Python_slides.pdf

Introduction to Python
Sisir Kumar Jena
Assistant Professor, CSE
Graphic Era Hill University

Sisir Kumar Jena
What is Python?
• An object-oriented scripting
language.
• It is a high-level, interpreted,
general-purpose programming
language.
• Released publicly in 1991.
• Developed by: Guido van
Rossum
Guido van
Rossum

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Why Python in Popular?
• Its open source, free and widely available with a massive open-source
community.
• It’s easier to learn than languages like C, C++, C# and Java, enabling
novices and professional developers to get up to speed quickly.
• It’s easier to read than many other popular programming languages.
• It’s widely used in education.
• It enhances developer productivity with extensive standard libraries
and thousands of third-party open-source libraries, so programmers
can write code faster and perform complex tasks with minimal code.

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• There are massive numbers of free open-source Python applications.
• It’s popular in web development (e.g., Django, Flask).
• It supports popular programming paradigms—procedural, functional,
object oriented.
• There are lots of capabilities for enhancing Python performance.
• It’s used to build anything from simple scripts to complex apps with
massive numbers of users, such as Dropbox, YouTube, Reddit,
Instagram and Quora.

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• It’s popular in artificial intelligence, which is enjoying explosive
growth, in part because of its special relationship with data science.
• It’s widely used in the financial community.
• There’s an extensive job market for Python programmers across many
disciplines, especially in data-science-oriented positions, and Python
jobs are among the highest paid of all programming jobs.

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History
• 1980s: Beginning the development of Python
• Guido van Rossum worked that time in a project at the CWI, called
Amoeba, a distributed operating system.
• The language, he used at that time is the ABC language.
• Van Rossum began exploring a scripting language with a syntax similar
to ABC but with access to the Amoeba system calls. As a result, Van
Rossum set out to create a new simple scripting language that could
overcome ABC’s limitations.
• He gave the name to its newly created language “Python”.
• First released in 1991 as Python 0.9.0.

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Why the name “Python” ?
• Rossum, wanted his new language’s name to be short, original, and
mysterious.
• The name was inspired by Monty Python’s Flying Circus, a BBC
comedy series.

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Python Versions
• First released it in 1991 as Python 0.9.0.
• Python 2.0 was released in 16 October 2000 and introduced new
features such as list comprehensions, cycle-detecting garbage
collection, reference counting, and Unicode support.
• Python 3.0, released in 3 December 2008, was a major revision that is
not completely backward-compatible with earlier versions.
• Python 2 was discontinued with version 2.7.18 in 2020.
• Latest stable version is Python 3.10

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Python versions
Python 2 Python 3
Released Year: 2000 Relesed Year: 2008
More complex Syntax as compared to Python 3 Syntax is easy and simple
By default, Strings are saved in ASCII format By default, String are saved in UNICODE format
Print is a statement. Syntax: print “hello world” Print is a function. Syntax: print (“hello world”)
Exception should be enclosed in notations Exception should be enclosed in parentheses
To perform iterations, xrange() is used To perform iterations Range() is used

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Features of Python
• Open source: Python is publicly available open-source software.
• Easy-to-learn: Popular (scripting/extension) language, clear and easy
syntax, no type declarations, automatic memory management, high-level
data types and operations, design to read (more English like syntax) and
write (shorter code compared to C, C++, and Java) fast.
• High-level Language: Python is an example of a high-level language like C,
C++, Perl, and Java with low-level optimization.
• Portable: High level languages are portable, which means they are able to
run across all major hardware and software platforms with few or no
change in source code.
• Object-Oriented: Python is a full-featured object-oriented programming
language, with features such as classes, inheritance, objects, and
overloading.

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Features of Python
• Python is Interactive: Python has an interactive console where you get a Python
prompt (command line) and interact with the interpreter directly to write and
test your programs. This is useful for mathematical programming.
• Interpreted: Python programs are interpreted, takes source code as input, and
then compiles (to portable byte-code) each statement and executes it
immediately.
• Extendable: Python is often referred to as a "glue" language, meaning that it is
capable of working in mixed-language environment. The Python interpreter is
easily extended and can add a new built-in function or modules written in
C/C++/Java code.
• Libraries: Databases, web services, networking, numerical packages, graphical
user interfaces, 3D graphics, others.
• Supports: Support from online Python community

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Setting up your programming environment
• Python is a cross-platform programming language, which means it
runs on all the major operating systems.

