Software Engineering

__init__.py helps to locate the python moudle location. It's important when you are doing an import a module to another module.

As an important speed-up of the start-up time for short programs that use a lot of standard modules, if a file called "spam.pyc" exists in the directory where "spam.py" is found, this is assumed to contain an already-``byte-compiled'' version of the module spam. The modification time of the version of "spam.py" used to create "spam.pyc" is recorded in "spam.pyc", and the file is ignored if these don't match. Normally, you don't need to do anything to create the "spam.pyc" file. Whenever "spam.py" is successfully compiled, an attempt is made to write the compiled version to "spam.pyc". It is not an error if this attempt fails; if for any reason the file is not written completely, the resulting "spam.pyc" file will be recognized as invalid and thus ignored later. The contents of the "spam.pyc" file is platform independent, so a Python module directory can be shared by mac...

Easy-to-learn Easy-to-read Easy-to-maintain A broad standard library Interactive Mode Portable Extendable Databases GUI Programming Scalable

A programming language with strong similarities to PERL, but with powerful typing and object oriented features. Commonly used for producing HTML content on websites. Great for text files. Useful built-in types (lists, dictionaries). Clean syntax, powerful extensions. Natural Language ToolKit Ease of use; interpreter AI Processing: Symbolic Python’s built-in datatypes for strings, lists, and more. Java or C++ require the use of special classes for this. AI Processing: Statistical Python has strong numeric processing capabilities: matrix operations, etc. Suitable for probability and machine learning code.