Python Programming | JNTUK | UNIT 1 | Lecture 1 & 2
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The document provides an overview of the syllabus for a Python programming course. It covers conceptual introductions to topics in computer science and algorithms. It also covers modern computer systems including hardware architecture, data representation, software, and operating systems. The course will teach students how to install Python and cover basic syntax, data types, variables, arithmetic operators, and understanding errors.
Python Programming | JNTUK | UNIT 1 | Lecture 1 & 2
- 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
- 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
- 7. Algorithms Conceptual Introductio n Purchase cost? Cash Given? Change? Rs.133/- Rs.500/- Rs.367/-
- 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.
- 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
- 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;