{"id":482,"date":"2025-05-19T11:38:34","date_gmt":"2025-05-19T11:38:34","guid":{"rendered":"https:\/\/buhave.com\/courses\/?p=482"},"modified":"2025-05-20T12:56:49","modified_gmt":"2025-05-20T12:56:49","slug":"file-handling","status":"publish","type":"post","link":"https:\/\/buhave.com\/courses\/python\/file-handling\/","title":{"rendered":"File Handling"},"content":{"rendered":"

Reading and writing files<\/h2>\n

What Is File Handling?<\/h3>\n

File handling lets you read from, write to, and modify files stored on your computer. Python uses the built-in open() function to interact with files.<\/p>\n

Opening a File<\/strong><\/p>\n

file = open(“example.txt”, “mode”)<\/em><\/p>\n

Modes:<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n
Mode<\/strong><\/th>\nDescription<\/strong><\/th>\n<\/tr>\n<\/thead>\n
'r'<\/code><\/td>\nRead (default mode)<\/td>\n<\/tr>\n
'w'<\/code><\/td>\nWrite (overwrites existing file)<\/td>\n<\/tr>\n
'a'<\/code><\/td>\nAppend to end of file<\/td>\n<\/tr>\n
'x'<\/code><\/td>\nCreate a new file (error if file already exists)<\/td>\n<\/tr>\n
'b'<\/code><\/td>\nBinary mode (e.g., 'rb'<\/code>, 'wb'<\/code>)<\/td>\n<\/tr>\n
't'<\/code><\/td>\nText mode (default)<\/td>\n<\/tr>\n
'+'<\/code><\/td>\nRead and write (updates existing file)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Reading from a File<\/strong><\/p>\n

Read Entire File<\/strong><\/p>\n

with open(“example.txt”, “r”) as f:<\/em>
\ncontent = f.read()<\/em>
\nprint(content)<\/em><\/p>\n

Read Line-by-Line<\/strong><\/p>\n

with open(“example.txt”, “r”) as f:<\/em>
\nlines = f.readlines()<\/em><\/p>\n

Writing to a File<\/strong><\/p>\n

Overwrite (Write Mode ‘w’)<\/strong><\/p>\n

with open(“output.txt”, “w”) as f:<\/em>
\nf.write(“Hello, world!\\n”)<\/em><\/p>\n

Append (Append Mode ‘a’)<\/strong><\/p>\n

with open(“output.txt”, “a”) as f:<\/em>
\nf.write(“This line will be added.\\n”)<\/em><\/p>\n

Writing Multiple Lines<\/strong><\/p>\n

lines = [“Line 1\\n”, “Line 2\\n”, “Line 3\\n”]<\/em>
\nwith open(“lines.txt”, “w”) as f:<\/em>
\nf.writelines(lines)<\/em><\/p>\n

Always Use with<\/strong><\/p>\n

The with statement automatically closes the file when done (safer and cleaner than manually using file.close()).<\/p>\n

Common Errors<\/strong><\/p>\n

    \n
  • FileNotFoundError: File does not exist in read mode.<\/li>\n
  • PermissionError: You don\u2019t have permission to access\/write.<\/li>\n
  • UnicodeDecodeError: Mismatch in encoding.<\/li>\n<\/ul>\n

    To fix encoding issues:<\/strong><\/p>\n

    with open(“file.txt”, encoding=”utf-8″) as f:<\/em>
    \n…<\/em><\/p>\n

    Reading\/Writing Binary Files<\/strong><\/p>\n

    For non-text files (images, PDFs, etc.):<\/p>\n

    with open(“image.jpg”, “rb”) as f:<\/em>
    \ndata = f.read()<\/em><\/p>\n

    with open(“copy.jpg”, “wb”) as f:<\/em>
    \nf.write(data)<\/em><\/p>\n

    Summary:<\/strong><\/p>\n

      \n
    • Use open(filename, mode) to access files.<\/li>\n
    • Use read(), readline(), or readlines() to read.<\/li>\n
    • Use write() or writelines() to write.<\/li>\n
    • Always use with open(…) for safe file handling.<\/li>\n
    • Choose modes (r, w, a, b, etc.) based on your need.<\/li>\n<\/ul>\n

      with statement<\/h2>\n

      What Is the with Statement?<\/h3>\n

      The with statement simplifies resource management by ensuring that setup and cleanup actions (like opening and closing a file) are automatically handled \u2014 even if errors occur.<\/p>\n

