GCSE Computer Science: File Handling
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Frequently Asked Questions
What is file handling in programming?
File handling in programming refers to the ability of a program to create, read, write, and manipulate files on a computer's file system. Files can be used to store data, settings, and other types of information that a program needs to access or save.
What are the different types of files that can be handled in programming?
There are different types of files that can be handled in programming, including text files, binary files, and CSV files. Text files contain human-readable text, while binary files contain data in a format that can be read by a machine. CSV files are a type of text file that stores data in a table format, with each line representing a row and each value separated by a delimiter such as a comma.
How do you open and close a file in programming?
To open a file in programming, you can use the built-in
open() function in many programming languages, such as Python. This function takes two arguments: the file name and the mode in which you want to open the file (e.g., read-only, write-only, or read-write). Once you are done working with the file, you can close it using the
What is the difference between reading and writing a file in programming?
Reading a file in programming means that you are accessing the contents of the file and extracting data from it. Writing a file means that you are creating a new file or overwriting an existing file with new data. Both reading and writing files require the use of specific functions or methods in programming languages.
What are some common applications of file handling in programming?
File handling is used in many programming applications, such as file compression, data analysis, and database management. For example, a program may read data from a file, manipulate it, and then write the updated data back to the file. Similarly, a program may create a new file, write data to it, and then save it to the file system. File handling is an essential skill for creating and manipulating data in many real-world applications, such as data analysis, web development, and scientific research.