PYTHON PROGRAMMING
[R17A0554]
LECTURE NOTES
SYLLABUS
L T/P/D C
3
OPEN ELECTIVE III
(R17A0554) PYTHON PROGRAMMING OBJECTIVES:
• To read and write simple Python programs.
• To develop Python programs with conditionals and loops.
• To define Python functions and call them.
• To use Python data structures –- lists, tuples, dictionaries.
• To do input/output with files in Python.
UNIT I
INTRODUCTION DATA, EXPRESSIONS, STATEMENTS
Introduction to Python and installation, data types: Int, float, Boolean, string, and list; variables,
expressions, statements, precedence of operators, comments; modules, functions--- function and its use,
flow of execution, parameters and arguments.
UNIT II
CONTROL FLOW, LOOPS
Conditionals: Boolean values and operators, conditional (if), alternative (if-else), chained conditional
(if-elif-else); Iteration: while, for, break, continue.
UNIT III
FUNCTIONS, ARRAYS
Fruitful functions: return values, parameters, local and global scope, function composition, recursion;
Strings: string slices, immutability, string functions and methods, string module; Python arrays, Access
the Elements of an Array, array methods.
,UNIT IV
LISTS, TUPLES, DICTIONARIES
Lists: list operations, list slices, list methods, list loop, mutability, aliasing, cloning lists, list parameters,
list comprehension; Tuples: tuple assignment, tuple as return value, tuple comprehension; Dictionaries:
operations and methods, comprehension;
UNIT V
FILES, EXCEPTIONS, MODULES, PACKAGES
Files and exception: text files, reading and writing files, command line arguments, errors and
exceptions, handling exceptions, modules (datetime, time, OS , calendar, math module), Explore
packages.
OUTCOMES: Upon completion of the course, students will be able to
Read, write, execute by hand simple Python programs.
• Structure simple Python programs for solving problems.
• Decompose a Python program into functions.
• Represent compound data using Python lists, tuples, dictionaries.
• Read and write data from/to files in Python Programs
TEXT BOOKS
1.Allen B. Downey, ``Think Python: How to Think Like a Computer Scientist‘‘, 2nd edition,
Updated for Python 3, Shroff/O‘Reilly Publishers, 2016. 2.R. Nageswara Rao, “Core Python
Programming”, dreamtech
3. Python Programming: A Modern Approach, Vamsi Kurama, Pearson
REFERENCE BOOKS:
1. Core Python Programming, W.Chun, Pearson.
2. Introduction to Python, Kenneth A. Lambert, Cengage
3. Learning Python, Mark Lutz, Orielly
, INDEX
UNIT TOPIC PAGE NO
INTRODUCTION DATA,
EXPRESSIONS, STATEMENTS
1
Introduction to Python and installation 1
data types: Int 6
float 7
Boolean 8
string 8
List 10
I
variables 11
expressions 13
statements 16
precedence of operators 17
comments 18
modules 19
functions ---- function and its use 20
flow of execution 21
parameters and arguments 26
CONTROL FLOW, LOOPS 35
Conditionals: Boolean values and 35
operators,
II conditional (if) 36
alternative (if-else) 37
chained conditional (if-elif-else) 39
Iteration: while, for, break, continue. 41
FUNCTIONS, ARRAYS 55
Fruitful functions: return values 55
parameters 57
local and global scope 59
function composition 62
, LISTS, TUPLES, DICTIONARIES 78
Lists 78
list operations 79
list slices 80
list methods 81
III recursion
list loop 63
83
Strings: string slices
mutability 64
85
IV immutability
aliasing 66
87
string
cloningfunctions
lists and methods 67
88
string module
list parameters 72
89
Python arrays
list comprehension 73
90
Access
Tuples the Elements of an Array 75
91
Array methods
tuple assignment 76
94
tuple as return value 95
tuple comprehension 96
Dictionaries 97
operations and methods 97
comprehension 102
V FILES, EXCEPTIONS, 103
MODULES, PACKAGES
Files and exception: text files 103
reading and writing files 104
command line arguments 109
errors and exceptions 112
handling exceptions 114
modules (datetime, time, OS , calendar, 121
math module)
Explore packages 134
[R17A0554]
LECTURE NOTES
SYLLABUS
L T/P/D C
3
OPEN ELECTIVE III
(R17A0554) PYTHON PROGRAMMING OBJECTIVES:
• To read and write simple Python programs.
