Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.
Web and Internet Development
- Python offers many choices for web development:
- Frameworks such as Django and Pyramid.
- Micro-frameworks such as Flask and Bottle.
- Advanced content management systems such as Plone and django CMS.
Scientific and Numeric
- Python is widely used in scientific and numeric computing.
- The Tk GUI library is included with most binary distributions of Python.
- Python is often used as a support language for software developers, for build control and management, testing, and in many other ways.
- Python is also used to build ERP and e-commerce systems:
Python for data science & machine learning
- Advanced data analysis is one of the most important and rapidly developing areas in the modern IT industry. Python for data analysis is a good pick because the majority of libraries involved in machine learning and data science have Python interface.
Instagram is just great example of a gigantic tech company using Python language in combination with Django (Python’s framework).
Another tech giant Spotify also trusts Python and applies it in its back-end services, as well as for data analysis purposes.
The Amazon company is another big player that involved Python language in its product.That’s possible due to their Python machine learning engine which interacts with company’s database Hadoop.
Of course, we couldn’t omit such giant as Facebook that applies Python largely to process images
Walt Disney Feature Animation
Walt Disney Feature Animation uses python as a scripting language for most of its animation tasks and related production.
It uses python for its internal systems and API’s and for reports generation, log analysis, A/Q and testing, writing core search algorithms, just to name a few.
NASA also uses Python for its various open source projects such as APOD (Astronomy Picture of the Day) API, PyTransit, PyMDP Toolbox, EVEREST etc.
Python is a simple and minimalistic language. Reading a good Python program feels almost like reading English (but very strict English!). This pseudo-code nature of Python is one of its greatest strengths. It allows you to concentrate on the solution to the problem rather than the syntax i.e. the language itself.
Easy to Learn
As you will see, Python is extremely easy to get started with. Python has an extraordinarily simple syntax as already mentioned.
Free and Open Source
Python is an example of a FLOSS (Free/Libre and Open Source Software). In simple terms, you can freely distribute copies of this software, read the software’s source code, make changes to it, use pieces of it in new free programs, and that you know you can do these things.
When you write programs in Python, you never need to bother about low-level details such as managing the memory used by your program.
Due to its open-source nature, Python has been ported (i.e. changed to make it work on) to many platforms.
You can use Python on Linux, Windows, Macintosh, Solaris, OS/2, Amiga, AROS, AS/400, BeOS, OS/390, z/OS, Palm OS, QNX, VMS, Psion, Acorn RISC OS, VxWorks, PlayStation, Sharp Zaurus, Windows CE and PocketPC !
Python supports procedure-oriented programming as well as object-oriented programming. In procedure-oriented languages, the program is built around procedures or functions which are nothing but reusable pieces of programs. In object-oriented languages, the program is built around objects which combine data and functionality.
If you need a critical piece of code to run very fast, you can achieve this by writing that piece of code in C, and then combine that with your Python program.
You can embed Python within your C/C++ program to give scripting capabilities for your program’s users.
The Python Standard Library is huge indeed. It can help you do various things involving regular expressions, documentation generation, unit testing, threading, databases, web browsers, CGI, ftp, email, XML, XML-RPC, HTML, WAV files, cryptography, GUI(graphical user interfaces) using Tk, and also other system-dependent stuff. Remember, all this is always available wherever Python is installed. This is called the “batteries included” philosophy of Python.
Python programming language is undoubtedly dominating the other languages when future technologies like Artificial Intelligence(AI) comes into the play.
Machine Learning- PyML, PyBrain, scikit-learn, MDP Toolkit, GraphLab Create, MIPy etc.
General AI- pyDatalog, AIMA, EasyAI, SimpleAI etc.
Neural Networks- PyAnn, pyrenn, ffnet, neurolab etc.
Natural Language & Text Processing- Quepy, NLTK, gensim
The future scope of python programming language can also be predicted by the way it has helped big data technology to grow. Python has been successfully contributing in analysing the large amount of data sets across computer clusters through its high-performance toolkits and libraries.
Networking is another field in which python has a brighter scope in the future. Python programming language is used to read, write and configure routers and switches and perform other networking automation tasks in a cost effective and secure manner.