At the beginning stage of my career as a software engineer and robotics / IoT engineer, python programming languages happens to be one of the languages I started with.
Among the major reasons I started with the python programming language was that Python is one of the most popular programming languages, highly used in various sectors such as web software development, task automation, mobile application development, data science and data analytics, embedded systems, etc. Which makes it one of the most in-demand programming languages. And learning how to code in the python programming language would expose me to various tech disciplines and also makes it easier for me to be able to work or specialize in any of these tech disciplines.
As we all know, it is an open-source programming language, and being open-source has greatly improved it as lots of expert programmers has made high and great impacts on its development, and it is now been used by top tech companies and industries such as Google, IBM, Nasa, Netflix, Reddit, Instagram, Pinterest, Facebook, and lot more.
In web software development python is used on the server-side that is the backend, the part of the web software that users or clients can not see. Python is used for sending and retrieving data to and from the server, relating with databases, routing of URLs, and enabling securing. The two common and major frameworks built with python which are Flask and Django. Django is a python backend framework with a very good understanding of python it's easier to work with and the same goes for the flask. Those who use python for web software development include Backend Engineer, Full Stack Engineer, DevOps Engineer, Python Developers, and Software Engineers.
Python is highly used for data analytics and visualization with the help of libraries such as pandas, NumPy, Matplotlib, and others. In analyzing data and creating different kinds of charts such as pie charts, bar charts, histograms, 3D plots, line graphs, and others for visualization of analyzed data With a solid understanding of python data analytics and visualization using these libraries can be done.
Micro-controllers like the Raspberry Pi, Arduino, and other PICs [Programmable Integrated Circuit] can be programmed using python.
With libraries such as Tensorflow, Keras, and others written with python. Machine learning can be done with the python programming language.
Kivy is a mobile application development library of the framework built with python for mobile application development.
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