program on python what is python where it was started by whom started

1. Python Overview • Python is a high-level, interpreted, interactive and object oriented-scripting language. • Python was designed to be highly readable which uses English keywords frequently where as other languages use punctuation and it has fewer syntactical constructions than other languages.

• Python is Interpreted: This means that it is processed at runtime by the interpreter and you do not need to compile your program before executing it. This is similar to PERL and PHP. • Python is Interactive: This means that you can actually sit at a Python prompt and interact with the interpreter directly to write your programs. • Python is Object-Oriented: This means that Python supports Object-Oriented style or technique of programming that encapsulates code within objects. • Python is Beginner's Language: Python is a great language for the beginner programmers and supports the development of a wide range of applications, from simple text processing to WWW browsers to games.

Compiling and interpreting • Many languages require you to compile (translate) your program into a form that the machine understands. • Python is instead directly interpreted into machine instructions. compile execute output source code Hello.java byte code Hello.class interpret output source code Hello.py

History of Python: • Python was developed by Guido van Rossum in the late eighties and early nineties at the National Research Institute for Mathematics and Computer Science in the Netherlands. • Python is derived from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, and Unix shell and other scripting languages. • Python is copyrighted, Like Perl, Python source code is now available under the GNU General Public License (GPL). • Python is now maintained by a core development team at the institute, although Guido van Rossum still holds a vital role in directing it's progress.

Python Features • Easy-to-learn: Python has relatively few keywords, simple structure, and a clearly defined syntax. • Easy-to-read: Python code is much more clearly defined and visible to the eyes. • Easy-to-maintain: Python's success is that its source code is fairly easy-to-maintain. • A broad standard library: One of Python's greatest strengths is the bulk of the library is very portable and cross-platform compatible on UNIX, Windows, and Macintosh. • Interactive Mode: Support for an interactive mode in which you can enter results from a terminal right to the language, allowing interactive testing and debugging of snippets of code.

Python Features (cont’d) • Portable: Python can run on a wide variety of hardware platforms and has the same interface on all platforms. • Extendable: You can add low-level modules to the Python interpreter. These modules enable programmers to add to or customize their tools to be more efficient. • Databases: Python provides interfaces to all major commercial databases. • GUI Programming: Python supports GUI applications that can be created and ported to many system calls, libraries, and windows systems, such as Windows MFC, Macintosh, and the X Window system of Unix. • Scalable: Python provides a better structure and support for large programs than shell scripting.

Python Environment • Unix (Solaris, Linux, FreeBSD, AIX, HP/UX, SunOS, IRIX etc.) • Win 9x/NT/2000 • Macintosh (PPC, 68K) • OS/2 • DOS (multiple versions) • PalmOS • Nokia mobile phones • Windows CE • Acorn/RISC OS • BeOS • Amiga • VMS/OpenVMS • QNX • VxWorks • Psion • Python has also been ported to the Java and .NET virtual machines.

2. Python - Basic Syntax • Interactive Mode Programming: >>> print "Hello, Python!"; Hello, Python! >>> 3+4*5; 23

• Script Mode Programming : Invoking the interpreter with a script parameter begins execution of the script and continues until the script is finished. When the script is finished, the interpreter is no longer active. For example, put the following in one test.py, and run, print "Hello, Python!"; print "I love COMP3050!"; The output will be: Hello, Python! I love COMP3050!

Python Identifiers: • A Python identifier is a name used to identify a variable, function, class, module, or other object. An identifier starts with a letter A to Z or a to z or an underscore (_) followed by zero or more letters, underscores, and digits (0 to 9). • Python does not allow punctuation characters such as @, $, and % within identifiers. Python is a case sensitive programming language. Thus Manpower and manpower are two different identifiers in Python.

Python Identifiers (cont’d) • Here are following identifier naming convention for Python: – Class names start with an uppercase letter and all other identifiers with a lowercase letter. – Starting an identifier with a single leading underscore indicates by convention that the identifier is meant to be private. – Starting an identifier with two leading underscores indicates a strongly private identifier. – If the identifier also ends with two trailing underscores, the identifier is a language-defined special name.

Reserved Words: and exec not assert finally or break for pass class from print continue global raise def if return del import try elif in while else is with except lambda yield Keywords contain lowercase letters only.

Lines and Indentation: • One of the first caveats programmers encounter when learning Python is the fact that there are no braces to indicate blocks of code for class and function definitions or flow control. Blocks of code are denoted by line indentation, which is rigidly enforced. • The number of spaces in the indentation is variable, but all statements within the block must be indented the same amount. Both blocks in this example are fine: if True: print "Answer“; print "True" ; else: print "Answer“; print "False"

Multi-Line Statements: • Statements in Python typically end with a new line. Python does, however, allow the use of the line continuation character () to denote that the line should continue. For example: total = item_one + item_two + item_three • Statements contained within the [], {}, or () brackets do not need to use the line continuation character. For example: days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']

Quotation in Python: • Python accepts single ('), double (") and triple (''' or """) quotes to denote string literals, as long as the same type of quote starts and ends the string. • The triple quotes can be used to span the string across multiple lines. For example, all the following are legal: word = 'word' sentence = "This is a sentence." paragraph = """This is a paragraph. It is made up of multiple lines and sentences."""

Comments in Python: • A hash sign (#) that is not inside a string literal begins a comment. All characters after the # and up to the physical line end are part of the comment, and the Python interpreter ignores them.

