Python vs SQL

Python vs SQL | Which One is The Best And Why?

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Python vs SQL is not as common as we compare two programming languages. Usually, you have seen comparisons of scripting languages such as Php vs Python. And the comparison of query languages such as MySQL vs MongoDB and so on.

But in this comparison, we are going to compare a universal programming language and a query language.  Both of these programming languages are used to perform different tasks. But there are some similarities between both of these languages. Although SQL is used to gather, manipulate, and extract the database.

At the same time, Python is a general-purpose programming language that can be used to perform almost anything. Such as mobile app development, desktop app development, artificial intelligence, data science, etc. 

But keep in mind that both of these programming languages can be used together to get the best results. Let’s get started with Python vs SQL comparison:- 

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Is Python better than SQL?

Python is better than SQL because Python can work with SQL. But SQL doesn’t have any ability to work without Python. SQL allows the programmers to join several data together with ease.

On the other hand, Python provides ease for structured data that can be fetched using SQL. It is quite easy to perform various operations with the data using Python. But it is a challenging job to do using only SQL. So in this comparison of Python vs SQL, Python is the clear winner.

Should I learn SQL or Python first?

From my personal experience, you should learn Python first and then learn SQL. But keep in mind that you need not finish Python first and then start learning SQL. On the contrary, you should always learn SQL and Python because you need both of them throughout your programming journey.

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And having a good command over both of them is always a great choice. But, of course, this case is only applicable if you are a Python programmer. 

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What is the difference between Python and SQL?

There are a lot of difficulties between Python and SQL, but here we can discuss a fundamental difference between Python and SQL. Python is a general-purpose programming language. That is why it is quite flexible and offers various features. Therefore programmers love Python to code.

On the other hand, SQL is a Structured Query Language used to access and manipulate databases. It is the language for databases, and its major role is to communicate with databases.

Can Python be used as SQL?

In most cases, it is not possible to perform every SQL operation using Python. But Yes, you can use Python instead of SQL. Microsoft has made it possible to embed Python code directly into SQL. In this comparison of Python vs SQL, we can say that SQL is a winner because it works with almost every programming language.

Python

Python need not have an introduction in this technological world. It is one of the most powerful and versatile programming languages for creating apps and websites. It is also the leading programming language for data science, machine learning, artificial intelligence, and many more.

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Moreover, Python is a limitless programming language. In other words, we can say that it extends its features and abilities. Nowadays, Python is almost everywhere, and we need to use it for various purposes.

Therefore, numerous libraries, modules, and packages allow the programming to do almost everything. Moreover, Python is quite easy to learn, elegant, and reliable.  You don’t need to spend too much time and put lots of effort into learning Python.

That is why it is a beginner-friendly language, and lots of programmers find it quite comfortable with this language. In the past few years, Python has grown at a rapid pace like no other programming language.

It is a high-level, general-purpose programming language and is used in almost every real-world application. It also integrates with modern programming languages such as Go, Ruby, Perl, and many more. That is why Python is still popular, even if it is one of the oldest programming languages.

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The main goal behind Python is to provide one of the simplest programming languages for programming. That is why it has the most readable syntax, powerful data structures, and many more. It is also the best choice for rapid application development. 

Fun Fact: Python inspired many non-programming professionals to switch their careers and be Python programmers. 

SQL

SQL stands for the structure query language. As the name suggests, it is all about queries. As we know that we need to store data online, and it is known as a database. But working on databases is not possible with only programming languages.

That is why we need to have language that can work with databases. And this language is known as SQL. With the help of this super effective language, we can easily insert, delete, append and manipulate data with databases. 

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It is quite easy to manage and manipulate data using SQL. It is the most powerful language to communicate with databases. SQL is the only language that allows you to communicate with databases anytime. You can fulfill your database requirements using this language.

Also Read

Types of SQL

SQL is not a single type. It is divided into various types. Here in this blog, we are going to discuss three types of SQL:-

MySQL

MySQL contains tables that are linked to each other in a specific way. MySQL is one of the most popular SQL in the world. It works seamlessly with PHP. Therefore it is the default SQL for WordPress. It is pronounced “My Sequel.” 

PostgreSQL

PostgreSQL is the most powerful SQL in the world. It is also known as Postgres. This SQL is specially designed for highly skilled professionals. It is considered the powerful version of MySQL. 

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SQLite

SQLite is the lightest version of SQL. It is used to manage simple application testing. One of the best uses of SQLite is the Android operating system. Android uses it quite efficiently to perform various operations. 

Python vs SQL Tabular Form

 PythonSQL
Foundedfounded in 1991 by Guido Van RossumFounded in 1974  by Donald D. Chamberlin and Raymond F. Boyce.
ProsVersatile, dynamic, easy, broad scope, and powerfulThe easy learning curve, English-like syntax, easy to implement
ConsSteeper learning curve than SQLLimited usage for relational databases only.
Web LibrariesLibraries, Modules, and packages for performing almost anythingDon’t have any web libraries. It doesn’t offer or require anything
Types  Python 2 and Python 3 with lots of other variants of these types like 3.0.2 etc.MySQL, SQL Server, PostgreSQL, SQLite
UsageGoogleYouTubeNetflixDropboxApart from that Python is the first choice for data science and machine learning. Nothing can be done with SQL over the internet because it is used to interact with databases at the backend.

Python vs SQL trends

Here we can see that Python is more popular than SQL, and there is no chance that SQL can take over Python in terms of popularity. Would you please keep in mind that the Blue graph indicates Python, and the Red graph indicates SQL?

Use cases for SQL and Python

SQL is designed to work with databases and extract data from tables inside the database. Therefore, it is quite easy to join massive amounts of data together using SQL. You can also combine data from multiple tables easily.

SQL is used for basic manipulation of data, i.e., insert, delete, append, update, etc. But when it comes to manipulating the data at a higher level, i.e., using statistics operations, SQL is not that powerful or capable. 

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On the other hand, Python is more capable of performing almost all high-end data manipulation using its most powerful data analysis library called Pandas. It is specially designed for data analysis and data science.  This is the major point to compare Python vs SQL.

Conclusion

It is the end of our blog on Python vs SQL. As you have seen, SQL has its advantages over Python. And Python has its advantages over SQL. But we can say that both of these programming languages are quite important for beginners.

If you want to start your career as a programmer, you should start learning SQL even if you are going with any programming language. SQL works seamlessly with databases. But there are lots of features added to SQL over the past few years. 

On the other hand, Python is also becoming more powerful with every passing year. It has an ocean of libraries, packages, and modules for data science, machine learning, artificial intelligence, and many other technologies.

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Likewise, SQL also can integrate with almost every programming language. That is why most of the tech giants rely on Python.  Now you can easily choose the best between Python vs SQL

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