Python Programming.pptx

Dinesh Thakur--Python Programming

Guido Van Rossum is known as
the founder of Python
programming

Python History
• Python was invented by Guido van Rossum in 1991 at
CWI in Netherland. The idea of Python programming
language has taken from the ABC programming
language or we can say that ABC is a predecessor of
Python language.
• There is also a fact behind the choosing name Python.
Guido van Rossum was a fan of the popular BBC
comedy show of that time, "Monty Python's Flying
Circus". So he decided to pick the name Python for his
newly created programming language.
• Python has the vast community across the world and
releases its version within the short period.

What is Python ?
• Python is a simple, general purpose, high
level, interpreted, object oriented language
which is used to develop desktop applications,
web applications and mobile applications.
• Python is also used in data science, artificial
intelligence and machine learning area.

Python Features
• Python provides many useful features which make it
popular and valuable from the other programming
languages.
1. Easy to Learn and Use:
• Python is easy to learn as compared to other
programming languages. Its syntax is straightforward
and much the same as the English language. There is
no use of the semicolon or curly-bracket, the
indentation defines the code block. It is the
recommended programming language for beginners.

2.Expressive Language
Python can perform complex tasks using a few lines of code. A simple example, the hello
world program you simply type print("Hello World"). It will take only one line to execute,
while Java or C takes multiple lines.
3.Interpreted Language
Python is an interpreted language; it means the Python program is executed one line at a
time. The advantage of being interpreted language, it makes debugging easy and portable.
4. Cross-platform Language
Python can run equally on different platforms such as Windows, Linux, UNIX, and
Macintosh, etc. So, we can say that Python is a portable language. It enables
programmers to develop the software for several competing platforms by writing a
program only once.
5. Object-Oriented Language
Python supports object-oriented language and concepts of classes and objects come
into existence. It supports inheritance, polymorphism, and encapsulation, etc. The
object-oriented procedure helps to programmer to write reusable code and develop
applications in less code.

6. Free and Open Source
Python is freely available for everyone. It is freely available on its official
website www.python.org. It has a large community across the world that is dedicatedly
working towards make new python modules and functions. Anyone can contribute to the
Python community. The open-source means, "Anyone can download its source code
without paying any penny."
7. Large Standard Library
It provides a vast range of libraries for the various fields such as machine learning, web
developer, and also for the scripting. There are various machine learning libraries, such
as Tensor flow, Pandas, Numpy, Keras, and Pytorch, etc. Django, flask, pyramids are the
popular framework for Python web development.
8.GUI Programming Support
Graphical User Interface is used for the developing Desktop application. PyQT5,
Tkinter, Kivy are the libraries which are used for developing the web application.

How to Install Python (Environment
Set-up)
• Installation on Windows
• Visit the
link https://www.python.org/downloads/ to
download the latest release of Python. In this
process, we will install Python 3.8.6 on
our Windows operating system. When we click on
the above link, it will bring us the following page.
• Step - 1: Select the Python's version to
download.

Step - 1: Select the Python's version
to download.

Step - 2: Click on the Install Now

Step - 3 Installation in Process

Now, try to run python on the
command prompt.

Python First Program

Program-2

Python Keywords
• Python Keywords are special reserved words
that convey a special meaning to the
compiler/interpreter. Each keyword has a
special meaning and a specific operation.
These keywords can't be used as a variable.
Following is the List of Python Keywords.

Python Keywords
True False None and as
asset def class continue break
else finally elif del except
global for if from import
raise try or return pass
nonlocal in not is lambda

Python Identifiers
Python identifiers refer to a name used to identify a
variable, function, module, class, module or other
objects. There are few rules to follow while naming the
Python Variable.
• A variable name must start with either an English letter
or underscore (_).
• A variable name cannot start with the number.
• Special characters are not allowed in the variable
name.
• The variable's name is case sensitive.

Python Variables
• Variable is a named storage location where we
can store value and perform
manipulation(calculation) on stored value
during execution of a program.
• Example: a = 50

Variable
a=50

Variable Program

Python Data Types
• Variables can hold values, and every value has
a data-type. Python is a dynamically typed
language; hence we do not need to define the
type of the variable while declaring it. The
interpreter implicitly(directly) binds the value
with its type.
• a=10

Python Data Types Program

Python data types

Number Data Type

Boolean
• Boolean type provides two built-in values, True
and False. These values are used to determine
the given statement true or false. It denotes by
the class bool. True can be represented by any
non-zero value or 'T' whereas false can be
represented by the 0 or 'F'. Consider the
following example.
• # Python program to check the boolean type
• print(type(True))
• print(type(False))
• print(false)

List
Python Lists are similar to arrays in C. However, the list
can contain data of different types. The items stored in
the list are separated with a comma (,) and enclosed
within square brackets [].

Tuple
A tuple is similar to the list in many ways. Like lists,
tuples also contain the collection of the items of
different data types. The items of the tuple are
separated with a comma (,) and enclosed in
parentheses ().
A tuple is a read-only data structure as we can't modify
the size and value of the items of a tuple.

Dictionary Data Type
• Dictionary is an unordered set of a key-value
pair of items. It is like an associative array or a
hash table where each key stores a specific
value. Key can hold any primitive data type,
whereas value is an arbitrary Python object.
• The items in the dictionary are separated with
the comma (,) and enclosed in the curly braces
{}.

Dictionary Data Type Program

Set Data Type
• Python Set is the unordered collection of the
data type. It is iterable, mutable(can modify
after creation), and has unique elements. In
set, the order of the elements is undefined; it
may return the changed sequence of the
element. The set is created by using a built-in
function set(), or a sequence of elements is
passed in the curly braces and separated by
the comma. It can contain various types of
values.

SET program

Operators
• Operator performs operation on operands or
data.
• Arithmetic operator : +,-,/,%,and *
• E.g. 2+2 , 8*2
• Comparison Operator: <,>,=<,>=,!=
• E.g. 7>2 , 2<9
• Assignment Operator: = , =* , =+ ,=-
• 2+2=4

Operators
• Bitwise Operators : performs operation on
binary digits only. >> ,<<,>>>,<<<
• E.g >> Right Shift 2 digit
• >>11111111-----00111111

Logical Operators

Membership Operators
• Python membership operators are used to
check the membership of value inside a
Python data structure. If the value is present
in the data structure, then the resulting value
is true otherwise it returns false.
• IN
• Not IN

Operators Program

Multiplications

Comparison Operator

Comments
• If we want to write additional information of
program, we use comment.
• # is used for comment

Comments

Decision Making Statement
If…..Satement
If…..Else…..Statement

If…Statement

If….Else….Statement

IF..Else…Statement

Looping Statement
For…Loop
Do….While…Loop
While…Loop

for…Loop

For….Loop

Multiplication Table

While…Loop

Do…While…Loop

Python Popular Frameworks and
Libraries
• Python has wide range of libraries and frameworks
widely used in various fields such as machine learning,
artificial intelligence, web applications, etc. We define
some popular frameworks and libraries of Python as
follows.
• Web development (Server-side) - Django Flask,
Pyramid, CherryPy
• GUIs based applications - Tk, PyGTK, PyQt, PyJs, etc.
• Machine Learning - TensorFlow, PyTorch, Scikit-learn,
Matplotlib, Scipy, etc.
• Mathematics - Numpy, Pandas, etc.

Thanks

Python Programming.pptx

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Python Programming.pptx