Understanding Python

Python is an interpreted high-level and general-purpose programming language with a dynamic type system and automatic memory management. The official home of the Python programming language is https://www.python.org/. The popularity of Python has risen steadily over the past decade. This is because Python is a very important programming language in some of today's most exciting and challenging technologies. Artificial intelligence (AI), machine learning, neural networks, deep learning, Internet of Things (IoT), and robotics (among others) rely on Python. 

Here are some advantages of Python:

• Python is considered a perfect language for scientific computing, mainly for four reasons:
  • It is very easy to understand.
  • It has support (via packages) for scientific computing.
  • It removes many of the complexities other programming languages have.
  • It has a simple and consistent syntax. 
• Python stimulates rapid prototyping because it helps in easy writing and execution of code. Indeed, Python can implement the same logic with as little as one-fifth of the code as compared to other programming languages. 
• Python has a lot of prebuilt libraries (NumPy, SciPy, scikit-learn) for every need of your AI project. Python benefits from a rich ecosystem of libraries for scientific computing.
• It is an independent platform, which allows developers to save time in testing on different platforms.
• Python offers some tools, such as Jupyter Notebook, that can be used to share scripts in an easy and comfortable way. This is perfect in scientific computing because it stimulates collaboration in an interactive computational environment.