Python pros and cons

 

What are the benefits of programming in Python?

 High level language

Python is a high-level language, so it's easier to use than low-level ones. Elements of natural language can be used to program with Python, as it has a syntax similar to English, making it easy to read, write, and learn. 

Versatile and paradigmatic

Python can be used for various purposes. It is a great option for software development as it allows developers to use great frameworks like Django and Flask. Also, it can be used for web scripting, desktop GUI development, or data science. Also, Python is considered a multi-paradigm language, supporting structured, functional, and object-oriented programming.  

Libraries and frameworks

Python has a wide collection of libraries and frameworks. The Python standard library is very extensive, as it contains many built-in modules. Additionally, Python users can also find additional libraries available at PyPI (Python Package Index). For Data Science Python has libraries to handle mathematical and scientific functions like TensorFlow, PyTorch or NumPy. 

Portability

Python is compatible with all operating systems (macOS, Linux, UNIX, and Windows), and programmers only need to write code once and then it can run everywhere. 

Low learning curve

The simplicity of Python's syntax allows you to write fully functional programs in just a few lines of code, so its learning curve is very low. In just a few days of learning Python, anyone can write simple programs.

Disadvantages of Python

Although Python has many advantages, it also has a few notable disadvantages. 

Memory consumption

When a task requires a lot of memory, Python is not the best option. Python's memory consumption is very high, and this is due to the flexibility of data types. 

Mobile development

Python is great for desktop and server platforms, but for mobile development it's not a very suitable language. For this reason, we rarely see mobile applications developed with Python.  

Dynamically Typed

Python is dynamically typed, for that reason variable types are determined at runtime. While dynamic typing offers flexibility, it can also lead to errors if it is not properly managed.