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Python on Windows
• Windows doesn’t always come with Python, so you’ll probably need
to install it, and then install Sublime Text.
• Check whether Python is installed on your system:
• In the command prompt window, enter python in lowercase. If you get a
Python prompt (>>>) in response, Python is installed on your system.
• If error, goto https://www.python.org/downloads/

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Python on Windows

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Python on Windows
• Running Python in a terminal

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Python on Windows
• Enter the following line in your Python session, and make sure you
see the output Hello Python interpreter!
• To close the terminal session, press ctrl-Z and then press enter, or
enter the command exit().
• You can install sublime text at https://sublimetext.com/.

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Python on MacOS
• Python is already installed on most macOS systems, but it’s most
likely an outdated version that you won’t want to learn on.
• Check whether Python is installed on your system:
• Open a terminal window by going to Applications  Utilities  Terminal.
• You can also press spacebar, type terminal, and then press enter.

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Python on MacOS
• To see which version of Python is installed, enter python with a
lowercase p—this also starts the Python interpreter within the
terminal, allowing you to enter Python commands.
• Once you’ve seen this output, press ctrl-D or enter exit() to leave the
Python prompt and return to a terminal prompt.

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Python on MacOS
• To check whether you have Python
3 installed, enter the command
python3.
• If Python 3 isn’t installed by default,
you’ll need to install it manually.
• When you’re finished, enter the
following at a terminal prompt:
$ python3 -- version
Python 3.10.5

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Python on Linux
• Linux systems are designed for programming, so Python is already
installed on most Linux computers.
• Checking your version of Python
• Open a terminal window by running the Terminal application on your system
(in Ubuntu, you can press ctrl-alt-T).
• To find out whether Python is installed, enter python with a lowercase p.

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Python on Linux
• To check for Python 3, you might have to specify that version; try the
command python3:

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Python on Linux
• Installing a Text Editor
• Geany is a simple text editor: it’s easy to install.
• Running your first program
• Open Geany
• Save an empty Python file (File  Save As) called hello_world.py. The
extension .py tells Geany your file will contain a Python program.
• After you’ve saved your file, enter the following line:

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Running your first program
• Install Sublime text

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Install Sublime text

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• First create a folder at your
desired location and name
it as per your choice.
• It’s best to use lowercase
letters and underscores for
spaces in file and folder
names, because Python
uses these naming
conventions.

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• Type the first line as
shown in the image.
• Press ctrl+B to run your
code.
• The output is shown in the
image on right.

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References
• Book Reference
• Matthes, Eric. Python crash course: A hands-on, project-based introduction to
programming. no starch press, 2019.
• Deitel, P., and H. Deitel. "Introduction to Python for Computer Science and
Data Science." (2020).
• Cite Reference: accessed on 16th June 2022.
• https://docs.python.org/3.4/tutorial/
• https://intellipaat.com/blog/tutorial/python-tutorial/
• https://www.w3schools.com/python/python_intro.asp
• https://www.javatpoint.com/python-tutorial
• https://www.scaler.com/topics/python/what-is-python/
• https://www.w3resource.com/python/python-tutorial.php

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Content
• IDLE
• Comments
• Variables
• Keywords
• Quotations
• Input and Output

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Getting Started
• After the installation, you can see a python environment IDLE is
installed in your Windows machine.
• IDLE stands for Integrated Development and Learning Environment.

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IDLE
• Interactive Mode

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IDLE
• Interactive Mode
• If we want to repeat prior command in interactive window, you can use  key
to scroll backward through commands history and  key to scroll forward. Use
Enter key to select it. Using these keys, your prior commands will be recalled
and displayed, and we may edit or rerun them.
• You can quit the interpreter by pressing Ctrl+D.
• To restart the interpreter, you can type Ctrl+F6 will restart the shell.
• You can also use commands as follows to know more:
• credits
• copyright
• license()
• help()

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IDLE
• Script Mode
• In interactive mode you can run small piece of code and you can not save it.
For running large programs and saving for future, you need to use script
mode.

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IDLE
• Script Mode
• Execute the code using RUN option or press Ctrl + F5

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Comments
• In Python we use
# symbol to write
comments.
This is a
comment line

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Comments
• When # is written inside two bouble
quote it is considered as a character.
• You can write multi line comment by
putting a # in front of each line.

