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Python 3.3.5150

Free Creates, edits, modifies and integrates applications
3.9 
Latest version:
3.12.2 See all

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.


v3.3.5150 [Sep 29, 2012]
New syntax features:
New yield from expression for generator delegation.
The u'unicode' syntax is accepted again for str objects.
New library modules:
faulthandler (helps debugging low-level crashes)
ipaddress (high-level objects representing IP addresses and masks)
lzma (compress data using the XZ / LZMA algorithm)
unittest.mock (replace parts of your system under test with mock objects)
venv (Python virtual environments, as in the popular virtualenv package)
New built-in features:
Reworked I/O exception hierarchy.
Implementation improvements:
Rewritten import machinery based on importlib.
More compact unicode strings.
More compact attribute dictionaries.
Significantly Improved Library Modules:
C Accelerator for the decimal module.
Better unicode handling in the email module (provisional).
Security improvements:
Hash randomization is switched on by default.

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