Generate and update software by writing its code in the programming language that boasts extensive libraries as well as broad interoperability. Written and executed code is optionally tested and adjusted an unlimited number of times via the built-in interpreter.
Python is described as a Dynamic Object-Oriented Programming language, but it can be used for many other purposes as well. The basic advantage of Python relies in its clear syntax, which gives a nice cushion to beginners. What I mean by “clear syntax” is that programming with Python is similar to writing a normal text, very similar to day-to-day English language.
Using Python you can do a lot more things on your own. It helps you to write GUI-based programs, to access your databases, to integrate it with XML data, to perform network-related programming, to extend the programming capabilities of C, to seamlessly integrate with Java, and much more.
Python comes with two types of environments you can work with, namely is “GUI-based Integrated Development Environment” and the classic command line. Python is always known for its quick, robust, reliable, and reusable applications. Its “blocks” programming philosophy helps you to build on scalable projects easily. With its unique memory management (such as the “garbage collection”, in order to clean up memory cycles), it keeps its own place among other programming languages.
Python supports almost all existing platforms. It runs flawlessly with Windows, Linux, UNIX, Mac OS X, OS/2, Amiga, Palm devices, Nokia mobile phones, Java and .Net Virtual Machines.
v3.5.4150 [Sep 13, 2015]
- PEP 441, improved Python zip application support
- PEP 448, additional unpacking generalizations
- PEP 461, "%-formatting" for bytes and bytearray objects
- PEP 465, a new operator (@) for matrix multiplication
- PEP 471, os.scandir(), a fast new directory traversal function
- PEP 475, adding support for automatic retries of interrupted system calls
- PEP 479, change StopIteration handling inside generators
- PEP 484, the typing module, a new standard for type annotations
- PEP 485, math.isclose(), a function for testing approximate equality
- PEP 486, making the Windows Python launcher aware of virtual environments
- PEP 488, eliminating .pyo files
- PEP 489, a new and improved mechanism for loading extension modules
- PEP 492, coroutines with async and await syntax.
