As a programmer, you are always looking out for a language that is easy to learn, free, cross-platform, has a great developer community support, and good in-built features that could help you develop your applications quickly. You may wonder if such a language exists. The answer is ‘Yes’, and it is Python.
Every programming language has provision for data structures. In the Python programming language, there are a total of 4 inbuilt data structures. These are namely list, tuple, dictionary, and set. Each of them is unique in its own right.
NumPy, also known as Numerical Python, was created by Travis Oliphant, accomplished by blending the features of Numarray into a Numeric package. NumPy has acted as a “replacement” for Matlab (used for technical computing) in the past; How? The combination of NumPy with packages like SciPy (known as Scientific Python) and Mat−plotlib (plotting library), has been treated as a Python Alternative to Matlab, thus being observed as a more modern and organized programming language. Since NumPy is open source, it is an extra advantage for programming aspirants and experienced developers.
Python is not just one of the leading programming languages, but also a top choice for dealing with big data and data science projects. The fact that it is among the easiest languages to learn makes the high-level, interpreted, general-purpose programming language even more lucrative.
For using Python on a system, the user first needs to install the Python environment. It will also install the Python interpreter, which is responsible for carrying out Python code execution. It is possible to run Python code directly from the terminal using the Python interpreter.