Python is an interpreted, high-level, general-purpose programming language. The design philosophy
behind Python emphasizes proper code readability, easy to use syntax and numerous applications &
discipline-specific packages (modules). Python’s object-oriented approach enables programmers to
enumerate clear, logical, reusable, concise and readable codes for small- and large-scale projects.
Developed under an OSI-approved open source license, Python is free to
use and distribute, commercially and personally. Python, by nature, is a high-level
programming language allowing for the creation of simple as well as intricate
operations. Python has many features, termed modules, that are valuable to researchers,
students, academicians, and corporations, in diversified disciplines.
SciPy is a Python-based
ecosystem of open-source software
for mathematics, science, and
NumPy is a library for the
Python programming language,
adding support for large, multi-
dimensional arrays and matrices.
SymPy is an open-source
Python library for symbolic
Matplotlib is a plotting
library for the Python programming
Seaborn provides a high-level interface for drawing attractive and informative statistical
Statsmodels allows users to explore data, estimate statistical models, and perform
Plotly's Python graphing library makes interactive, publication-quality graphs.
Graph-tool is a Python module for manipulation and statistical analysis of graphs
PANDAS is written for the Python programming language for data manipulation and analysis.
Keras is an open-source neural-network library written in Python
TensorFlow is a Python-friendly open source library for numerical computation that makes
machine learning faster and easier.
Scikit-learn is a free software machine learning library for the Python programming
mlpy provides a wide range of state-of-the-art machine learning methods for supervised and
Python is making impacts almost anywhere.Python is "a great glue language that
lets disparate code inter-operate. World renowned enterprises invest in the Python development
framework to integrate and improve their existent established codes. Python offers academicians,
students, researchers, and corporations to develop, implement, integrate, and establish
programming codes for data science(s), business informatics and scientific research.
We welcome you to advance your Python skills with following courses:
Python has a reputation as being one of the most accessible and intuitive
programming languages for students.
Python’s extensive collection of libraries and modules coupled with an easy to decipher syntax
enables engineers to solve intricate problems efficiently.
Python’s data analysis capabilities have gotten much more powerful with the
proliferation of scientific computing modules
Frameworks based on Python are extensively used for building prototypes imparting efficiency,
manageability, and upgradability.
Public healthcare one of the most challenging fields and Python is performing
very well here.
Python scripts instructions into executable programs that run by
themselves on different web-applications without the need to use Python to interpret the code.
Researchers, students, academicians, and institutions indulged in Natural Science research avail
Python features exclusively for simulating codes, data analysis, databases, graphical
visualization and participate in-house software development.
Python incorporates modules and packages beneficial for students, researchers, academicians, and
corporations from all disciplines of science, technology, medicine, and management. The ease of
readability, portability and version control enables Python to be the programming software of choice
Python’s features allows ourselves to those that are most useful for doing physics calculations.
Python provides a great platform for chemists to predict the possible reactions and other
chemical changes using algorithms.
Python is a superb language for teaching programming, both at the introductory level and in
more advanced courses.
Python is also used to build ERP and industrial management systems as well.
Python excels at data munging. Budding researchers often seem to under-estimate how
much time they will be spending on manipulating, reshaping, and processing their data.
Python, a modern programming language with a well-established ecosystem, is
particularly useful for all data related work in the social sciences.
Python could manage linguistic analysis of donation appeals and tweets using Python’s
Natural Language Tool Kit.
Economists have always had to crunch and test data sets, and now they use Python to
Python allow to post-process data that stem from large-scale numerical simulations
Python offers a virtual experimental space, so that you can conduct a pilot based upon
real life conditions
The emergence of open-source language automation presents tremendous
opportunities in health research by Python-based machine leaning.
Python is one potential solution to diagnostic challenges, particularly when applied to image
recognition in oncology and pathology.
Python offers an interactive environment in which to explore procedural, functional and
object-oriented approaches. It is surely making inroads at all levels in education.
The companies using python services come in all sizes
In this fast-paced software development environment, speed and the right tools are a must.
Corporations invest in resources who are well versed in easy to use software development
Python is the successful choice of corporations and tell them more about famous
companies that use Python – one of the most effective languages of programming.
With the surgence of data driven approaches like machine learning, big data, artificial
intellegence and business informatics, Python enables you to easily formulate proprietary codes,
professionally debug them and to implement them according to any companies needs.
Designed to facilitate data analysis and visualization, Python is a general-purpose programming
language aimed for easy readability, portability, and efficient coding practices. Python is used by
web designers & scientists, to develop desktop & web applications, and scientific & numeric
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Python is the most popular programming language and software development framework for data science
worldwide. This claim is verified by IEEE, which tracks programming languages by popularity.
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