What is Python?
It is a high-level programming language that implies it can be easily be understood by humans rather than understanding binary code, which is the ultimate fate of any program which has to be executed. It is object-oriented and interpreted.
Here are the top 5 reasons why you must learn python right now:
1. Ever-changing industry:
The software industry is ever-changing. A few years back Java was in trend and now it is Python which was first released in 1991. Remember that no programming language stays in the trend forever. So be ready to learn more languages in the future, but for now, get started with python as in today’s industry it is in high demand and is a valued language. There are only a few domains where we don’t find its extensive application, so learning it is of no loss to you.
2. Python evolves:
The reason why I like Python is that it has libraries and modules for almost anything. Some examples are libraries for data science, artificial intelligence, machine learning, and so on. With each releasing version, new features are added and revisions are made to make the language more convenient for programmers.
3. In demand:
Python is the developer’s language. It finds its application in task automation, artificial intelligence, software development, and website development. Most importantly, it is a user-friendly language with active community support. The community offers resources in learning as well as doubt solving. Hence, it becomes one of the most friendly languages. There are many job opportunities for a python developer and knowing this language can benefit you in your career.
The code written in Python is simple to understand as is readable like English, so unnecessary complications are avoided. The syntax of Python does not use curly braces for defining blocks of statements making the code look neat. The use of indentation instead of curly braces makes the code neat and not jumbled up. This format reduces the extra effort.
Python as a programming language finds its application in various fields. Some of them are listed below:
- Data Science
- Artificial Intelligence
- Machine learning
- Web development
- Game development