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Variables
• Variables are names given to memory locations.
• We can store any value in that location and refer it by the variable
name.
23
age
A memory segment
Variable Name
Variable Value

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Variables
• In python, variable do not require declaration.

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Variables
• Let's try a simple example:

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Variables
• In python, a variable can store any type of data.

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Variables
• You can assign a single value to multiple variables or multiple values
to multiple variables in a single statement.

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Variables
• Referring a variable that was not assigned a value causes error.

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Variables
• You can delete a variable in use at any point of time using del
statement.

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Variables
• Naming a variable
• Variable names can contain only letters, numbers, and underscores. They can
start with a letter or an underscore, but not with a number. For instance, you
can call a variable message_1 but not 1_message.
• Spaces are not allowed in variable names, but underscores can be used to
separate words in variable names. For example, greeting_message works,
but greeting message will cause errors.
• Avoid using Python keywords and function names as variable names; that is,
do not use words that Python has reserved for a particular programmatic
purpose, such as the word print.

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Variables
• Naming Variables
• Variable names should be short but descriptive. For example, name is better
than n, student_name is better than s_n, and name_length is better
than length_of_persons_name.
• Be careful when using the lowercase letter l and the uppercase letter O
because they could be confused with the numbers 1 and 0.
• It is better to use lower case letter to name a variable.

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Keywords (Reserved Words)
• These words have predefined meaning and known to Python
interpreter.
• We can not use these words for any other purpose; like declaring
variables using these words causes error.
and break continue del else
exec for global import is
not pass raise try with
assert class def elif except
finally from if in lambda
or print return while yield

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Keywords (Reserved Words)
• What happen when I am trying to use keywords as variable name?

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Indentation
• Indentation is the leading whitespace ( spaces and tabs ) before any
statement in Python.
• Python treats the statements with the same indentation level
(statements with an equal number of whitespaces before them) as a
single code block.

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Indentation
• A program with proper indentation does not lead to any error.

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Indentation
• Improper indentation leads to syntactical error.

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Indentation
• You can use any number of space
to indent your code, but it should
be at least one.
• Better way to indent is to use tab
key.

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Indentation
• You have to use the same
number of spaces in the
same block of code.

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Quotations
• Python uses three types
quotations to represent string:
• Single quote ('string')
• Double quote ("string")
• Triple quote ('''string''')
• The most common use of
single quote and double quote
is to enclose string.

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Quotations
• We should not mix the quotations, otherwise it will lead to error.

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Quotations
• If your string itself contains single or double quote, then escaping
them is easy in Python.
• Let your string contains a double quote (or a single quote) that you want to
print, then enclose the entire string using single quote (or double quote).

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Quotations
• If your string contains both single quote and double quote and you
want to print them, then use triple quote to enclose the entire string.

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Quotations
• Another use of triple quote to enclose multiple lines.

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Input and Output
• As like other programming language, the programmer sometimes
require inputs from the user and act upon that input.
• Python provides a function to read inputs from the user:
• input()
• input()
• This function reads the input from the user, convert it into string, and then
assign it to the variable.

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Input and Output

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References
• Book Reference
• Matthes, Eric. Python crash course: A hands-on, project-based
introduction to programming. no starch press, 2019.
• Deitel, P., and H. Deitel. "Introduction to Python for Computer Science
and Data Science." (2020).
• Reema, Thareja. "Python Programming: Using Problems Solving
Approach." (2020).
• Websites: Accessed on 5th July 2022
• https://www.w3schools.com/python/gloss_python_indentation.asp
• https://www.scaler.com/topics/python/indentation-in-python/

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Content
• Data Types
• Operators

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Data Types
• We can store different type of data in a variable.
• Standard data types supported in Python is given below:
Data Types
Numbers
String Lists
Dictionary
Tuple
Sets
Integers Floating Point Complex
Boolean
Sequences

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Numbers
• Integers
• var = 45
• Floating Points
• var = 8.98
• Complex
• var = 45j

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Strings
• A string is a series of characters.
• Anything inside quotes is considered a string in Python.
• Example:
• 'this is a string'
• "this is a string"
• '''this is a string'''

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Strings
• You can store an entire string inside a variable.

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Strings
• Individual characters in a
string can be accessed
through its index number.
• Index numbers can be
positive or negative.

