This document is a report on Python for a class. It includes sections on the history of Python, why it is a good choice for learning programming, its core characteristics like being interpreted and object-oriented, common data structures like lists and dictionaries, the NumPy package for scientific computing, and a conclusion about the benefits of using Python as a teaching language.

1. Python
for
Everybody
• Submitted By: Ayushman Tiwari
• Section : G
• 1st Sem
• Roll No: 21011029

2. TABLE OF CONTENTS
1 History of Python .
2 Why to choose Python.
3 Characteristics of Python.
4 Data Structures in Python.
5 Uses Of NumPy
6 Conclusion

3. History
of Python
• Python was developed in 1980 by Guido van Rossum at the
National Research Institute for Mathematics and Computer
Science in the Netherlands as a successor of ABC
language capable of exception handling and Interfacing .
Python features a dynamic type system and automatic
memory management . It
supports multiple programming paradigms, including object
oriented programs , imperative , functional and procedural ,
and has a large and Comprehensive standard library.
• Van Rossum picked the
name Python for the New language from a TV show , Monty
Python's Flying Circus.
• In December 1989 , I was looking for
a "hobby" programming project that would keep
me occupied during the week around Christmas. My office …
would be closed , but I had a home computer , and
not much else on my hands . I decide to write an interpreter for
the new scripting language I had been thinking about lately :
as a descendent of ABC that would appeal to Unix/C hackers. I
chose Python as a working title for the Project.
•
- Guido
Van Rossum

4. Why To
Choose Python
• The language's core philosophy is summarized in the
Document "The Zen of Python", which include aphorisms
such as :
• Beautiful is better than Ugly.
• Simple is better than Complex.
• Complex is better than Complicated.
A Simple Program to print "Hello World"
JAVA CODE PYTHON
CODE
public class HelloWorld
{
public static void
main(String args [])
{
System.out.println("Hello
World")
}
}
print ("Hello World")

5. Characteristics
Of Python
Interpreted Language : Python is processed at
runtime by Python Interpreter.
Easy To Read : Python source-code is clearly defined
and visible to eyes.
Portable : Python codes can run on wide variety of
hardware platforms having the same platforms.
Extendable: Users can add low level modules to
Python interpreter.
Scalable: Python provides an improved structure for
supporting large programs than shell-scripts.
Object-Oriented Language: It supports object-
oriented features and techniques of Programming.

6. Data
Structures
In Python
• Lists:
• Ordered Collection of Data.
• Supports similar slicing and Indexing functionalities as in case of
String.
• They are mutable.
• Example: my_list = ['one' , 'two' , 'three',4,5]
• Len(my_list) would output 5.
• Dictionary:
• Lists are sequences but the Dictionaries are mappings.
• These mappings may not retain order.
• Accessing object from a dictionary.
• Nesting Dictionaries.
• Basic Syntax: d={} empty dictionary will be generated and assign
keys and values to it liked['animal']='Dog'.

7. Sets:
A set contains unique elements and we can construct them by using a set() function.
Convert a list into set:
I=[1,2,3,4,1,1,2,3,6,7]
K=set(I)
K becomes{1,2,3,4,6,7}
Basic Syntax:
X=set()
x.add(1)
X={1}
x.add(1)
There would not be any change in x now.

8. Uses
Of NumPy
• NumPy is Python package. It stands for "Numerical Python". It is a library consisting of
Multidimensional Array Objects and a collection of routines for processing an Array.
• Operations using NumPy:
• Using NumPy , a developer can perform the following operations:
• Mathematical and logical operations on Array.
• Fourier transforms and routines of shape manipulation.
• Operations related to linear Algebra. NumPy has in-built functions for linear algebra and
random number generation.
• Example:
• Import NumPy as np
• b=np.array([[1,6,5,2,3,45]])
• b.shape=(3,2)
• Print(b)
• [[1 6]
• [5 2]
• [3 45]]

9. Conclusion
I BELIEVE THAT THIS
TRIAL HAS SHOWN
CONCLUSIVELY THAT
IT IS BOTH POSSIBLE
AND DESIRABLE TO USE
PYTHON AS THE
PRINCIPAL TEACHING
LANGUAGE AS :
IT'S FREE (AS IN BOTH
COST AND SOURCE-
CODE)
IT IS TRIVIAL TO INSTALL
ON A WINDOWS PC
ALLOWING STUDENT TO
TAKE THEIR INTEREST
FURTHER .
IT IS A FLEXIBLE TOOL
THAT ALLOWS BOTH
LEARNING AND
TEACHING PROGRAMMI
NG.
IT IS A REAL
WORLD PROGRAMMING
LANGUAGE THAT CAN
BE USED
IN COMMERCIAL
WORLD.
AND THE MOST
IMPORTANT , IT'S CLEAN
SYNTAX OFFERS INCREAS
ED UNDERSTANDING AN
D ENJOYMENT
OF STUDENTS.
IN MY OPINION I HAVE
GAINED LOTS OF
KNOWLEDGE AND
EXPERIENCE NEEDED TO
BE A SUCCESSFUL
IN ENGINEERING .
AS AFTER ALL
ENGINEERING IS A
CHALLENGE AND NOT
JUST A JOB.

10. • THANK
• YOU