2. Strings
• Strings in Python have type str
• They represent sequence of characters
– Python does not have a type corresponding to
character.
• Strings are enclosed in single quotes(') or
double quotes(“)
– Both are equivalent
• Backslash () is used to escape quotes and
special characters
4. Length of a String
• len function gives the length of a string
n is a single character:
the special character
representing newline
5. Concatenate and Repeat
• In Python, + and * operations have
special meaning when operating on
strings
• + is used for concatenation of (two)
strings
• * is used to repeat a string, an int number
of time
• Function/Operator Overloading
8. Indexing
• Negative indices start counting from the
right
• Negatives indices start from -1
• -1 means last, -2 second last, ...
9. Indexing
• Using an index that is too large or too
small results in “index out of range” error
10. Slicing
• To obtain a substring
• s[start:end] means substring of s starting
at index start and ending at index end-1
• s[0:len(s)] is same as s
• Both start and end are optional
– If start is omitted, it defaults to 0
– If end is omitted, it defaults to the length of
string
• s[:] is same as s[0:len(s)], that is same as s
12. More Slicing
A c a d s
0 1 2 3 4
-5 -4 -3 -2 -1
Understanding Indices for slicing
5
13. Out of Range Slicing
• Out of range indices are ignored for slicing
• when start and end have the same sign, if start
>=end, empty slice is returned
Why?
A c a d s
0 1 2 3 4
-5 -4 -3 -2 -1
14. Changing Case
• string.capitalize() : returns a string with the first
character capitalized and all the rest in lower case.
>>> s1 = "eXamPLe tEXt"
>>> s1.capitalize()
Output: 'Example text'
• string.title() : capitalize every single word in the
string, leaving everything else as lowercase.
>>> s1.title()
Output: 'Example Text'
15. Changing Case
• string.upper() : convert the whole string to uppercase.
>>> s1 = "eXamPLe tEXt"
>>> s1.upper()
Output: 'EXAMPLE TEXT‘
• string.lower() : convert the whole string to lowercase.
>>> s1.lower()
Output: ‘example text'
• string.swapcase() : returns a copy of string with the
uppercase characters converted to lowercase and vice
versa.
>>> s1.swapcase()
Output: 'ExAMplE TexT'
16. Editing Strings
• string.strip([chars]) : returns a copy of the string with chars
removed from the beginning and the end if the sequence is
found. If no arguments are given, then remove whitespace
characters by default.
>>> s2=' hello world'
>>> s2.strip()
Output: 'hello world'
>>> s2=' hello world '
>>> s2.strip()
Output: 'hello world‘
>>> s2='hello world'
>>> s2.strip('he')
Output: 'llo world'
>>> s2.strip('world')
Output: 'hello '
17. Editing Strings
• string.lstrip([chars]): only strip characters from the start of
the string.
>>> s='hello worldhe'
>>> s.strip('he')
Output: 'llo world'
>>> s.lstrip('he')
Output: 'llo worldhe‘
• string.rstrip([chars]): only strip characters from the end of the
string.
• string.replace(old, new) : replace all occurrences of one
substring with another.
>>> s2='Hello World'
>>> s2.replace('H', 'J')
Output: 'Jello World‘
18. Finding Strings
• string.find([char]): get the position of the character in the string.
>>> s='hello world'
>>> s.find('h')
Output: 0
>>> s.find('w')
Output: 6
• string.count([chars]): count the number of times a substring occurs in a
string.
>>> s.count('o')
Output: 2
• string.endswith([chars]): check the string, whether it ends with specified
characters or not. (True/False)
>>> s.endswith('d')
Output: True
>>> s.endswith('ld')
Output: True
>>> s.endswith('o')
Output: False
19. Assignment-1
Q1. Write a program that reads full name as a input and returns
abbreviations of the first and middle names except the last
name.
(Note that the abbreviations must be in capitals. Also, only the
first letter in the Surname must be in upper case).
Example : Input: Sachin Ramesh Tendulkar
Output: S. R. Tendulkar
Q2. Write a program that reads names of two python files and
strips the extension. The filenames are then concatenated to
form a single string. The program then prints 'True' if the
newly generated string is palindrome, or prints 'False'
otherwise.