• To develop Python programs with conditionals and loops.
• To define Python functions and call them.
• To use Python data structures –- lists, tuples, dictionaries.
• To do input/output with files in Python.
UNIT I
INTRODUCTION DATA, EXPRESSIONS, STATEMENTS
Introduction to Python and installation, data types: Int, float, Boolean, string, and list; variables,
expressions, statements, precedence of operators, comments; modules, functions--- function and its use,
flow of execution, parameters and arguments.
UNIT II
CONTROL FLOW, LOOPS
Conditionals: Boolean values and operators, conditional (if), alternative (if-else), chained conditional
(if-elif-else); Iteration: while, for, break, continue.
UNIT III
FUNCTIONS, ARRAYS
Fruitful functions: return values, parameters, local and global scope, function composition, recursion;
Strings: string slices, immutability, string functions and methods, string module; Python arrays, Access
the Elements of an Array, array methods.
,UNIT IV
LISTS, TUPLES, DICTIONARIES
Lists: list operations, list slices, list methods, list loop, mutability, aliasing, cloning lists, list parameters,
list comprehension; Tuples: tuple assignment, tuple as return value, tuple comprehension; Dictionaries:
operations and methods, comprehension;
UNIT V
FILES, EXCEPTIONS, MODULES, PACKAGES
Files and exception: text files, reading and writing files, command line arguments, errors and
exceptions, handling exceptions, modules (datetime, time, OS , calendar, math module), Explore
packages.
OUTCOMES: Upon completion of the course, students will be able to
Read, write, execute by hand simple Python programs.
• Structure simple Python programs for solving problems.
• Decompose a Python program into functions.
• Represent compound data using Python lists, tuples, dictionaries.
• Read and write data from/to files in Python Programs
TEXT BOOKS
1.Allen B. Downey, ``Think Python: How to Think Like a Computer Scientist‘‘, 2nd edition,
Updated for Python 3, Shroff/O‘Reilly Publishers, 2016. 2.R. Nageswara Rao, “Core Python
Programming”, dreamtech
3. Python Programming: A Modern Approach, Vamsi Kurama, Pearson
REFERENCE BOOKS:
1. Core Python Programming, W.Chun, Pearson.
2. Introduction to Python, Kenneth A. Lambert, Cengage
3. Learning Python, Mark Lutz, Orielly
, INDEX
UNIT TOPIC PAGE NO
INTRODUCTION DATA,
EXPRESSIONS, STATEMENTS
1
Introduction to Python and installation 1
data types: Int 6
float 7
Boolean 8
string 8
List 10
I
variables 11
expressions 13
statements 16
precedence of operators 17
comments 18
modules 19
functions ---- function and its use 20
flow of execution 21
parameters and arguments 26
CONTROL FLOW, LOOPS 35
Conditionals: Boolean values and 35
operators,
II conditional (if) 36
alternative (if-else) 37
chained conditional (if-elif-else) 39
Iteration: while, for, break, continue. 41
FUNCTIONS, ARRAYS 55
Fruitful functions: return values 55
parameters 57
local and global scope 59
function composition 62
, LISTS, TUPLES, DICTIONARIES 78
Lists 78
list operations 79
list slices 80
list methods 81
III recursion
list loop 63
83
Strings: string slices
mutability 64
85
IV immutability
aliasing 66
87
string
cloningfunctions
lists and methods 67
88
string module
list parameters 72
89
Python arrays
list comprehension 73
90
Access
Tuples the Elements of an Array 75
91
Array methods
tuple assignment 76
94
tuple as return value 95
tuple comprehension 96
Dictionaries 97
operations and methods 97
comprehension 102
V FILES, EXCEPTIONS, 103
MODULES, PACKAGES
Files and exception: text files 103
reading and writing files 104
command line arguments 109
errors and exceptions 112
handling exceptions 114
modules (datetime, time, OS , calendar, 121
math module)
Explore packages 134