      It’s most commonly used for file handling, but applies to any object that supports a “context manager” (i.e., has __enter__() and __exit__() methods).<\/p>\n

      Syntax<\/strong><\/p>\n

      with expression as variable:<\/em>
      \n# do something with variable<\/em><\/p>\n

      Example (file handling):<\/strong><\/p>\n

      with open(“example.txt”, “r”) as f:<\/em>
      \ncontent = f.read()<\/em>
      \nprint(content)<\/em>
      \n# File is automatically closed after this block<\/em><\/p>\n

      Behind the Scenes<\/strong><\/p>\n

      When you use:<\/strong><\/p>\n

      with open(“file.txt”) as f:<\/em>
      \n…<\/em><\/p>\n

      It’s roughly equivalent to:<\/strong><\/p>\n

      f = open(“file.txt”)<\/em>
      \ntry:<\/em>
      \n# Do something<\/em>
      \nfinally:<\/em>
      \nf.close()<\/em><\/p>\n

      But shorter, cleaner, and error-safe.<\/p>\n

      Benefits of with<\/strong><\/p>\n

        \n
      • Automatic cleanup: No need to call close() manually.<\/li>\n
      • Error handling: Ensures proper exit even if an exception occurs.<\/li>\n
      • Cleaner code: Less boilerplate, more readable.<\/li>\n
      • Prevents resource leaks: Great for files, sockets, database connections, etc.<\/li>\n<\/ul>\n

        Multiple Contexts<\/strong><\/p>\n

        You can handle multiple resources in one line:<\/strong><\/p>\n

        with open(“in.txt”, “r”) as fin, open(“out.txt”, “w”) as fout:<\/em>
        \nfor line in fin:<\/em>
        \nfout.write(line.upper())<\/em><\/p>\n

        Custom Context Managers<\/strong><\/p>\n

        You can make your own objects usable with with by defining:<\/strong><\/p>\n

        class MyContext:<\/em>
        \ndef __enter__(self):<\/em>
        \nprint(“Entered”)<\/em>
        \nreturn self<\/em><\/p>\n

        def __exit__(self, exc_type, exc_value, traceback):<\/em>
        \nprint(“Exited”)<\/em><\/p>\n

        with MyContext() as obj:<\/em>
        \nprint(“Inside block”)<\/em><\/p>\n

        Output:<\/strong><\/p>\n

        Entered<\/em>
        \nInside block<\/em>
        \nExited<\/em><\/p>\n

        Common Use Cases<\/strong><\/p>\n

          \n
        • File handling (open)<\/li>\n
        • Database connections (sqlite3.connect)<\/li>\n
        • Thread\/lock management (with threading.Lock():)<\/li>\n
        • Temporary files and directories<\/li>\n
        • Network sockets<\/li>\n
        • Custom cleanup routines<\/li>\n<\/ul>\n

          Summary:<\/strong><\/p>\n

            \n
          • The with statement manages setup\/teardown automatically.<\/li>\n
          • It’s used with context managers to write safer, cleaner code.<\/li>\n
          • Most useful for files, but works for many other resources.<\/li>\n
          • Saves time and avoids bugs caused by forgetting to release a resource.<\/li>\n<\/ul>\n

            Working with CSV and JSON files<\/h2>\n

            CSV (Comma-Separated Values)<\/h3>\n

            CSV files store tabular data as plain text, with each row on a new line and each column separated by commas.<\/p>\n

            Reading a CSV File<\/strong><\/p>\n

            Python provides the built-in csv module:<\/strong><\/p>\n

            import csv<\/em><\/p>\n

            with open(“data.csv”, newline=”) as file:<\/em>
            \nreader = csv.reader(file)<\/em>
            \nfor row in reader:<\/em>
            \nprint(row)<\/em><\/p>\n

            Writing to a CSV File<\/strong><\/p>\n

            with open(“output.csv”, “w”, newline=”) as file:<\/em>
            \nwriter = csv.writer(file)<\/em>
            \nwriter.writerow([“Name”, “Age”])<\/em>
            \nwriter.writerow([“Alice”, 30])<\/em><\/p>\n