Example : Input: malay.py aLam.py
Output: True
20. Lists
• Ordered sequence of values
• Written as a sequence of comma-separated
values between square brackets
• Values can be of different types
– usually the items all have the same type
• Lists are mutable, which means we can add or
remove items from a list.
21. Lists
• List is also a sequence type
– Sequence operations are applicable
22. Lists
• List is also a sequence type
– Sequence operations are applicable
Repetition
( )
23. More Operations on Lists
• L.append(x)
• L.extend(seq)
• L.insert(i, x)
• L.remove(x)
• L.pop(i)
• L.pop()
• L.index(x)
• L.count(x)
• L.sort()
• L.reverse()
• max(L)
• min(L)
• test x in L
• test x not in L
x is any value, seq is a sequence value (list, string, tuple, …),
i is an integer value
24. Programming Exercise
Q16. Write a python program to perform following tasks:
- Read a list of integers from a user.
- Remove duplicate values from this list. We call it a
super list. Display contents of the super list
Q17. In a single scan of the super list (generated in Q16),
perform following operations:
- If the number is not perfectly divisible by 3, discard it.
- If the number is greater than 30, add 5 to it. Else,
subtract 5 from it.
- Display contents of the list.
25. Tuples
• A tuple consists of a number of values
separated by commas
• Empty and Singleton Tuples
26. Nested Tuples
• Tuples can be nested
• Note that course tuple is copied into
student.
– Changing course does not affect student
27. More Operations on Tuples
• Tuples can be concatenated, repeated,
indexed and sliced
28. Unpacking Sequences
• Strings and Tuples are examples of
sequences
– Indexing, slicing, concatenation, repetition
operations applicable on sequences
• Sequence Unpacking operation can be
applied to sequences to get the
components
– Multiple assignment statement
– LHS and RHS must have equal length
30. Programming Exercise
Q18. Write a python program to perform following tasks:
- Read tuple elements (integers) from a user.
- Display the sum of tuple elements.
- Count the number of occurrence of each element from a
tuple
31. Sets
• An unordered collection with no duplicate
elements
• Supports
– membership testing
– eliminating duplicate entries
– Set operations: union, intersection, difference,
and symmetric difference.
34. Dictionaries
• Unordered set of key:value pairs,
• Keys have to be unique and immutable
• Key:value pairs enclosed inside curly
braces {...}
• Empty dictionary is created by writing {}
• Dictionaries are mutable
– add new key:value pairs,
– change the pairing
– delete a key (and associated value)
35. Operations on Dictionaries
Operation Meaning
len(d) Number of key:value pairs in d
d.keys() List containing the keys in d
d.values() List containing the values in d
k in d True if key k is in d
d[k] Value associated with key k in d
d.get(k, v) If k is present in d, then d[k] else v
d[k] = v Map the value v to key k in d
(replace d[k] if present)
del d[k] Remove key k (and associated value) from d
for k in d Iterate over the keys in d
40. Programming Exercise
Q19. Given a piece of text, write a program to
build a frequency listing of words and display
them in a sorted order on 'key'.
42. File I/O
• A file is a place on disk where group of related
data are stored.
• Files are persistent storage
• Allow data to be stored beyond program
lifetime
• The basic operations on files are
– open(), close(), read(), write()
• Python treat files as sequence of lines
– sequence operations work for the data read from
files
43. File I/O: open and close
open(filename, mode)
• While opening a file, you need to supply
– The name of the file, including the path
– The mode in which you want to open a file
– Common modes are r (read), w (write), a
(append)
• Mode is optional, defaults to r
• open(..) returns a file object
• close() on the file object closes the file
– finishes any buffered operations
44. • r+ opens a text file in both reading and writing mode
• w+ opens a text file in both reading and writing mode
• a+ opens a text file in both reading and append mode
• rb opens a binary file in reading mode
• wb opens or create a binary file in writing mode
• ab opens a binary file in append mode
• rb+ opens a binary file in both reading and writing mode
• wb+ opens a binary file in both reading and writing
mode
• ab+ opens a binary file for both reading as well as
appending.
