Advantages of Python

Python has taken away all the fields of the technology with itself so drastically that for everywhere you go, you’ll find the programming in python. Moreover, this had to be the scenario as there are undoubtedly huge advantages of Python! Exciting, isn’t it?

So what exact benefits does python offer us? Here we enlist a few!

1. Ease of learning:

Syntactically, Python is the easiest language, to begin with. Also in python, the syntax isn’t difficult to learn. The one with no background knowledge of programming also has a cakewalk while learning Python!

2. Focus on Modules:

Python focuses on prototyping a particular module and implementing it. It has devised its coding structure in a way that focuses more on ‘How the code should function and implement?’ rather than ‘How the code should actually be written?’.

3. Libraries in Python:

It has a lot of pre-written functions that make your work easy. Python aims to get the results and analyze it rather than writing all the functions one by one and wasting time and effort on it! You can perform calculations on linear algebra, matrices, etc with one-liner code!

4. Python for Data Science and ML:

Fields like Data Science and Machine Learning which are extensively data-oriented sub-branches of computer science make use of Python for programming. You can access libraries in Python such as ‘seaborn’, ‘numpy’, ‘pandas’ and ‘matplotlib’ that helps the data to be imported from any format into the Python’s working space. You can also perform manipulations such as matrices, data visualization, treatment of null values and plot the predictions of the data can be done in mere hundreds of lines of codes.

Also Read: How To Download And Install Python On Windows 10

5. Extensive support for Python frameworks:thon frameworks allow you to work on your logic than working over the structure of the application. Python frameworks provide you a platform for your application in two ways- full stack and non-full stack. The developer can choose their appropriate framework depending on the size and complexity.

Some of the common web-based frameworks are Django, Web2py, TurboGears, CubicWeb, etc.

6. Database connectivity using Python connectors:

We can import databases or we can connect to the servers of databases using connectors in Python and also, the databases can be manipulated and can be stored back using a common connectivity server. You can also install the connector and import it into Python using this.

7. Open-source community:

Developers and learners of Python can contribute to better versions of Python. You can also provide your contributions to Python’s community developers once you’ve learned Python. You can learn about the community here!