Using Blank Lines: • A line containing only whitespace, possibly with a comment, is known as a blank line, and Python totally ignores it. • In an interactive interpreter session, you must enter an empty physical line to terminate a multiline statement.

Multiple Statements on a Single Line: • The semicolon ( ; ) allows multiple statements on the single line given that neither statement starts a new code block. Here is a sample snip using the semicolon: import sys; x = 'foo'; sys.stdout.write(x + 'n')

Multiple Statement Groups as Suites: • Groups of individual statements making up a single code block are called suites in Python. Compound or complex statements, such as if, while, def, and class, are those which require a header line and a suite. Header lines begin the statement (with the keyword) and terminate with a colon ( : ) and are followed by one or more lines which make up the suite. if expression : suite elif expression : suite else : suite

3. Python - Variable Types • Variables are nothing but reserved memory locations to store values. This means that when you create a variable you reserve some space in memory. • Based on the data type of a variable, the interpreter allocates memory and decides what can be stored in the reserved memory. Therefore, by assigning different data types to variables, you can store integers, decimals, or characters in these variables.

Assigning Values to Variables: • Python variables do not have to be explicitly declared to reserve memory space. The declaration happens automatically when you assign a value to a variable. The equal sign (=) is used to assign values to variables. counter = 100 # An integer assignment miles = 1000.0 # A floating point name = "John" # A string print counter print miles print name

Multiple Assignment: • You can also assign a single value to several variables simultaneously. For example: a = b = c = 1 a, b, c = 1, 2, "john"

Standard Data Types: Python has five standard data types: • Numbers • String • List • Tuple • Dictionary

Python Numbers: • Number data types store numeric values. They are immutable data types, which means that changing the value of a number data type results in a newly allocated object. • Number objects are created when you assign a value to them. For example: var1 = 1 var2 = 10 Python supports four different numerical types: • int (signed integers) • long (long integers [can also be represented in octal and hexadecimal]) • float (floating point real values) • complex (complex numbers)

Number Examples: int long float complex 10 51924361L 0 3.14j 100 -0x19323L 15.2 45.j -786 0122L -21.9 9.322e-36j 80 0xDEFABCECBDAECBFBAEl 32.3+e18 .876j -490 535633629843L -90 -.6545+0J -0x260 -052318172735L -3.25E+101 3e+26J 0x69 -4721885298529L 70.2-E12 4.53e-7j

Python Strings: • Strings in Python are identified as a contiguous set of characters in between quotation marks. • Python allows for either pairs of single or double quotes. Subsets of strings can be taken using the slice operator ( [ ] and [ : ] ) with indexes starting at 0 in the beginning of the string and working their way from -1 at the end. • The plus ( + ) sign is the string concatenation operator, and the asterisk ( * ) is the repetition operator.

Example: str = 'Hello World!' print str # Prints complete string print str[0] # Prints first character of the string print str[2:5] # Prints characters starting from 3rd to 6th print str[2:] # Prints string starting from 3rd character print str * 2 # Prints string two times print str + "TEST" # Prints concatenated string Output: Hello World! H llo llo World! Hello World!Hello World! Hello World!TEST

Python Lists: • Lists are the most versatile of Python's compound data types. A list contains items separated by commas and enclosed within square brackets ([]). • To some extent, lists are similar to arrays in C. One difference between them is that all the items belonging to a list can be of different data type. • The values stored in a list can be accessed using the slice operator ( [ ] and [ : ] ) with indexes starting at 0 in the beginning of the list and working their way to end-1. • The plus ( + ) sign is the list concatenation operator, and the asterisk ( * ) is the repetition operator.

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', 70.2] abcd [786, 2.23] [2.23, 'john', 70.2] [123, 'john', 123, 'john'] ['abcd', 786, 2.23, 'john', 70.2, 123, 'john']

Python Tuples: • A tuple is another sequence data type that is similar to the list. A tuple consists of a number of values separated by commas. Unlike lists, however, tuples are enclosed within parentheses. • The main differences between lists and tuples are: Lists are enclosed in brackets ( [ ] ), and their elements and size can be changed, while tuples are enclosed in parentheses ( ( ) ) and cannot be updated. Tuples can be thought of as read-only lists.

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', 70.2) abcd (786, 2.23) (2.23, 'john', 70.2) (123, 'john', 123, 'john') ('abcd', 786, 2.23, 'john', 70.2, 123, 'john')

Python Dictionary: • Python 's dictionaries are hash table type. They work like associative arrays or hashes found in Perl and consist of key- value pairs. • Keys can be almost any Python type, but are usually numbers or strings. Values, on the other hand, can be any arbitrary Python object. • Dictionaries are enclosed by curly braces ( { } ) and values can be assigned and accessed using square braces ( [] ).

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']

Data Type Conversion: Function Description int(x [,base]) Converts x to an integer. base specifies the base if x is a string. long(x [,base] ) Converts x to a long integer. base specifies the base if x is a string. float(x) Converts x to a floating-point number. complex(real [,imag]) Creates a complex number. str(x) Converts object x to a string representation. repr(x) Converts object x to an expression string. eval(str) Evaluates a string and returns an object. tuple(s) Converts s to a tuple. list(s) Converts s to a list. set(s) Converts s to a set. dict(d) Creates a dictionary. d must be a sequence of (key,value) tuples. frozenset(s) Converts s to a frozen set. chr(x) Converts an integer to a character. unichr(x) Converts an integer to a Unicode character. ord(x) Converts a single character to its integer value. hex(x) Converts an integer to a hexadecimal string. oct(x) Converts an integer to an octal string.

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