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String
G R A P H I C E R A H I L L
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
-16 -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1
String
Index
Index

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String
• String slicing

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Strings
• You can skip characters at regular
interval.
• You can reverse the string by using
-1 as reverse skipping.
• You can not slice string in reverse
order.

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Strings
• Home Task
• What happen to this code?
>>> univ="Graphic Era Hill"
>>> univ[::-2]
>>> univ[:15:]
>>> univ[:5:]
>>> univ[:5:1]
>>> univ[:5:2]
>>> univ[:5:-1]
>>> univ[0:16:1:1]

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Strings
• String Concatenation
• String Repetition
(Multiplication)

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String Functions
• len()
• Find the length of a string
• casefold()
• Convert to lower case
• lower()
• Convert to lower case
• upper()
• Convert to upper case
• title()
• Convert first character of each word
to upper case
• swapcase()
• Convert lower to upper and vice versa

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String functions
• capitalize()
• Capitalize the first character
of a string
• count()
• Count the number of
occurrences of a substring
• index()
• Searches the string for a
specified value and returns
the position of where it was
found
• find()
• Searches the string for a
specified value and returns
the position of where it was
found

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String Functions
• isalnum()
• Returns True if all characters in the
string are alphanumeric
• isalpha()
string are in the alphabet
• isdigit()
string are digits

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String Functions
• You can find more string functions at:
• https://www.w3schools.com/python/python_ref_string.asp

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Operators
• Operators are symbols used for performing an operation on
operands.
• In Python, the operators are classified as follows:
• Arithmetic operators
• Comparison (relational) operators
• Logical operators
• Assignment operators
• Identity operators
• Membership operators
• Bitwise operators

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Arithmetic Operators
Operator Name Example
+ Addition x + y
- Subtraction x - y
* Multiplication x * y
/ Division x / y
% Modulus x % y
** Exponentiation x ** y
// Floor division x // y

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Comparison Operator
Operator Name Example
== Equal x == y
!= Not equal x != y
> Greater than x > y
< Less than x < y
>= Greater than or equal to x >= y
<= Less than or equal to x <= y

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Logical Operator
Operator Description Example
and Returns True if both x < 5 and x < 10
statements are true
or Returns True if one of x < 5 or x < 4
the statements is true
not Reverse the result, returns not(x < 5 and x < 10)
False if the result is true

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Logical Operator

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Assignment Operator
Operator Example Same As
= x = 5 x = 5
+= x += 3 x = x + 3
-= x -= 3 x = x - 3
*= x *= 3 x = x * 3
/= x /= 3 x = x / 3
%= x %= 3 x = x % 3

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Assignment Operator
Operator Example Same As
//= x //= 3 x = x // 3
**= x **= 3 x = x ** 3
&= x &= 3 x = x & 3
|= x |= 3 x = x | 3
^= x ^= 3 x = x ^ 3
>>= x >>= 3 x = x >> 3
<<= x <<= 3 x = x << 3

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Identity Operator
Identity operators are used to compare the objects, not if they are
equal, but if they are actually the same object, with the same memory
location.
is Returns True if both variables are the x is y
same object
is not Returns True if both variables are not x is not y
the same object
Not in
Course

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Membership Operator
Membership operators are used to test if a sequence is presented in an
object
in Returns True if a sequence with the x in y
specified value is present in the object
not in Returns True if a sequence with the x not in y
specified value is not present in the object
Not in
Course

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Bitwise Operator
Operator Name Description
& AND Sets each bit to 1 if both bits are 1
| OR Sets each bit to 1 if one of two bits is 1
^ XOR Sets each bit to 1 if only one of two bits
is 1
~ NOT Inverts all the bits
<< Zero fill left shift Shift left by pushing zeros in from the
right and let the leftmost bits fall off
>> Signed right shift Shift right by pushing copies of the
leftmost bit in from the left, and let the
rightmost bits fall off

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Bitwise Operator

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References
• Book Reference
Approach." (2020).
• Websites: Accessed on 6th July 2022
• https://www.w3schools.com/python/python_operators.asp
• https://www.w3schools.com/python/python_ref_string.asp

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Content
• Basics of List Data Structure
• Changing, adding, and deleting in List
• Organizing a List
• Printing a list in reverse order
• Finding the length of a list

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Basics of List Data Structure
• What is a List?
• A list is a collection of items in a particular order.
• You can put anything you want into a list, and the items in your list don’t have
to be related in any particular way.
• it’s a good idea to make the name of your list plural, such as letters,
digits, or names.
• In Python, square brackets ([]) indicate a list, and individual elements in the
list are separated by commas.

