In Python, the "time" module provides various functions to work with time-related operations. Here are some of the common uses of the "time" module:
Getting Current Time: The
time()
function returns the current time in seconds since the epoch (the epoch is a predefined point in time, usually January 1, 1970).
sleep()
function is used to pause the execution of the program for a specified number of seconds. This can be useful for introducing delays in your code.strftime()
function is used to format a time object into a string according to a specified format.timeit
module provides a simple way to measure the execution time of small bits of Python code.time
module can be used to measure the elapsed time between two points in your code.In Python, the "csv" module is used to work with Comma-Separated Values (CSV) files. CSV is a simple file format that is often used to store tabular data (numbers and text) in plain text, with each line representing a row of data and the values within each row separated by commas.
Here's a brief explanation of how to use the "csv" module in Python:
Import the csv module:
First, you need to import the "csv" module.
Reading CSV Files:
You can use the csv.reader
to read data from a CSV file. Here's a simple example
with open('example.csv', 'r') as file: csv_reader = csv.reader(file) for row in csv_reader: print(row)
In this example,
example.csv
is the name of the CSV file. Thecsv.reader
object is used to iterate over the rows in the CSV file.Writing CSV Files:
You can use the
csv.writer
to write data to a CSV file. Here's an example:
In this example,
output.csv
is the name of the output file. Thecsv.writer
object is used to write rows to the CSV file.Custom Delimiters:
While CSV stands for Comma-Separated Values, you can use other delimiters as well. For example, if your file uses a tab character as a delimiter, you can specify it when creating the reader or writer:
In this case, the
delimiter='\t'
argument tells thecsv.reader
that the values in the file are separated by tabs.
These are some basic examples, and the "csv" module provides additional functionality for handling different CSV dialects, quoting, and more. Refer to the Python documentation for the "csv" module for more detailed information
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