In Python, there is no need for importing external library to read and write files. Python provides an inbuilt function for creating, writing and reading files.
In this tutorial, we will learn:
With Python you can create a .text files (guru99.txt) by using the code, we have demonstrated here how you can do this
for i in range(10): f.write("This is line %d\r\n" % (i+1))
Here is the result after code execution
When you click on your text file in our case “guru99.txt” it will look something like this
You can also append a new text to the already existing file or the new file.
Once again if you could see a plus sign in the code, it indicates that it will create a new file if it does not exist. But in our case we already have the file, so we are not required to create a new file.
for i in range(2): f.write("Appended line %d\r\n" % (i+1))
This will write data into the file in append mode.
You can see the output in “guru99.txt” file. The output of the code is that earlier file is appended with new data.
Not only you can create .txt file from Python but you can also call .txt file in a "read mode"®.
Step 1) Open the file in Read mode
Step 2) We use the mode function in the code to check that the file is in open mode. If yes, we proceed ahead
if f.mode == 'r':
Step 3) Use f.read to read file data and store it in variable content
Step 4) print contents
Here is the output
You can also read your .txt file line by line if your data is too big to read. This code will segregate your data in easy to ready mode
When you run the code (f1=f.readlines()) for reading the file or document line by line, it will separate each line and present the file in a readable format. In our case the line is short and readable, the output will look similar to the read mode. But if there is a complex data file which is not readable, this piece of code could be useful.
Here is the complete code
Python 2 Example
def main(): f= open("guru99.txt","w+") #f=open("guru99.txt","a+") for i in range(10): f.write("This is line %d\r\n" % (i+1)) f.close() #Open the file back and read the contents #f=open("guru99.txt", "r") # if f.mode == 'r': # contents =f.read() # print contents #or, readlines reads the individual line into a list #fl =f.readlines() #for x in fl: #print x if __name__== "__main__": main()
Python 3 Example
def main(): f= open("guru99.txt","w+") #f=open("guru99.txt","a+") for i in range(10): f.write("This is line %d\r\n" % (i+1)) f.close() #Open the file back and read the contents #f=open("guru99.txt", "r") #if f.mode == 'r': # contents =f.read() # print (contents) #or, readlines reads the individual line into a list #fl =f.readlines() #for x in fl: #print(x) if __name__== "__main__": main()
Python File Handling | File Operations in Python | Learn python programming
This Edureka live session on File Handling with Python covers all the important aspects of using files in Python right from the introduction to what fields are, all the way till checking out the major aspects of working with files and using the code-first approach to understand them better.
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
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Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.
In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.
Heres a solution
Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.
But How do we do it?
If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?
The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.
There’s a variety of hashing algorithms out there such as
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Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Swapping value in Python
Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead
>>> FirstName = "kalebu" >>> LastName = "Jordan" >>> FirstName, LastName = LastName, FirstName >>> print(FirstName, LastName) ('Jordan', 'kalebu')
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Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…
You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like init, call, str etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).
Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.
class AnyClass: def __init__(): print("Init called on its own") obj = AnyClass()
The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.
The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.
Init called on its own
Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,
class AnyClass: def __init__(self, var): self.some_var = var def __add__(self, other_obj): print("Calling the add method") return self.some_var + other_obj.some_var obj1 = AnyClass(5) obj2 = AnyClass(6) obj1 + obj2
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