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• Lists are ordered collections; you
can access any item by
specifying its index number.

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programming english math chemistry physics
0 1 2 3 4
-5 -4 -3 -2 -1
subjects

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Basics
of
List
Data
Structure programming english math chemistry physics
0 1 2 3 4
-5 -4 -3 -2 -1
subjects

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graphic era 2011 8.98 dehradun 25
0 1 2 3 4
-5 -4 -3 -2 -1
info
Basics
of
List
Data
Structure

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• You can format the elements
of a list by using different
string methods.
0 1 2 3 4
-5 -4 -3 -2 -1
subjects
Basics
of
List
Data
Structure

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• We can formulate messages by using list items.
0 1 2 3 4
-5 -4 -3 -2 -1
subjects

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Changing, adding, and deleting in List
• Changing a list item

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• Adding an element to the list
• Simplest way to add a new element at the end of the list is to use the function
append().

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• Adding elements to the
list
• The append() method
makes it easy to build lists
dynamically. For example,
you can start with an
empty list and then add
items to the list using a
series of append() calls.

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• Inserting element at desired position
• You can add a new element at any position in your list by using the insert()
method.

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• Removing element from a list
• If you know the position of the item you want to remove from a list, you can
use the del statement.
• You can no longer access the value that was removed from the list after the
del statement is used.

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• Removing element from a list using pop()
• Sometimes you’ll want to use the value of an item after you remove it from a
list.
• The pop() method removes the last item in a list, but it lets you work with
that item after removing it.
• If you don’t specify the index position of an element, you can delete the last
element from the list.
• You can use pop() to remove an item from any position in a list by including
the index of the item you want to remove in parentheses.
• When you want to delete an item from a list and not use that item in any way,
use the del statement; if you want to use an item as you remove it, use the
pop() method.

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• Removing element from a list using pop()

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• Removing an item by value
• Sometimes you won’t know the position of the value you want to remove
from a list. If you only know the value of the item you want to remove, you
can use the remove() method.

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• Removing an item by value using remove() method

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• Removing an item by value using remove() method
• NOTE
The remove() method deletes only the first occurrence of the value you
specify. If there’s a possibility the value appears more than once in the list,
you’ll need to use a loop to make sure all occurrences of the value are removed.

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Organizing a List
• Python provides a number of different ways to organize your lists.
• Sorting a list permanently using sort() method.
• Python’s sort() method makes it relatively easy to sort a list in alphabetical
order.

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Organizing a List
• Sorting a list permanently using sort() method.
• You can also sort this list in reverse alphabetical order by passing the
argument reverse=True to the sort() method.

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Organizing a List
• Sorting a list temporarily using sorted() method.
• The sorted() function lets you display your list in a particular order but
doesn’t affect the actual order of the list.

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Organizing a List
• Sorting a list temporarily using sorted() method.
• The sorted() function can also accept a reverse=True argument if you
want to display a list in reverse alphabetical order.

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Organizing a List
• NOTE
• Sorting a list alphabetically is a bit more complicated when all the values are
not in lowercase. There are several ways to interpret capital letters when
determining a sort order and specifying the exact order can be more complex
than we want to deal with at this time.

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Printing a List in reverse order
• To reverse the original order of a list, you can use the reverse()
method.

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Printing a List in reverse order
• The reverse() method changes the order of a list permanently, but
you can revert to the original order anytime by applying reverse()
to the same list a second time.

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Finding the length of a list
• You can quickly find the length of a list by using the len() function.
• Python counts the items in a list starting with one, so you shouldn’t
run into any off by-one errors when determining the length of a list.

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References
• Book Reference

Data Structures: Dictionary
and Tuple

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Content
• Dictionary
• Tuple

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What is dictionaries?
• A dictionary in Python is a collection of key-value pairs wrapped in
braces, {}.
d = {
<key>: <value>,
<key>: <value>,
.
.
.
<key>: <value>
}

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• Each key is connected to a value, and you can use a key to access the
value associated with that key.
• A key’s value can be a number, a string, a list, or even another
dictionary.
• Every key is connected to its value by a colon, and individual key-value
pairs are separated by commas.