46. File I/O: read, write and append
• Reading from an open file returns the
contents of the file
– as sequence of lines in the program
• Writing to a file
– IMPORTANT: If opened with mode 'w',
clears the existing contents of the file
– Use append mode ('a') to preserve the
contents
– Writing happens at the end
52. Random access to files
• How to jump to a given position (byte number) in
a file without reading all the previous data?
• seek (offset, position);
• position: 0 (beginning), 1 (current), 2 (end)
• offset: number of locations to move from position
Example: fo.seek(-m, 1); /* move back by m bytes from
current position */
fo.seek(m,0); /* move to (m+1)th byte in file */
fo.seek(-10, 2);
• fo.tell( ) returns current byte position in file
53. Some more read & write functions
• read() : This function reads the entire file and
returns a string.
• readline() : This function reads lines from
that file and returns as a string.
• readlines() : This function returns a list where
each element is a single line of that file.
• write() : This function writes a fixed sequence
of characters to a file.
• writelines() : This function write a list of
string
54. Programming Exercise
Q20. Write a python program to read the content
from the text file “file.txt” line by line and
display the same on screen.
Q21. Write a python program to count and
display the total number of words in a text file
“file.txt”.
Q22. Write a python program to perform writing
and reading few lines in a text file .
56. Syntax errors
• Syntax errors are generated if the rules for
syntax are not followed while writing a
script in Python.
• Syntax errors are the most basic type of
errors.
• There is no way to successfully execute a
piece of code containing syntax errors.
• Most syntax errors are typos (i.e., typing
errors), incorrect indentation or incorrect
arguments.
57. Exception
• An exception is an error, which happens
during the execution of a program, that
disrupts the normal flow of the program's
instructions.
• In general, when a Python script encounters a
situation that it can't cope with, it raises an
exception.
• For example, trying to open a file that does not
exist, division by zero and so on. Such types of
errors might disrupt the normal execution of
the program and are called exceptions.
58. The raise Statement
• The raise statement can be used to throw an
exception.
• The syntax of raise statement is:
raise exception-name[(optional argument)]
• The argument is generally a string that is
displayed when the exception is raised.
• The error detected may be a built-in
exception or may be a user-defined one
60. The assert Statement
• An assert statement in Python is used
to test an expression in the program code.
• The syntax for assert statement is:
assert Expression[,arguments]
• If this expression is false, an
AssertionError exception is raised which
can be handled like any other exception.
61. Example-The assert Statement
print("use of assert statement")
def negativecheck(number):
assert(number>=0), "OOPS... Negative Number“
print(number*number)
print (negativecheck(100))
print (negativecheck(-350))
use of assert statement
10000
None
Traceback (most recent call last):
File "C:/Python32/Assert.py", line 6, in <module>
print (negativecheck(-350))
File "C:/Python32/Assert.py", line 3, in negativecheck
assert(number>=0), "OOPS... Negative Number"
AssertionError: OOPS... Negative Number
62. Exception Handling
• Every exception has to be handled by
the programmer.
• This is done by writing additional code
in a program to give proper messages or
instructions to the user on encountering an
exception.
• This process is known as exception
handling.
63. Catching Exceptions
• Exceptions, if any, are caught in the try
block and handled in the except block.
