Python is a dynamic object-oriented programming language used for web development. This open-source, powerful and object-oriented programming language uses a simple syntax, that improves its readability. Python requires fewer codes that speed up the development process.
As per the Data Science Skills Study, the favorite language of data scientists is Python. The reason behind this growing popularity is that Python includes vast programming communities across the globe. With several libraries available, the data scientists find it much easier to explore a huge amount of available data. Some of the most popular libraries in Python are Panda, Numpy, Sklearn, and MatPlotLib.
According to Analytics India Magazine, Python will dominate the market and continue to be the top choice among data analysts and data scientists. This is reflected in the hiring market with 17% jobs listing Python as a core capability.
Python is highly considered while creating complex multi-protocol network apps. It has
> object-oriented designs
> improved process control capabilities
> better integration as well as text processing capabilities
> Own testing framework
All these features lead to increased productivity and development speed.
Python is developed under an OSI-approved open source license, making it freely usable and distributable. The source code is freely available to the public so that you can download it, change it and distribute it.
The code in Python is portable, hence there is no need to change the code for different platforms. That single code can be run on many platforms.
It is easy to design creative UIs with the help of a standard GUI library called ‘Tk’. Almost all the binary distributions of python get crafted with Tk. Some of the other beneficial toolkits are wxWidgets, Kivy (for writing multi-touch apps), win32 extensions (for Microsoft foundation classes).
Python is highly growing in scientific and numerical computing. Some of the popular packages are:
> SciPy-Cluster of packages for mathematics, science and engineering domains.
> Pandas- a data structuring and modeling library.
> IPython - for easy editing and recording of the work sessions along with parallel computing and visualization support.
> Numpy - for dealing with complicated numerical calculations
Python is highly preferred by engineers, analysts and scientists to run machine learning algorithms. It involves text processing, natural language processing, image processing, and data science. Some of the famous packages used are:
TensorFlow is a free and open-source software library for dataflow and differentiable programming across a number of tasks. It is created and maintained by the Google Brain team.
The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs. It is used for symbolic and statistical language processing for writing English in the Python programming language.
Sci-kit-learn is an open-source Python library that implements a range of machine learning, preprocessing, cross-validation and visualization algorithms using a unified interface.
PyTorch is an open-source deep learning framework. It is designed to provide flexibility and modularity for research purposes. It is developed and maintained by the Facebook AI team.
Python is used in developing high-quality Enterprise Resource Planning (ERP) and eCommerce systems. Some of the software used are:
It is a high-level Python Web framework that encourages rapid development and clean, realistic design.
It is a microweb framework written in Python. It provides tools, libraries, and technologies suitable for building a web app. These web apps could be web pages, a blog, a web-based calendar app or commercial websites.
A management software with a range of business apps that offers a complete suite of enterprise-management apps.
Lines of code