Python Basics | Python Tutorial | Edureka

What is Python?
Features of Python
Who uses Python?
Starting off with Python Basics
❖Data Types
❖Operators
❖Flow Control
❖Functions
❖File Handling
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What is Python?
• Created by Guido Van Rossum in 1989
• Inspired by his favorite show’s(Flying Circus)
creator ‘Monty Python’
• High Level, Interpreted language with easy syntax
and dynamic semantics
Open Source
OOPS
Large Standard
Library
Easy to Learn

Features of Python
Python is designed such that you think more of the code and less of the syntax
Simplicity

Features of Python
Being Open Source is awesome, which means that Python is free for everyone to use
Open Source

Features of Python
Python code can be written in one computer and executed in another without any
hassles, making code sharing much easier
Portability

Features of Python
Python allows code of other languages such as C, C++ to be embedded into it so that certain functions
can be performed, making Python even more powerful
Embeddable
and Extensible

Features of Python
The tasks of CPU and Memory Management are handled by Python itself
Interpreted

Features of Python
Python has a huge set of libraries such as NumPy, Matplotlib and Scikit-learn which help in solving problems
Huge
Libraries

Features of Python
Object Orientation helps break down complex problems of the world into code and
help provide security to it to obtain better solutions
Object
Orientation

Who uses
Python?

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www.edureka.co

Starting off with Python Basics
Head over to python.org to install Python
Download Section -> Download latest version

Installing Python on Windows
Check this box
Click Install Now

Python IDLE
Open IDLE which is bundled with Python for development
purposes

First Program with Python

Downloading PyCharm
Head over to this link
Download the version you want to
https://www.jetbrains.com/pycharm/download/

Program with PyCharm
Program 1 :
Program 2 :
a = 10
b = 20
c = a + b
print('The addition of a and b is: %d' % c)
a = int(input('Enter number for a: '))
b = int(input('Enter number for b: '))
print('The addition of a and b is: %d' % (a + b))

Data Types in Python
Numeric
Lists
Tuples
Dictionary
Sets
Strings

• Numeric Data types
are used to store
numerical values in
the variables
• Numeric data types
are not mutable
Types Examples
Integer 1, 5, 356
Float 3.142
Complex 10 + 3j
Numeric
Lists
Tuples
Dictionary
Sets
Strings

• Lists are the same as arrays
• Lists can have heterogenous
data types in them
• Lists are mutable
Example:
a = [1, ‘Hindi’, 3.142, 10+6j]
Numeric
Lists
Tuples
Dictionary
Sets
Strings

• Tuples are the same as lists
with the exception that they
are not mutable
• This makes Tuples faster than
lists
Example:
a = (1, ‘Hindi’, 3.142, 10+6j)
Numeric
Lists
Tuples
Dictionary
Sets
Strings

• Dictionaries are used to hold
key, value pairs
• Dictionaries are mutable
Example:
mydict = { ‘Name’ : ‘Akash’,
‘Sign’ : ‘Libra’ }
Numeric
Lists
Tuples
Dictionary
Sets
Strings

• Sets are un-ordered
collection of unique
elements
• Sets are mutable
Example:
a = {1, 2, 3, 4, 4, 5}
Numeric
Lists
Tuples
Dictionary
Sets
Strings

• Strings are a collection of
characters
• They are written within
single (‘’) or double (“”)
quotation marks
• Strings are not mutable
Example:
string = ‘Welcome to edureka!’
Numeric
Lists
Tuples
Dictionary
Sets
Strings

Operators in Python
• Operators are constructs you use to manipulate data
• Describes actions that need to be done
• Derive information from data or manipulate them to obtain
solutions
01 Arithmetic Operators
02 Assignment Operators
03 Comparison Operators
04 Logical Operators
05 Bitwise Operators
06 Identity Operators
07 Membership Operators

Operators
Used to perform arithmetic operations
Operator Description
+ Adds 2 numbers
- Subtracts 2 numbers
* Multiplies 2 numbers
/ Divide the numbers
% Find remainder
** Raise to the power

Operators
Used to assign values to variables
= Assign the value
+= Add and assign
-= Subtract and assign
*= Multiply and assign
/= Divide and assign
%= Find remainder and assign
**= Find exponential and assign

Operators
Used to compare values
== Compare if true
!= Compare if not true
< Check if less than
> Check if greater than
<= Check if lesser or equal to
>= Check if greater or equal to

Operators
Used to obtain logic from the operands
and True if both are true
or True if either is true
not Gives the opposite

Operators
Used to manipulate the bits of the value directly.
& Bitwise AND
| Bitwise OR
^ Bitwise XOR
~ Give 1’s Complement
<< Perform left shift
>> Perform right shift

Operators
Check whether values are identical or not
is If identical, then true
is not If not identical, then true

Operators
Check whether a value exists or not
in True if element exists
not in True if element not present

Flow Control
Parts of the code where the sequence must alter, flow control comes to the rescue
Loops
Conditional
Statements
Flow Control
If-else
while
for

Conditional Statements
• Conditional statements in Python are if-else
statements
• This is a simple if-else ladder
• if-else can be within other if-else conditions called as
nested conditions

Loops
Loops are used when we want to execute a certain set of statements for different inputs several times
Statement
Initialization
Condition
Increment
/Decrement
False
True
START
END
Statement
Condition
False
True
START
END
For Loop While Loop

Functions in Python
• Functions are blocks of code which are run whenever called
• Functions reduce redundancy and increase readability
• Python supports pass by object
Function
Built-in Function
User Defined
Function

File Handling
Python provides methods to handle files where
we can read and write data into it
Steps:
• Open a file
• Perform operations
• Close file
You need to make sure that you close the file to
avoid damaging data in the file
open ( filename, mode )
write( )
close( )
read( )
File Operations in Python
Opening a file
Reading a file
Writing a file
Closing a file

What is Python? Features of Python Who uses Python?
Starting off with Python Data Types in Python Operators in Python
Summary

Summary
Flow Control
Function
Built-in Function
User Defined Function
Functions File Handling in Python
Function
Built-in Function
User Defined Function

Python Basics | Python Tutorial | Edureka

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