File handling in Python is a very critical and beneficial area for programmers coding as it is the cornerstone for performing writing and reading operations in a file. Performing ‘read’ and ‘write’ operations are the most extensively costly operations that one can perform and so attempting to optimize the operation of even a single program can positively affect the overall turnaround time of an entire application. Performance is known to increase drastically if one knows to efficiently handle the file handling options in Python while programming. So let us start with the basics to enhance further understanding.
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Meaning of the term – ‘File’
A file is an entity that is given a unique name to store data records for the sole purpose of storage and retrieval as and when needed. They can be kept stored for indefinite amounts of time in devices like hard disc or they can also be placed in volatile memory like random access memory (RAM). In the case, if you need to view or perform read or write operations, you have to first open the file. And when all the necessary actions are finished performing, we have to close it to indicate the closure of actions.
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File handling in Python refers to the process of reading from and writing to files on a computer system. Python provides built-in functions and methods to interact with files, such as open(), which allows users to open a file in different modes (read, write, append, etc.). Once a file is opened, it can be read using methods like read(), readline(), or readlines(), and written to using write() or writelines(). Python also provides functionality to handle exceptions that may arise during file operations, ensuring the program runs smoothly even in case of errors. Additionally, files can be closed using the close() method or automatically handled using the with statement, which ensures that the file is properly closed after use. This ability to manage files efficiently makes Python a powerful tool for tasks involving data processing, logging, and more.
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