• The syntax of try … except clause is as
follows:
try:
[program statements where exceptions might occur]
except [exception-name]:
[code for exception handling if the exception-name error is
Encountered]
64. Example-Catching Exceptions
print ("Practicing for try block")
try:
numerator=50
denom=int(input("Enter the denominator"))
quotient=(numerator/denom)
print ("Division performed successfully")
except ZeroDivisionError:
print ("Denominator as ZERO.... not allowed")
print(“OUTSIDE try..except block”)
65. Multiple except clauses
print ("Handling multiple exceptions")
try:
numerator=50
denom=int(input("Enter the denominator: "))
print (numerator/denom)
print ("Division performed successfully")
except ZeroDivisionError:
print ("Denominator as ZERO is not allowed")
except ValueError:
print ("Only INTEGERS should be entered")
66. except without specifying an
exception
print ("Handling multiple exceptions")
try:
numerator=50
denom=int(input("Enter the denominator: "))
print (numerator/denom)
print ("Division performed successfully")
except ZeroDivisionError:
print ("Denominator as ZERO is not allowed")
except :
print(" OOPS.....SOME EXCEPTION RAISED")
67. try...except…else clause
print ("Handling exception using try...except...else")
try:
numerator=50
denom=int(input("Enter the denominator: "))
quotient=(numerator/denom)
print ("Division performed successfully")
except ZeroDivisionError:
print ("Denominator as ZERO is not allowed")
except ValueError:
print ("Only INTEGERS should be entered")
else:
print ("The result of division operation is ", quotient)
68. finally clause
• finally should always be placed at the end
of try clause, after all except blocks and
the else block.
• The statements inside the finally block
are always executed regardless of whether
an exception has occurred in the try
block or not.
69. Example-finally clause
try:
print ("Handling exception using try...except...else...finally")
numerator=50
denom=int(input("Enter the denominator: "))
quotient=(numerator/denom)
print ("Division performed successfully")
except ZeroDivisionError:
print ("Denominator as ZERO is not allowed")
except ValueError:
print ("Only INTEGERS should be entered")
else:
print ("The result of division operation is ", quotient)
finally:
print ("OVER AND OUT“)
71. Modules
• As program gets longer, need to organize them for
easier access and easier maintenance.
• Reuse same functions across programs without
copying its definition into each program.
• Python allows putting definitions in a file
– use them in a script or in an interactive instance of the
interpreter
• Such a file is called a module
– definitions from a module can be imported into other
modules or into the main module
72. Modules
• A module is a file containing Python definitions
and statements.
• The file name is the module name with the suffix
.py appended.
• Within a module, the module’s name is available
in the global variable __name__.
74. Modules Example
Within a module, the
module’s name is
available as the value of
the global variable
__name__.
75. Importing Specific Functions
• To import specific functions from a module
• This brings only the imported functions in the current
symbol table
– No need of modulename. (absence of fib. in the example)
76. Importing ALL Functions
• To import all functions from a module, in the
current symbol table
• This imports all names except those beginning
with an underscore (_).
77. __main__ in Modules
• When you run a module on the command line with
python fib.py <arguments>
the code in the module will be executed, just as if
you imported it, but with the __name__ set to
"__main__".
• By adding this code at the end of your module
if __name__ == "__main__":
... # Some code here
you can make the file usable as a script as well as an
importable module
78. __main__ in Modules
if __name__ == "__main__":
import sys
print (fib_iter(int(sys.argv[1])))
• This code parses the command line only if
the module is executed as the “main” file:
$ python fib.py 10
55
• If the module is imported, the code is not
run:
>>> import fib
>>>
79. Package
• A Python package is a collection of Python
modules.
• Another level of organization.
• Packages are a way of structuring Python’s module
namespace by using dotted module names.
– The module name A.B designates a submodule
named B in a package named A.
– The use of dotted module names saves the authors of
multi-module packages like NumPy or Pillow from
having to worry about each other’s module names.
82. __init.py__
• The __init__.py files are required to make
Python treat directories containing the file as
packages.
• This prevents directories with a common
name, such as string, unintentionally hiding
valid modules that occur later on the module
search path.
• __init__.py can just be an empty file
• It can also execute initialization code for the
package
84. Importing Modules from Packages
import sound.effects.echo
• Loads the submodule sound.effects.echo
• It must be referenced with its full name:
sound.effects.echo.echofilter(
input, output,
delay=0.7, atten=4
)
85. Importing Modules from Packages
from sound.effects import echo
• This also loads the submodule echo
• Makes it available without package prefix
• It can be used as:
echo.echofilter(
input, output,
delay=0.7, atten=4
)
86. Importing Modules from Packages
from sound.effects.echo import echofilter
• This loads the submodule echo, but this
makes its function echofilter() directly
available.
echofilter(input, output,
delay=0.7, atten=4)
