What is Python?

Python is an object-oriented, high-level programming language with dynamic semantics primarily for web and app development. It is highly used in the Rapid Application Development because it offers dynamic typing and dynamic binding options. Since Python is easy to learn, Developers can read and translate Python code much easier than other languages.This also reduces the program maintenance cost and development cost because it allows team to work collaboratively without significant language and experience barriers.

Python supports the use of modules and packages, hence the programs can be designed in a modular style and the code can be reused across the projects. It can be scaled for use in other projects too and it is easy to import or export these modules. The standard library and interpreter are available at free of cost, in both the binary and source form and therefore it reduces the cost of development. And moreover, Python is relatively easy to learn.

How is Python used?

It is used in various aspects such as

• Software Development
• Server-side Web Development
• Data Science
• System scripting
• Web Automation

Few other Python use-cases

• Python behaves as a general-purpose programming languages and most importantly it a interprer language which means that the written code is not actually translated to a computer-readable format at runtime. Whereas, most of the programming languages do this conversion before the program is even run. These type of languages referred as a "scripting language".
• From the perception of Python being a "scripting language", it has completely changed to write large, commercial style applications, instead of just banal ones. Most of the web applications and platforms rely on Python, including Google's search engine, YouTube and the web-oriented transaction system of NYSE (New York Stock Exchange). Just think, the language must be very important when it deals with stock exchanges. Even NASA, uses Python for programming their equipment and Space Machinery.
• Python is becoming a leading language for many Data Scientist. For many years, Academic scholars and private researchers were using the MATLAB language for Data Science Research but it all changed with the release of Python numerical engines such as 'Numpy' and 'Pandas'. Being a Data Science tool, Python helps to explore the concepts of machine learning. Machine Learning is all about probability, mathematical optimization, and statistics, which are all made easy by Python.