What makes Python so unique is that the scientific community loves it. It has become the de-facto standard for people working in Artificial Intelligence, Machine Learning, Data Science, Academics, Computer Vision, Image Processing and even biology.
Python is terrific for analyzing vast chunks of data because of its broad library of utilities available in Open Source. That’s not all; Python has also made its name in Web Development with frameworks like Django!
- Object-Oriented Programming: It is an Object-Oriented language, but you can switch to functional programming if needed.
Most Browser Engines are now providing support for ES6.
Python and Its Features
Python is a general-purpose, high-level programming language. It gained popularity due to its simplicity for writing short programs and the vast array of libraries available in the Open Source universe. Some key features of Python are:
- Syntax: Python has an elegant and straightforward coding syntax as compared to Java, C, and C++. This feature makes Python easier to learn as a beginner.
- Object-Oriented Programming: Python is a robust Object-Oriented Programming Language. The Object-Oriented paradigm makes it a powerful tool amongst its competitors like Java.
- Built-in Library: Python comes with a sizable in-built library so that it can support most programming tasks.
- Cross-Platform Support: Python comes with excellent OS support, can run on: Windows, macOS, Unix, OS/2, etc.
However, we cannot run Python on Mobile devices out-of-the-box.
- Open Source: Python has excellent open-source support concerning developer tools and libraries.
- Scalability: Python codebases are easy to maintain and debug.
Since Python is a High-Level Programming language, you don’t have to deal with memory freeing or garbage collection, although some knowledge will help you build scalable applications.
- Database Support: Python enjoys excellent support for Databases, for example, MySQL, psycopg2 (PostgreSQL), Cx-oracle (Oracle Database) etc.
|The Java language doesn’t care whether the parameters that are passed to the function are correct or not.||If the incorrect parameters are passed to a function in Python, an exception is thrown.|
2. /* Multi
|There’s no multi-line comment in Python; you can just add a # followed by a comment. # This is a comment|
So, which language should you learn? The key takeaway here is, it depends on the why.
Python is also an excellent high-level programming language that developers and students can use to analyze extensive data, AI, ML, and build tools for academic research.
If you’re looking to choose between the two, the following FAQs might help.
Both of them are simple and easy to learn, so it ultimately depends on your use case. Python will come in handy with its inbuilt data structures and library support for most academic reasons, like a course in Data Structures & Algorithms or a project in AI/ML.
Although, in terms of the learning curve, Python is said to be easier.
Simple answer, no.
3. How long will it take to learn Python?
It usually depends on the person learning the language; however, one can understand the Python syntax in a couple of days if you’re familiar with any other programming language. Here’s a handy cheat sheet to help you out.
For a complete beginner, it may take a week to learn and reach a comfortable level in Python.
Of course, you can. Barring some syntax, both these programming languages have very similar logic and structure. More often than not, developers can use concepts from one programming language in the other.