✅ Python Project Auto File Organizer 🗂️⚙️

 

✅ Python Project  Auto File Organizer 🗂️⚙️

📌 Task:
Write a Python program that automatically sorts files in a folder based on their type — images, documents, music, videos, etc. Each type goes into its own subfolder.

🧠 What You’ll Learn:

  • Navigating directories with os

  • Moving files using shutil

  • Detecting file types via extensions

  • Automating boring daily file management

✅ Python Code Example

import os
import shutil

def sort_files(directory):
    categories = {
        "Pictures": [".jpg", ".jpeg", ".png", ".gif"],
        "Docs": [".pdf", ".docx", ".txt", ".xlsx"],
        "Movies": [".mp4", ".avi", ".mkv"],
        "Music": [".mp3", ".wav"],
        "Compressed": [".zip", ".rar"],
        "Code": [".py", ".js"]
    }

    for item in os.listdir(directory):
        src = os.path.join(directory, item)

        if os.path.isfile(src):
            _, extension = os.path.splitext(item)

            for folder_name, ext_list in categories.items():
                if extension.lower() in ext_list:
                    dest_folder = os.path.join(directory, folder_name)
                    os.makedirs(dest_folder, exist_ok=True)
                    shutil.move(src, os.path.join(dest_folder, item))
                    break   # Stop once a match is found

# Example Run
sort_files("C:/Users/YourName/Downloads")

📤 What Happens:

  1. Scans your chosen folder

  2. Checks each file’s extension

  3. Creates subfolders (if missing) and moves files into them

🔧 Experiment With:

  • Add logs for moved files

  • Run it on schedule (Task Scheduler / Cron)

  • Make a simple GUI app with Tkinter

💡 Use Cases:
✅ Keep your Downloads folder clean
✅ Auto-organize project directories
✅ Save time with one-click file management

Comments

Post a Comment

Popular posts from this blog

🔁 Top 30 Python List Methods You Should Know

  🔁 Top 30 Python List Methods You Should Know 🧠📋 1. append() – Add element to the end lst = [ 1 , 2 ] lst.append( 3 ) # Output: [1, 2, 3] 2. extend() – Add multiple elements from another list lst = [ 1 , 2 ] lst.extend([ 3 , 4 ]) # Output: [1, 2, 3, 4] 3. insert() – Insert element at specific index lst = [ 1 , 3 ] lst.insert( 1 , 2 ) # Output: [1, 2, 3] 4. remove() – Remove first occurrence of a value lst = [ 1 , 2 , 3 ] lst.remove( 2 ) # Output: [1, 3] 5. pop() – Remove element at index (default last) lst = [ 1 , 2 , 3 ] lst.pop( 1 ) # Output: 2, list becomes [1, 3] 6. index() – Find index of first occurrence lst = [ 10 , 20 , 30 ] lst.index( 20 ) # Output: 1 7. count() – Count occurrences of value lst = [ 1 , 1 , 2 ] lst.count( 1 ) # Output: 2 8. sort() – Sort list in ascending order (in-place) lst = [ 3 , 1 , 2 ] lst.sort() # Output: [1, 2, 3] 9. reverse() – Reverse list (in-place) lst = [ 1 , 2 , 3 ] lst.reverse() # Output: [3, 2,...
Read more

Python Project 7: Read & Write JSON Files

 ✅ Python Project 7: Read & Write JSON Files 🔄📄 📌 Task: Write a Python program that reads a JSON file , makes some changes, and then saves it into a new JSON file . 🧠 What You’ll Learn: How to use Python’s json module How to read & write JSON files How to work with nested JSON data ✅ Python Code Example                             import json # Step 1: Read JSON file with open("data.json", "r") as f:     data = json.load(f)     print("Original Data:")     print(data) # Step 2: Modify data (example: add a new key-value pair) data["status"] = "processed" # Step 3: Save updated data into a new JSON file with open("updated_data.json", "w") as f:     json.dump(data, f, indent=4) print("\nUpdated JSON saved successfully!") 📥 How It Works: Reads data.json file Adds/updates data (e.g., status = "processed" ) Saves changes into updated_data.json ...
Read more

✅ Python – Quick Start Guide for Beginners

  ✅ Python – Quick Start Guide for Beginners 🐍💻 Python is a high-level, beginner-friendly programming language. It’s easy to read, versatile, and widely used in web development, data science, AI/ML, automation, and more. 🔹 What You Can Build with Python Automate repetitive tasks Analyze and visualize data Develop web applications Create simple games Work with Artificial Intelligence & Machine Learning 🔹 Python Basics 1. Variables name = "Alex" age = 25 2. Functions def greet ( name ): return "Hello " + name 3. Conditions if age > 18 : print ( "Adult" ) else : print ( "Minor" ) 4. Loops for i in range ( 5 ): print (i) 5. Lists & Dictionaries fruits = [ "Apple" , "Banana" , "Cherry" ] person = { "name" : "Alex" , "age" : 25 } 🔹 Working with Files with open ( "data.txt" , "r" ) as file: ...
Read more