive Scrapy learning app on the App Store! Whether you're a beginner exploring data extraction or a developer building production-grade crawlers, this app provides everything you need to become a Scrapy expert. What's Inside: 80+ Interactive Lessons Dive into expertly crafted lessons covering the entire Scrapy ecosystem: - Fundamentals of Web Scraping - Understanding web scraping concepts and ethics - HTTP requests, responses, and status codes - HTML, CSS, and XPath essentials - Legal considerations and robots.txt - APIs vs. Scraping โ when to use each - Introduction to Scrapy Framework - Scrapy architecture and components - Installing and setting up Scrapy - Understanding Spiders, Items, and Pipelines - Project structure and configuration - Running spiders from terminal - Spiders in Detail - Creating custom spiders and callbacks - CrawlSpider vs BaseSpider - Rules and LinkExtractors - Pagination and recursive crawling - Handling start URLs and allowed domains - Item and ItemLoaders - Defining Item classes - Using ItemLoaders for data cleaning - Input and Output processors - Data validation techniques - Exporting to JSON, CSV, and databases - Pipelines and Data Processing - Writing custom pipelines - Data cleaning and normalization - Database integration - Deduplication strategies - Middleware and Request Handling - Custom middleware development - Request/Response processing - Handling authentication and cookies - Key Features: - Interactive Quizzes โ Test your knowledge after every lesson with multiple-choice questions designed to reinforce key concepts - Progress Tracking โ Track your learning streak, completed lessons, and quiz scores. Stay motivated with visual progress indicators - Dark & Light Themes โ Learn comfortably with customizable themes that protect your eyes - Offline Learning โ Access all lessons without an internet connection. Learn anywhere, anytime - Search Functionality โ Quickly find topics, syntax, and concepts with powerful search - Expert Tips โ Discover pro tips and best practices from industry experts Why Learn Scrapy? Scrapy is the industry-standard framework for large-scale web crawling and data extraction. Used by data scientists, market researchers, and developers worldwide, Scrapy enables you to: Extract structured data from websites automatically Build powerful data pipelines for analytics Monitor competitors and market trends Aggregate content from multiple sources Power machine learning datasets - Perfect For: Python developers expanding their toolkit Data scientists needing web data Beginners learning web scraping Students studying data extraction Professionals automating data collection Download now and start your journey to becoming a web scraping expert!
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Verdict
The clearest difference is price: Learn PostgreSQL Offline at $1.99 against Learn Scrapy's $2.99. On ads, in-app purchases, device support and iOS requirement 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 Learn Scrapy $2.99 up front. Neither carries in-app purchases, so what you see is what you pay.
| Parameter | Learn PostgreSQL Offline | Learn Scrapy |
|---|---|---|
| Price | $1.99 โ better | $2.99 |
| Update frequency | Every 41 months | โ |
| Ads | No | No |
| In-app purchases | No | No |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 13.0 | 13.0 |
| Further details โ not scored | ||
| Size | 39 MB | 65 MB |
| Age rating | 4+ | 9+ |
| Developer | Muhammad Mubeen | Shahbaz Khan |
In-app purchases
Learn PostgreSQL Offline
No in-app purchases
Learn Scrapy
No in-app purchases
Questions
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Is Learn Scrapy free?
Do Learn PostgreSQL Offline or Learn Scrapy have ads?
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