            Reading as Dictionary<\/strong><\/p>\n

            with open(“data.csv”) as file:<\/em>
            \nreader = csv.DictReader(file)<\/em>
            \nfor row in reader:<\/em>
            \nprint(row[“Name”], row[“Age”])<\/em><\/p>\n

            Writing with DictWriter<\/strong><\/p>\n

            with open(“output.csv”, “w”, newline=”) as file:<\/em>
            \nfieldnames = [“Name”, “Age”]<\/em>
            \nwriter = csv.DictWriter(file, fieldnames=fieldnames)<\/em>
            \nwriter.writeheader()<\/em>
            \nwriter.writerow({“Name”: “Bob”, “Age”: 25})<\/em><\/p>\n

            Common CSV Tips<\/strong><\/p>\n

              \n
            • Use newline=” on Windows to avoid blank lines.<\/li>\n
            • Customize the delimiter using csv.reader(file, delimiter=’;’).<\/li>\n<\/ul>\n

              JSON (JavaScript Object Notation)<\/h3>\n

              JSON is a lightweight format for structured data, commonly used in APIs and configurations.<\/p>\n

              Python Data \u2194 JSON<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n
              Python<\/th>\nJSON<\/th>\n<\/tr>\n<\/thead>\n
              dict<\/code><\/td>\nobject<\/td>\n<\/tr>\n
              list<\/code> \/ tuple<\/code><\/td>\narray<\/td>\n<\/tr>\n
              str<\/code><\/td>\nstring<\/td>\n<\/tr>\n
              int<\/code> \/ float<\/code><\/td>\nnumber<\/td>\n<\/tr>\n
              True<\/code> \/ False<\/code><\/td>\ntrue<\/code> \/ false<\/code><\/td>\n<\/tr>\n
              None<\/code><\/td>\nnull<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              Reading JSON from a File<\/strong><\/p>\n

              import json<\/em><\/p>\n

              with open(“data.json”, “r”) as file:<\/em>
              \ndata = json.load(file)<\/em>
              \nprint(data)<\/em><\/p>\n

              Writing JSON to a File<\/strong><\/p>\n

              with open(“output.json”, “w”) as file:<\/em>
              \njson.dump(data, file, indent=4)<\/em><\/p>\n

              Converting Between JSON Strings and Python<\/strong><\/p>\n

              json_string = ‘{“name”: “Alice”, “age”: 30}’<\/em>
              \ndata = json.loads(json_string) # JSON \u2192 Python dict<\/em><\/p>\n

              new_json = json.dumps(data, indent=2) # Python \u2192 JSON string<\/em>
              \nprint(new_json)<\/em><\/p>\n

              Pretty Printing JSON<\/strong><\/p>\n

              print(json.dumps(data, indent=4, sort_keys=True))<\/em><\/p>\n

              Summary:<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n
              Feature<\/strong><\/th>\nCSV<\/strong><\/th>\nJSON<\/strong><\/th>\n<\/tr>\n<\/thead>\n
              Type<\/td>\nFlat, tabular data<\/td>\nNested, structured data<\/td>\n<\/tr>\n
              Module<\/td>\ncsv<\/code><\/td>\njson<\/code><\/td>\n<\/tr>\n
              Read<\/td>\ncsv.reader<\/code>, csv.DictReader<\/code><\/td>\njson.load()<\/code><\/td>\n<\/tr>\n
              Write<\/td>\ncsv.writer<\/code>, csv.DictWriter<\/code><\/td>\njson.dump()<\/code><\/td>\n<\/tr>\n
              Use<\/td>\nExcel, spreadsheets, data exports<\/td>\nAPIs, configs, data interchange<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              Let me know if you\u2019d like examples using Pandas, or want a hands-on challenge to convert CSV to JSON and vice versa!<\/p>\n","protected":false},"excerpt":{"rendered":"

              Reading and writing files What Is File Handling? File handling lets you read from, write to, and modify files stored on your computer. Python uses the built-in open() function to interact with files. Opening a File file = open(“example.txt”, “mode”) Modes: Mode Description ‘r’ Read<\/p>\n","protected":false},"author":1,"featured_media":483,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-482","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python"],"yoast_head":"\nFile Handling - Python Course<\/title>\n<meta name=\"description\" content=\"File handling in Python involves opening, reading, writing, and managing files efficiently using built-in functions and context managers.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/buhave.com\/courses\/python\/file-handling\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"File Handling - 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