Founded in 1991 by Guido van Rossum, Python is not only a powerful programming language used by companies such as Google and NASA, it is also simple and easy to learn and is already part of the day to day practice of various development careers.
Check out five careers in the development market that have been using Python for a while.
Django, Flask and Pylons are just a few of the frameworks in the Python web development matrix. Since these structures are also written in this programming language, they are fast and very stable. Giant websites, such as Instagram and Pinterest, are built entirely on such frameworks.
In addition to processing and processing data very easily, Python can support parallel computing, which makes the language ideal for Big Data. Another difference is the libraries for this field, such as Pydoop, Dask, and PySpark, which are also used for processing information.
Some Python libraries, such as Keras and TensorFlow, are capable of bringing machine learning functionality into the programming language. In this way, systems built on the basis of Python are given the opportunity to learn without being explicitly programmed. There are those who believe that artificial intelligence is the next step for the developing universe; if that’s true, Python is willing to deal with the technology.
Python is used to build GUI (Graphical User Interface) and desktop applications and is also widely used in the field of computer graphics. This includes not only small and medium projects, but also larger scale projects with online functionality. For example, the Tkinter library is a quick and easy way to create applications.
For years academics and researchers used the MATLAB language for scientific research, but with the advent of Python and its numerical mechanisms, such as Numpy and Pandas, everything started to change. Therefore, this programming language is preferred by many data scientists today.
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