python-practice-Lec-2

A personal Python learning repository containing programming exercises, practice implementations, and mini-projects developed throughout my learning journey.

This repository contains my practice work for Lecture 02 of my Python learning journey.
The lecture focuses on working with strings, indexing, slicing, built-in string functions, and making decisions using conditional statements.

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📚 Topics Covered

1. Strings

• Creating Strings (Single, Double, Multi-line)
• String Methods
• Escape Sequences (\n, \t)

2. Indexing & Slicing

• Positive Indexing
• Negative Indexing
• String Slicing ([start:end:step])
• Negative Slicing & String Reversal

3. String Functions

• Built-in Functions (len(), type())
• String Transformations (.lower(), .upper(), .find(), .replace())
• Combining Functions with Operations

4. Conditional Statements

• if Statements
• elif Chains
• else Fallbacks
• Nested Conditions & Logical Operators

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📂 Practice Files

File	Topics	Questions
01_strings.py	Strings, String Methods, Escape Sequences	7
02_indexing_and_slicing.py	Positive/Negative Indexing, Slicing, Step Values	7
03_string_functions.py	Built-in Functions, Length, String Manipulation	7
04_conditional_statements.py	if, elif, else, Logical & Comparison Conditions	7
05_mini_project.py	Interactive Text Analyzer & Decision Engine	Mini Project

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🎯 Learning Goals

By completing this lecture, you will learn how to:

• Create and manipulate multi-line and single-line strings.
• Apply common string methods and escape sequences.
• Access characters using both positive and negative indexing.
• Extract custom substrings using slicing and step modifiers.
• Calculate string lengths and execute text transformations.
• Implement decision-making logic using if, elif, and else.
• Combine comparison and logical operators to build robust conditions.
• Build interactive Python programs based on user input and dynamic logic.

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🚀 Mini Project Overview

🛠️ Interactive Text Analyzer & Decision Engine (05_mini_project.py)

The final file integrates all Lecture 02 concepts into an interactive Python program.

• Key Concepts Used: Strings, Indexing, Slicing, String Functions, Conditional Logic (if/elif/else), and User Input (input()).
• Functionality: Accepts user text input, analyzes string characteristics (length, casing, sub-string presence), extracts key segments via slicing, and executes conditional logic based on calculated metrics.

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📈 Learning Progress

• Lecture 01 — Python Fundamentals
• Lecture 02 — Strings & Conditional Statements
• Lecture 03 — Pending
• Lecture 04 — Pending
• Lecture 05 — Pending
• Lecture 06 — Pending
• Lecture 07 — Pending
• Lecture 08 — Pending
• Lecture 09 — Pending