Knowledge flow - Python Programming
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LEARNING STARTS WITH VIEWING THE WORLD DIFFERENTLY. Knowledge flow- A mobile learning platform provides apps, eBooks and video tutorials. Knowledge flow brings you a learning eBook of Python Programming . This eBook is for all information technology, computer science and engineering students and professionals across the world. Follow us on Facebook Google plus Twitter For more information visit us at Knowledgeflow.in knowledgeflowapps.blogspot.in Thank you for using Knowledge flow eBooks PYTHON PROGRAMMING
- graphical user interfaces
- web frameworks
- multimedia
- databases
- networking
- communications
- test frameworks
- automation
- web scraping
- documentation tools
- system administration
- scientific computing
- text processing
- image processing
- Python implements function like a command line interpreter the user enters the statement in a sequenced manner and receives the results instantly.
- Python shell implement features like auto-completion, retention of session state and syntax highlighting.
- Google started a project in 2009 termed Unladen Swallow whose aim was increasing the speed of Python interpreter as well as improving its multithreading ability to scale to thousands of cores.
- graphical user interfaces
- web frameworks
- multimedia
- databases
- networking
- communications
- test frameworks
- automation
- web scraping
- documentation tools
- system administration
- scientific computing
- text processing
- image processing
- Python implements function like a command line interpreter the user enters the statement in a sequenced manner and receives the results instantly.
- Python shell implement features like auto-completion, retention of session state and syntax highlighting.
- Google started a project in 2009 termed Unladen Swallow whose aim was increasing the speed of Python interpreter as well as improving its multithreading ability to scale to thousands of cores.
Later the project lost Google's back up as well as its main developers.
- Integrated CPython transforms byte code to machine code at runtime and also produces codes specialized for certain data types that is faster than the standard Python code.
Pythons Basic SyntaxPython sample program $ Python Python 2.4.3 (#1, Nov 11 2010, 13:34:43) [GCC 4.1.2 20080704 (Red Hat 4.1.2-48)] on linux2 Type"help","copyright","credits" or"license" for more information Following should be written on the command prompt and the enter key should be pressed >>> print "Hello, Python!"; Output Hello, Python! Identifiers Here are following identifiers conventions declared for python.- All the identifiers are in lower case except the class name which would start with an upper case.
- Identifiers are used for privacy, starting with a single leading underscore.
- If two leading underscore are contained then it contains a strong privacy.
- If it ends with two different underscores then the language is defined special name.
Options and arguments (and corresponding environment variables): -c cmd : program passed in as string (terminates option list) -d : debug output from parser (also PYTHONDEBUG=x) -E : ignore environment variables (such as PYTHONPATH) -h : print this help message and exit. Accessing command line argument It provides a getopt module for accessing a command line. Syntax $ python test.py arg1 arg2 arg3 There are two purpose of it which is as follow.
- List of command line arguments are provided through sys.argv.
- And the total number of command line is Len (sys.argv).
- Numbers
- String
- List
- Tuple
- Dictionary
- Numbers
- String
- List
- Tuple
- Dictionary
Example var1 = 1 var2 = 10 Syntax of delete statement is as follows. del var1[,var2[,var3[....,varN]]]] Syntax for deleting multiple or single objects are as follows. del var del var_a, var_b It supports four different numerical styles which are as follows.
- Int
- Long
- Float
- Complex
- It is identified as the set of characters.
- The plus sign is represented as the string concatenation operator.
- Similarly the asterisk is represented as the repetition operator.
Example #!/usr/bin/python list = [ 'abcd', 786 , 2.23, 'john', 70.2 ] tinylist = [123, 'john'] print list # Prints complete list print list[0] # Prints first element of the list print list[1:3] # Prints elements starting from 2nd till 3rd print list[2:] # Prints elements starting from 3rd element print tinylist * 2 # Prints list two times print list + tinylist # Prints concatenated lists Output ['abcd', 786, 2.23, 'john', 70.200000000000003] abcd [786, 2.23] [2.23, 'john', 70.200000000000003] [123, 'john', 123, 'john'] ['abcd', 786, 2.23, 'john', 70.200000000000003, 123, 'john'] Tuples It is also a similar sequenced data type like list. Example #!/usr/bin/python tuple = ( 'abcd', 786 , 2.23, 'john', 70.2 ) tinytuple = (123, 'john') print tuple # Prints complete list print tuple[0] # Prints first element of the list print tuple[1:3] # Prints elements starting from 2nd till 3rd print tuple[2:] # Prints elements starting from 3rd element print tinytuple * 2 # Prints list two times print tuple + tinytuple # Prints concatenated lists Output ('abcd', 786, 2.23, 'john', 70.200000000000003) Abcd (786, 2.23) (2.23, 'john', 70.200000000000003) (123, 'john', 123, 'john') ('abcd', 786, 2.23, 'john', 70.200000000000003, 123, 'john' Dictionary It is a kind of hash table and the values are enclosed in the curly bracket. Example #!/usr/bin/python dict = {} dict['one'] = "This is one" dict[2] = "This is two" tinydict = {'name': 'john','code':6734, 'dept': 'sales'} print dict['one'] # Prints value for 'one' key print dict[2] # Prints value for 2 key print tinydict # Prints complete dictionary print tinydict.keys() # Prints all the keys print tinydict.values() # Prints all the values Output This is one This is two {'dept': 'sales', 'code': 6734, 'name': 'john'} ['dept', 'code', 'name'] ['sales', 6734, 'john']
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