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• Once you’ve defined a dictionary, you can display its contents, the
same as you can do for a list.

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Accessing Values in a Dictionary?
• Dictionary elements are not accessed by numerical index:

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Accessing Values in a Dictionary?
• To get the value associated with a key, give the name of the dictionary
and then place the key inside a set of square brackets.

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Adding New Key-Value Pairs
• To add a new key-value pair, you would give the name of the dictionary
followed by the new key in square brackets along with the new value.
• As of Python version 3.7, dictionaries are ordered. In Python 3.6 and
earlier, dictionaries are unordered.

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Updating New Key-Value Pairs
• If you want to update an entry, you can just assign a new value to an
existing key:

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Removing Key-Value Pairs
• When you no longer need a piece of information that’s stored in a
dictionary, you can use the del statement to completely remove a
key-value pair.
Be
aware
that
the
deleted
key-value
pair
is
removed
permanently.
NOTE

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Dictionary Key Vs. List Indices
• The syntax may look similar, but you can’t treat a dictionary like a list.
Because, in this example 0, 1, 2 … is treated as key; not index.

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Starting with an Empty Dictionary
• It’s sometimes convenient, or even necessary, to start with an empty
dictionary and then add each new item to it.

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• This example exhibits another feature of dictionaries:
• the values contained in the dictionary don’t need to be the same
type.
• In student,
• some of the values are strings,
• one is an integer,
• one is a list,
• and one is another dictionary.

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Home Task
• Based on the previous slide, we know that “the values contained in
the dictionary don’t need to be the same type”. It can be strings,
integers, list, even dictionaries itself. How can you access the list item,
when the entire list is a part of a dictionary. Similarly, how can you
access a dictionary’s element when the entire dictionary is an
element of another dictionary.

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• Just as the values in a dictionary don’t need to be of the same type,
the keys don’t either:

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What is Tuples?
• Sometimes you’ll want to create a list of items that cannot change.
Tuples allow you to do just that.
• A tuple is a collection which is ordered and unchangeable
(immutable).
• A tuple looks just like a list except you use parentheses instead of
square brackets.
• Once you define a tuple, you can access individual elements by using
each item’s index, just as you would for a list.

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Creating a
Tuple

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Creating a Tuple
• Tuples are technically defined by the presence of a comma; the
parentheses make them look neater and more readable. If you want
to define a tuple with one element, you need to include a trailing
comma:

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Accessing Tuple elements
• Like lists, the
elements of a tuple
can also be
accessed through
their index
numbers.
• Accessing out of
index leads to
IndexError
34 87 -56 44 -32
0 1 2 3 4
-5 -4 -3 -2 -1
Tuple
index
index

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Changing a Tuple
• Let’s see what happens if we try to change one of the items in the
tuple.

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Slicing
• Like lists, you can also apply slicing operations on Tuples.

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Concatenating two tuples

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Repeat elements in a tuple
• We can also repeat the
elements in a tuple for a
given number of times using
the * operator.

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Some other operations on Tuples
• Deleting a tuple

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• Methods that add items or remove items are not available with tuple.
Only the following two methods are available.

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• Membership Test

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Home Task
• Prepare a brief note on the differences and similarities between Lists,
Dictionaries and Tuples.

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References
• Book Reference
• Website
• https://realpython.com/python-dicts/
• https://www.w3schools.com/python/python_dictionaries.asp
• https://www.programiz.com/python-programming/tuple

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Content
• if statement
• else statement
• elif statement
• while loop
• break and continue
• for loop
• range()
• pass
• Nested loop

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Selection with if statement
• An if statement’s clause (that is, the block following the if
statement) will execute if the statement’s condition is True. The
clause is skipped if the condition is False.
• In Python, an if statement consists of the following:
• The if keyword
• A condition (that is, an expression that evaluates to True or False)
• A colon
• Starting on the next line, an indented block of code (called the if clause)

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• Syntax
if condition:
statement1
statement2
.
.
.
Other statements
condition
statement1
statement2
.
.
.
Other statements
False
True

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• Example: Write a program to read four integers and find the highest
number between them.
Output
Program

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else Statement
• An if clause can optionally be followed by an else statement. The
else clause is executed only when the if statement’s condition is
False.
• An else statement doesn’t have a condition, and in code, an else
statement always consists of the following:
• The else keyword
• A colon
• Starting on the next line, an indented block of code (called the else clause)

