Online Python Compiler with File Upload
Run, debug, and test Python code with file upload capabilities: fast, free, no environment setup. Process your data files directly in your browser.
Free Online Python Compiler with File Upload
Our Online Python Compiler with file upload lets you write, test, and execute Python code directly in your browser while working with your own files. Upload CSV, Excel, text files, or any data format and process them with Python's powerful libraries—no installation or setup required.
Simply upload your files, write your code in our modern editor with syntax highlighting, and run it with a single click. Perfect for data analysis, learning Python, or when you need to quickly process files without setting up a local environment.
How to Use Our Python Compiler with File Handling
Write Python code
Open the online python IDE with file uploads and enter your Python code.
Upload Your Files
Click ☰ menu → Click ⬆️ upload icon and add your files to the editor. You can upload CSVs, Excel files, text documents, or any data file you need to process with Python.
Write Code & Run
Enter your Python code that works with your uploaded files. Use libraries like pandas, or Matplotlib to analyze and visualize your data. Click "Run" to execute and see results instantly.
Python File Handling Examples
Process CSV Data with Python
Upload CSV files and extract insights. Perfect for quick data analysis without complex setup.
import pandas as pd
df = pd.read_csv("your_data.csv")
print(df.head())
print(df.describe())
if "numeric_column" in df.columns:
mean_value = df["numeric_column"].mean()
print(f"Mean value: {mean_value}")
filtered_df = df[df["some_column"] > 10]
print(f"Filtered data has {len(filtered_df)} rows")
if "category_column" in df.columns:
grouped_data = df.groupby("category_column").count()
print(grouped_data)Image Processing and Analysis
Upload images and transform them with Python. Resize, filter, or convert formats instantly in your browser.
from PIL import Image
img = Image.open("your_image.jpg")
print(f"Image size: {img.width} x {img.height}")
print(f"Format: {img.format}")
gray_img = img.convert('L')
gray_img.save("grayscale_image.jpg")
resized_img = img.resize((300, 200))
resized_img.save("resized_image.jpg")
rotated_img = img.rotate(90)
rotated_img.save("rotated_image.jpg")
print("All operations completed successfully!")Frequently Asked Questions
An online Python compiler with file input is a browser-based environment where you can write, test and run Python code that interacts with your own files. It provides a code editor, file upload functionality, output console, and access to Python libraries—all without installing Python locally.