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https://github.com/ishmal793/loops-and-strings-

Python practice repo focused on loops and strings, essential for building strong data analytics foundations. Includes beginner-friendly examples and problem-solving exercises.
https://github.com/ishmal793/loops-and-strings-

beginners data-analytics for-loop loops loops-and-iterations practice python string-methods strings while-loop

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Python practice repo focused on loops and strings, essential for building strong data analytics foundations. Includes beginner-friendly examples and problem-solving exercises.

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# ๐Ÿ Python Basics โ€“ Loops & Strings

This repository contains code examples and practice problems focusing on **loops** and **string manipulation** in Python. These are foundational concepts especially useful in **data analytics**, where automation, data cleaning, and text processing are key.

## ๐Ÿ“Œ Topics Covered

### ๐Ÿ” Loops
- `for` and `while` loops
- Using `range()` for controlled iteration
- Looping through strings and lists
- Nested loops
- Loop control: `break`, `continue`

### ๐Ÿงต String Manipulation
- Indexing and slicing
- String traversal using loops
- Common string methods:
- `.lower()`, `.upper()`
- `.strip()`, `.replace()`
- `.find()`, `.count()`
- `.startswith()`, `.endswith()`
- Using `in` keyword for search
- Concatenation and formatting

## ๐Ÿง  Problem-Solving Examples
This repo includes solutions to common string and loop-based problems such as:
- Reversing a string
- Counting vowels and consonants
- Checking for palindromes
- Finding frequency of characters
- Parsing strings from user input

Each example is written with comments and simple logic so that beginners can easily follow along.

## ๐Ÿ“ฝ๏ธ Related Video

## ๐Ÿ“‚ How to Use This Repo

1. Clone the repo:
```bash
git clone https://github.com/yourusername/loops-strings-.git
```

2. Navigate into the folder:
```bash
cd loops-strings-python
```

3. Open the files in any Python IDE or editor and run them to explore the code.

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Feel free to share your thoughts or contribute by creating an issue or pull request.