In this post, we will learn What Is Lazy Method For Reading Big File In Python involves reading the file in chunks even in lines to avoid the loading of the entire files at once in the program which could make the program more complex and heavy. And generally, we use this approach at times when we have a large file to import.
It is a function that we use for accessing large files in chunks or line by line to avoid loading the large files and getting the content of the file simply by access the content line by line for example have a look at the code given below and understand to implement the same in your project.
with open(' big_file.txt', 'r') as f: for line in f: # process line
In the example given above we simply open the file by using a ‘with’ statement which has a property to make sure that we read the data and after accessing or getting the data we simply close the file so that we would not occupy any other memory space so we simply keep on iterating the file using a for loop in the above code. And even we can perform desired operations on every line we are encountering by iteration of the file line by line.
There is another way to do the same thing which involved the use of an open() function that has a fixed size for each time to access which is 1024 bytes. And for example, we have given a code below to understand and implement the same in our project.
with open('big_file.txt', 'rb') as f: while True: chunk = f.read(1024) # read 1024 bytes at a time if not chunk: break # process chunk
Here we have given two of them which are used for memory efficiency and to handle large files handle, B simply not loading the entire file at a time but rather accesses the file data in line by line or in chunks which closes the file after getting the line read which saves the memory to store the same thing in main memory.
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