What is Python?
"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. The Python interpreter and the extensive
standard library are available in source or binary form without charge
for all major platforms, and can be freely distributed.
Often, programmers fall in love with Python because of the
increased productivity it provides. Since there is no compilation
step, the edit-test-debug cycle is incredibly fast. Debugging Python
programs is easy: a bug or bad input will never cause a segmentation
fault. Instead, when the interpreter discovers an error, it raises an
exception. When the program doesn't catch the exception, the
interpreter prints a stack trace. A source level debugger allows
inspection of local and global variables, evaluation of arbitrary
expressions, setting breakpoints, stepping through the code a line at
a time, and so on. The debugger is written in Python itself,
testifying to Python's introspective power. On the other hand, often
the quickest way to debug a program is to add a few print statements
to the source: the fast edit-test-debug cycle makes this simple
approach very effective"
i find Python to be very easy for starters (like myself). With using IDLE to code and test your programs is simple and effective
if your a coder, i reccomend giving it a try ^.^
Download Link:
**If you dont know how to install it tell me and ill post a tutorial**
Change Log for v3.3
"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. The Python interpreter and the extensive
standard library are available in source or binary form without charge
for all major platforms, and can be freely distributed.
Often, programmers fall in love with Python because of the
increased productivity it provides. Since there is no compilation
step, the edit-test-debug cycle is incredibly fast. Debugging Python
programs is easy: a bug or bad input will never cause a segmentation
fault. Instead, when the interpreter discovers an error, it raises an
exception. When the program doesn't catch the exception, the
interpreter prints a stack trace. A source level debugger allows
inspection of local and global variables, evaluation of arbitrary
expressions, setting breakpoints, stepping through the code a line at
a time, and so on. The debugger is written in Python itself,
testifying to Python's introspective power. On the other hand, often
the quickest way to debug a program is to add a few print statements
to the source: the fast edit-test-debug cycle makes this simple
approach very effective"
i find Python to be very easy for starters (like myself). With using IDLE to code and test your programs is simple and effective
if your a coder, i reccomend giving it a try ^.^
Download Link:
- Spoiler:
- http://www.python.org/download/
**If you dont know how to install it tell me and ill post a tutorial**
Change Log for v3.3
- Spoiler:
- 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.
- New yield from expression for generator delegation.