Best Resources to Learn PostgreSQL

PostgreSQL also known as Postgres is a powerful, open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. It is free and is the most advanced open-source database system emphasizing extensibility and SQL compliance.

Tutorials and Courses

  • – This website dedicates to demonstrating the unique features of PostgreSQL that make it the most advanced open-source database management system.
  • The Complete Python & PostgreSQL Developer Course – This course is your one-stop shop for everything Python and PostgreSQL, and the instructor is constantly available to support your learning and answer questions. You can learn two popular languages in one course.
  • PostgreSQL Exercises – PGExercises provides a series of questions and explanations built on a single, simple dataset. It’s designed for use as a partner to a good book or Postgres’ excellent documentation.
  • SQL & PostgreSQL: From Beginner to Pro in 2020 – This course is designed to help you master SQL & PostgreSQL, one of the most highly in-demand skills in the computer science sector today.

PostgreSQL Viewers / GUI Tools

  • pgAdmin – pgAdmin is a web application that works as a browser-based client for PostgreSQL. It works on Windows, Mac, Linux, and the Web.
  • DBeaver – Free multi-platform database tool for developers, database administrators, analysts, and all people who need to work with databases. 
  • Navicat – It is an easy-to-use graphical tool for PostgreSQL database development, it supports integration with popular cloud services such as Amazon Redshift, Amazon RDS, Amazon Aurora, Microsoft Azure, Google Cloud, Tencent Cloud, Alibaba Cloud, and Huawei Cloud.

What is PostgreSQL?

PostgreSQL is the most advanced open-source database in use today, delivering more features and better performance than all competitors. The software is under constant development to work towards improving this fantastic functionality even further.

With an ever-expanding API set and a huge community of users, developers, and contributors alike, it’s hard not to find your dream app with PostgreSQL!

The major benefit of using Postgres rather than a generic RDBMS (e.g., MySQL/MariaDB) goes beyond just its flexibility or long history. Scaling Postgres on Linux allows you to leverage the power of B-tree indexes for added speed without compromising on data integrity. GPII (Granular Page Isolation) feature allows you to use huge pages for I/O-intensive workloads.

It’s also worth mentioning that PostgreSQL is horizontally scalable and can handle a large number of reads and writes. This makes the database particularly beneficial for online applications, which are constantly being updated with new data from users.

Postgres has over several thousand community contributors working to add more modern language support such as Python as well as integrations with many other platforms like R, Ruby, PHP, Django, Rails (Ruby on Rails), NodeJS, etc., resulting in faster development times than ever before!

Nearly all open-source databases suffer from some kind of performance issue or bug at some point in time and by using PostgreSQL you should be safe in the knowledge that any issues will be solved rapidly.

PostgreSQL doesn’t require the developer to use any proprietary APIs and is completely open-source and freely available on most platforms (even without requiring a download for Linux). So if you are used to MySQL or even SQLite, you should find that PostgreSQL has a much friendlier interface.

The PostgreSQL community not only fixes bugs but also frequently offers new features for its users. Many of the bug fixes have already been incorporated into OpenStack Essex/Folsom releases with some coming in later releases as well!

Why You Should Use PostgreSQL?

Here’s why the Postgres developers themselves recommend using it:

It has advanced-level data types, powerful data integrity with checksums for each data block, extremely scalable on multicore and parallel systems. It is fully ACID compliant and supports a full range of powerful query operators with boolean support, joins, aggregates, etc.

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