I found a really great beginners tutorial for Python i need to share with others. It’s python by examples.

Found at http://www.lightbird.net/py-by-example/

I read many tutorials and sites dedicated to python, but this one is absolutely a must if you’re a python beginner. It’s loaded with simple examples, and descriptions. It briefly shows you the basics of python , each function is nicely explained with few examples. If you’re interested in learning Python this is the place to start. I personally found few things i did not use and know in python like shelve or inspect.

Here is the huge list of what’s on the page:

• String Services
  • String Module – Common string operations
  • Re Module – Regular expression operations
  • Struct Module – Interpret strings as packed binary data
  • Textwrap Module – Text wrapping and filling
• Data Types
  • Datetime.date Module – Basic date and time types
  • Calendar Module – General calendar-related functions
  • Array Module – Efficient arrays of numeric values
  • Sets Module – Unordered collections of unique elements
  • Pprint Module – Data pretty printer
• Numerical and Math Modules
  • Math Module – Mathematical functions
  • Decimal Module – Decimal fixed point and floating point arithmetic
  • Random Module – Generate pseudo-random numbers
• File and Directory Access
  • Os.path Module – Common pathname manipulations
  • Tempfile Module – Generate temporary files and directories
  • Shutil Module – High-level file operations
  • Glob Module – Unix style pathname pattern expansion
• Data Persistance
  • Pickle – Python object serialization
  • shelve – Python object persistence
  • sqlite3 – interface for SQLite databases
• Data Compression and Archiving
  • gzip – Support for gzip files
• File Formats
  • csv – CSV File Reading and Writing
  • ConfigParser – Configuration file parser
• Operating System Services
  • os – Operating system interfaces
  • Time Module – Time access and conversions
  • optparse – Command line option parser
  • logging – Logging facility for Python
  • Platform Module – Access to underlying platform identifying data
  • Rlcompleter Module – Completion function for GNU readline
• Python Runtime Services
  • Sys Module – System-specific parameters and functions
  • Traceback Module – Print or retrieve a stack traceback
  • Inspect Module – Inspect live objects

Regards M.