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else Statement
• Example: Write a program to read in integer from the user and check
whether it is even or odd.
Output
Program

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elif statement
• The elif statement is an “else if” statement that always follows an
if or another elif statement.
• It provides another condition that is checked only if all of the previous
conditions were False.
• In code, an elif statement always consists of the following:
• The elif keyword
• A colon
• Starting on the next line, an indented block of code (called the elif clause)

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elif statement
Program Output
Let’s analyze the program code
and predict the output

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elif statement Let’s analyze the previous code by
altering sequence and predict the output
Program Output

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elif statement
• Optionally, you can have an
else statement after the
last elif statement.
• In that case, it is
guaranteed that at least
one (and only one) of the
clauses will be executed.
• If the conditions in every
if and elif statement are
False, then the else clause
is executed.
Execute the Program and see the output

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while loop statement
• You can make a block of code execute over and over again using a
while statement.
• In code, a while statement always consists of the following:
• The while keyword
• A colon
• Starting on the next line, an indented block of code (called the while clause)

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• Syntax
initialization
while condition:
statement1
statement2
.
.
increment/decrement
Other statements
Initialization
statement1
statement2
.
.
Increment/Decrement
Condition
Other Statements
True
True
False

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• Example: Write a program to add the digits of a number
Program Output

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break statement
• There is a shortcut to getting the program execution to break out of a
while loop’s clause early. If the execution reaches a break
statement, it immediately exits the while loop’s clause.
• In code, a break statement simply contains the break keyword.

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break statement
Program Output

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continue statement
• Like break statements, continue statements are used inside loops.
• When the program execution reaches a continue statement, the
program execution immediately jumps back to the start of the loop
and reevaluates the loop’s condition.

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continue statement
Program Output

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for loop
• The while loop keeps looping while its condition is True (which is the reason
for its name), but what if you want to execute a block of code only a certain
number of times? You can do this with a for loop statement.
• In code, a for statement looks something like for i in range(5): and
includes the following:
• The for keyword
• A variable name
• The in keyword
• A call to the range() method with up to three integers passed to it
• A colon
• Starting on the next line, an indented block of code (called the for clause)

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for loop
• Syntax
for var_name in range(int, int, int):
statement1
statement2
.
.
.
Other statements
range can
take up to 3
integers

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for loop
Program Output

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The Starting, Stopping, and Stepping
Arguments to range()
for k in range(5)
k varies from 0 to 4
for k in range(10, 20)
k varies from 10 to 19
for k in range(0, 10, 2)
k will have values:
0
2
4
6
8

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• you can even use a negative number for the step argument to make
the for loop count down instead of up.

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pass statement
• As its name suggests, pass statement does nothing.
• It is used when a statement or a condition is required to be present in
the program, but we do not want any command or code to execute.
• pass statement is usually used while creating a method, which we do
not want to use right now.
• The pass statement is used as a placeholder for future code!!
• Difference between pass and continue
• continue forces the loop to start at the next iteration whereas pass means
"there is no code to execute here" and will continue through the remainder of
the loop body.

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pass statement
Program Output Program Output

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Importing Modules
• Python also comes with a set of modules called the standard library.
• Each module is a Python program that contains a related group of
functions that can be embedded in your programs.
• For example, the math module has mathematics related functions, the
random module has random number-related functions, and so on.
• Before you can use the functions in a module, you must import the module
with an import statement.
• In code, an import statement consists of the following:
• The import keyword
• The name of the module
• Optionally, more module names, as long as they are separated by commas

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Number Guessing Game
Program

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Number Guessing Game
Output

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Nested Loops
• Placing loop inside another loop is called nested loop.
• Loops can be nested to any desired levels.
• Proper indentation is necessary to use nested loop.
Program Output

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Home Task
• Read more about nested loops and try to print the following patterns.

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Home Task
1. While purchasing certain items, a discount of 10% is offered if the quantity purchased
is more than 1000. If the quantity and price per item are input through the keyboard,
write a program to calculate the total expenses.
2. Write a program that prints a number, its square, and cube repeatedly in the range (1,
n).
3. Write a program to print Floyd’s triangle.
4. Write a program to check a year is leap year or not.
5. Write a program to print the digits of a given number.
6. Write a program to find the factorial of a number.
7. Write a program to generate the Fibonacci series.
8. Write a program to reverse a number.
9. Write a program to check whether a number is a palindrome or not.
10. Write a program to generate the multiplication table up to 10 using a for loop.

