python

Python Syllabus for CodingGita Interview Round

Syllabus (Till Loops)

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1. Course Overview

This course introduces students to the fundamentals of Python programming. It is designed for complete beginners with no prior coding experience.

By the end of this course, students will be able to:

• Understand basic programming concepts
• Write simple Python programs
• Take input from users
• Perform calculations using operators
• Make decisions using conditional statements
• Use loops to automate repetitive tasks

This syllabus covers core programming concepts required before moving to advanced topics like Lists, Functions, and Object-Oriented Programming.

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2. Course Objectives

After completing this syllabus, students will be able to:

1. Understand Python syntax and structure
2. Work with variables and basic data types
3. Take user input and display output
4. Apply arithmetic and logical operations
5. Implement conditional logic
6. Use loops to solve repetitive problems

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3. Detailed Topic List

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Module 1: Introduction to Python

• What is Python?
• Features of Python
• Installing Python
• Running Python programs
• Writing first program (print())

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Module 2: Basic Syntax & Variables

• Indentation in Python
• Comments (#)
• Keywords (basic idea)
• Variables
• Rules for naming variables
• Assigning values
• Dynamic typing

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Module 3: Data Types

• Integer (int)
• Float (float)
• String (str)
• Boolean (bool)
• Using type() function

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Module 4: Type Casting

• Converting data using:

  • int()
  • float()
  • str()

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Module 5: Input and Output

• print() function
• input() function
• Taking user input
• Formatted printing (f-strings)

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Module 6: Operators

Arithmetic Operators

• +, -, *, /, %

Comparison Operators

• ==, !=, >, <, >=, <=

Logical Operators

• and, or, not

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Module 7: Strings

• Creating strings
• String indexing
• String slicing
• String concatenation

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Module 8: Conditional Statements

• if statement
• if-else
• if-elif-else
• Nested conditions (basic)

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Module 9: Loops

For Loop

• Using range()
• Iterating through numbers
• Iterating through strings

While Loop

• Loop control using condition

Loop Control Statements

• break
• continue

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4. Course Duration

Recommended Duration (Mobile Learning Friendly):

• 4–7 days
• 1–3 hours per day

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5. Outcome After Completion

Students will be prepared to move to:

• Lists
• Functions
• Pattern problems
• Basic problem solving
• Mini console-based programs

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6 Reference Videos

The following videos are shared only for reference. You are free to learn these topics from any video, article, or resource available on the internet.

1. Python Basics (Complete Foundation)

Video Link: https://www.youtube.com/watch?v=t2_Q2BRzeEE&list=PLGjplNEQ1it8-0CmoljS5yeV-GlKSUEt0&index=1

2. Strings & Conditional Statements

Video Link: https://www.youtube.com/watch?v=lIId8IDP6TU&list=PLGjplNEQ1it8-0CmoljS5yeV-GlKSUEt0&index=2

3. Loops in Python

Video Link: https://www.youtube.com/watch?v=S73thl0AyFU&list=PLGjplNEQ1it8-0CmoljS5yeV-GlKSUEt0&index=5

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7.Practice Python Online

You can run and practice Python code directly in your browser using this online compiler:

• Run Python Online Programiz_Compiler [https://www.programiz.com/python-programming/online-compiler/]

This tool allows you to write, execute, and test Python code instantly without installing anything, making it ideal for beginners.