Python Programming According to JNTUK R20 Syllabus

1. Python Programming

2. UNIT 1 : SYLLABUS
• Conceptual introduction: topics in computer science, algorithms;
• Modern computer systems: hardware architecture, data
representation in computers, software and operating system;
• Installing Python; basic syntax, interactive shell, editing, saving, and
running a script.
• The concept of data types; variables, assignments; immutable
variables; numerical types;
• arithmetic operators and expressions; comments in the program;
understanding error messages;

3. Topics in computer
science
Algorithms
Information
Processing
Conceptual Introduction
Hardware architecture
Data representation in
computers
Software and
operating system
Modern computer
systems

4. Topics in computer
science
Algorithms
Information
Processing
Conceptual Introduction

5. Topics in computer science
Conceptual
Introductio
n
Programming
Language
Data Structures &
Retrieval
Computer Networks
& Security
Computer Design
Algorithms
Parallel and
Distributed
Computing
Computer Science

6. Topics in computer
science
Algorithms
Information
Processing
Conceptual Introduction

7. Algorithms
Conceptual
Introductio
n
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8. Algorithms
Conceptual
Introductio
n
• Step 1 : Write down the two numbers, with the larger
number above the smaller number and their digits aligned
in columns from the right.
• Step 2 : Assume that you will start with the rightmost
column of digits and work your way left through the
various columns.
• Step 3 : Write down the difference between the two digits
in the current column of digits, borrowing a 1 from the top
number’s next column to the left if necessary.
• Step 4 : If there is no next column to the left, stop.

9. Algorithms
Conceptual
Introductio
n
• If the computing agent (in this case a human being) follows each of these
simple steps correctly, the entire process results in a correct solution to
the given problem.
• We assume in Step 3 that the agent already knows how to compute the
difference between the two digits in any given column, borrowing if
necessary.
• The sequence of steps that describes each of these computational
processes is called an algorithm.
• An algorithm describes a process that ends with a solution to a problem.
• An algorithm consists of a finite number of instructions.

10. Topics in computer
science
Algorithms
Information
Processing
Conceptual Introduction

11. Information Processing
Conceptual
Introductio
n
Computer

12. Topics in computer
science
Algorithms
Information
Processing
Conceptual Introduction

13. Topics in computer
science
Algorithms
Information
Processing
Conceptual Introduction
Hardware architecture
Data representation in
computers
Software and
operating system
Modern computer
systems

14. Hardware architecture
Data representation in
computers
Software and
operating system
Modern computer systems

15. Hardware architecture
Modern
computer
systems
Processor
Input
Devices
Output
Devices
Memory

16. Hardware architecture
Modern
computer
systems
Processor

17. Hardware architecture
Modern
computer
systems
Memory
Primary
Secondar
y

18. Hardware architecture
Modern
computer
systems
Processor
Input
Devices
Output
Devices
Primary
Secondar
y
Cache

19. Hardware architecture
Data representation in
computers
Software and
operating system
Modern computer systems

20. Data representation in computers
Modern
computer
systems
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0
0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0
0 0 0 0 1 1 1 1 1 0 1 0 0 0 0 0
0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0
2
22
322
4000
40000
1 (Over Flow)

21. Data representation in computers
Modern
computer
systems

22. Hardware architecture
Data representation in
computers
Software and
operating system
Modern computer systems

23. Software and operating system
Modern
computer
systems
Any programs that are
stored in memory so that
they can be executed later
are called software.
Types of computer
software:
• Application software
• System software
• Programming software

24. Software and operating system
Modern
computer
systems
Application: Used in educational, business
and medical fields.
Ex: computer games.
System: Load and execute other
programs that make the development,
execution, and management of
programs easier. This type of software
is called system software.
Ex: Operating System
Programming: Develop the
programming languages necessary to
run computer software.
Ex: Compliers, interpreters, linkers and
text editors.

25. Software and operating system
Modern
computer
systems
Translators :
•Compilers
•Interpreters

26. Software and operating system
Modern
computer
systems
Main( )
{
int a= 2;
int b= 3;
int c;
c = a + b;
}
This method is compilation
Object
code
Execute

27. Software and operating system
Modern
computer
systems
Print (“hello world”)
Print(2)
A=2
B=3
Print(A+B)
Execute
Execute
Execute
Execute
Execute
This method is interpretation

28. Hardware architecture
Data representation in
computers
Software and
operating system
Modern computer systems

29. Topics in computer
science
Algorithms
Information
Processing
Conceptual Introduction
Hardware architecture
Data representation in
computers
Software and
operating system
Modern computer
systems

30. UNIT 1 : SYLLABUS
• Conceptual introduction: topics in computer science, algorithms;
• Modern computer systems: hardware architecture, data
representation in computers, software and operating system;
• Installing Python; basic syntax, interactive shell, editing, saving, and
running a script.
• The concept of data types; variables, assignments; immutable
variables; numerical types;
• arithmetic operators and expressions; comments in the program;
understanding error messages;