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References
• Book Reference
• Sweigart, Al. Automate the boring stuff with Python: practical
programming for total beginners. No Starch Press, 2019.

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Contents
• Introduction
• Types of File
• Opening and Closing a file
• File Opening Modes
• File Object Attributes
• Reading from and Writing to file
• write()
• writeline()
• read()
• readline()
• readlines()
• Loop over the content of a file

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Introduction
• We write python code to process data coming from different sources.
• Until now, we process the data supplied by the user through console.
• But, what about processing data that comes from a file?
• We need to learn some file processing techniques and this talk is
dedicated in that respect.

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Types of File
• Text Files
• Binary Files

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Opening and Closing a File
Opening a file
Closing a file
Process

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File Opening
• Example
• Output
• This line will open the file in
write mode
• The default mode is read mode
(if don’t specify the mode)
I suggest you
should print fp

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File Opening Modes
r Opens a file for reading only. The file pointer is placed at the beginning of the file. This is the default
mode.
rb Opens a file for reading only in binary format. The file pointer is placed at the beginning of the file.
This is the default mode.
r+ Opens a file for both reading and writing. The file pointer placed at the beginning of the file.
rb+ Opens a file for both reading and writing in binary format. The file pointer placed at the beginning
of the file.
Reference
https://www.tutorialspoint.com/python/python_files_io.htm

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File Opening Modes
Reference
w Opens a file for writing only. Overwrites the file if the file exists. If the file does not exist, creates a
new file for writing.
wb Opens a file for writing only in binary format. Overwrites the file if the file exists. If the file does not
exist, creates a new file for writing.
w+ Opens a file for both writing and reading. Overwrites the existing file if the file exists. If the file does
not exist, creates a new file for reading and writing.
wb+ Opens a file for both writing and reading in binary format. Overwrites the existing file if the file
exists. If the file does not exist, creates a new file for reading and writing.

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File Opening Modes
Reference
a Opens a file for appending. The file pointer is at the end of the file if the file exists. That is, the file is
in the append mode. If the file does not exist, it creates a new file for writing.
ab Opens a file for appending in binary format. The file pointer is at the end of the file if the file exists.
That is, the file is in the append mode. If the file does not exist, it creates a new file for writing.
a+ Opens a file for both appending and reading. The file pointer is at the end of the file if the file exists.
The file opens in the append mode. If the file does not exist, it creates a new file for reading and
writing.
ab+ Opens a file for both appending and reading in binary format. The file pointer is at the end of the
file if the file exists. The file opens in the append mode. If the file does not exist, it creates a new file
for reading and writing.

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File Object Attributes
• fileObj.closed
• Returns true if file is closed
otherwise false
• fileObj.mode
• Returns the access mode
• fileObj.name
• Returns the name of the file
Output
Program

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Reading from and Writing to Files
• write()
• writelines()
• read()
• readlines()

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write() method
• The write() method is used to write a string to an already opened
file. This string may include numbers, special characters, or other
symbols.
• Write() method does not add a new line character to the end of the
string
• write() method returns nothing
fileObj.write(string)
Syntax

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write() method
Program

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writeline() method
• Used to write list of strings
fileObj.writeline(list_name)
Syntax

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writeline() method
Program

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writeline() method
• Home Task
• I want the file to look like this after writing. What to do?

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read() method
• This method is used to read a string from an already opened file.
• Count is an optional parameter
• If count is missing or has a negative value, then it reads the entire
contents of the file.
• read method returns newline as 'n'
fileObj.read(10)
Syntax

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read() method
Program
Output

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Home Task
• Rewrite the above program and pass the count value as 10 and check
the output.

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readline() method
• It is used to read a single line from the file.
• The method returns an empty strig when the end of file has been
reached.
• A blank line in a file also has an 'n' character, therefore the
readline() method will print a blank line at that place.

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readline() method
Program
Output

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readlines() method
Mark the s here
Program
Output

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Loop over file content
• You can also loop over the file content and display it
Program
Output

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Home Task
• Write a program to copy the content of one file to another file.

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References
• Book Reference
Approach." (2020).

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