Why python is popular?
Python is a general purpose, high level, interpreted language with easy syntax and dynamic semantics. It was created by Van Rossum in 1989. It has an amazing computing power. It is preferred by both beginners and prose alike. It is an open source language.
Python is easy-to-learn yet powerful object oriented programming language. It is a very high level programming language yet as powerful as many other middle-level not so high level languages like C, C++, Java, etc.
Pluses of Python
- Easy to use object oriented language
- Expressive language
- Interpreted language
- Its completeness
- Cross-platform language
- Free and open source
- Variety of usage/Application
Python has evolved into a powerful, complete and useful language over these years. These days Python is being used in many diverse fields/applications, some of which are:
- Scripting
- Web application
- Game development
- System Administration
- Rapid prototyping
- GUI programs
- Database Application
- Data Science
- Machine learning
Python offers many choices for Web development:
- Django
- Pyramid
- Flask
Python’s standard library supports many internet protocols:
- HTML
- XML
- JSON
- FTP, IMAP
Python is widely used in Scientific and Numeric computing:
- SciPy
- Pandas
- IPython
- NumPy
Although, it is not perfect for every type of application, yet it has many strengths that make it a good choice for many situations.
Python is quickly becoming the top choice among developers for artificial intelligence (AI), machine learning, and deep learning projects. I admire Python for the way it let developers express their thoughts into fewer lines of codes than many other languages, but still is readable and modifiable. It is well suited for incremental development. In a rapidly developing field such as ML, where you want to keep up with the others, dealing with simpler code is a game changer.
Python is not just a library. It’s also very versatile and can be used in many applications. It can be used as a database, or as an application for data analysis and visualization purposes. It can be used as a framework for building your own machine learning model, or simply to create a new one.
Python has a large set libraries which can easily be used for machine learning (for e.g. NumPy, SciPy, ScikitLearn, PyBrain etc).
The reason why Python is so popular among software developers and researchers is that it provides a lot of features that can be applied to any type of problem. It is a powerful language with lots of advantages over other languages.
