# File System Basics A file system can be seen as a way of organizing and storing data on a storage medium like a hard disk, SSD, or a USB stick. It is responsible for controlling how data is stored and retrieved. ## Types of File Systems There are many types of file systems, including: - **FAT (File Allocation Table):** Old, but widely compatible. It's limited in file size and partition size. - **NTFS (New Technology File System):** Modern, robust, and Windows default. It supports large file sizes, encryption, and permissions. - **ext4 (Fourth Extended Filesystem):** Default for most Linux distributions. It features journaling for reliability and supports large file sizes. ## File System Components A typical file system has the following components: - **Superblock:** Contains metadata about the file system like size, block size, empty and filled blocks. - **Inode Table:** Stores metadata about files (not the content). Each file has an inode containing info like file size, creation time, owner. - **Data Blocks:** Actual content of files and directories. ## File System Operations Common operations include `read`, `write`, `open`, `close`, `mkdir`, `rmdir`, `link`, `unlink`, `chmod`, `stat`. Here is Python code for some operations: ```python import os # Create a new directory os.mkdir("new_directory") # Write to a file with open("file.txt", "w") as f: f.write("Hello, File System!") # Read from a file with open("file.txt", "r") as f: print(f.read()) # Remove a file os.remove("file.txt") # Remove a directory os.rmdir("new_directory") ``` ## File System Hierarchy In Unix-like systems, the file system begins at the root (`/`). Key directories include: - `/bin`: Essential command binaries - `/etc`: Host-specific system configuration - `/home`: User home directories - `/var`: Variable data like logs and databases In Windows, drives are the root (`C:\`), with standard folders like `Program Files`, `Windows`, `Users`. Understanding file systems helps you comprehend how your data is organized and managed, giving you insights for efficient and effective data handling.