Reading and Writing files in Python
You always have to read and write files when working for a company or Hackathon. So, it’s necessary to know how to read different types of files.
Let’s start the boring but important part
The most important command to open a file in Python is the open() method. It takes two parameters, Name of the file and action mode.
Like most of the other programming languages, Python has 4 modes to access a file:-
1. “r” – Read – Reads a file
2. “a” – Append – Appends a file or create a new file
3. “w” – Write – Writes a new file
4. “x” – Create – Creates the specified file
Apart from these you can also specify the format in which you want to open the file:
1. t for Text(Default)
2. b for Binary file
Open a file
x = open(“Analytics.txt”,”rt”)
It opens the file, basically reads it in text format
Read the file
You can also read the file line by line by the following method or by using
Write something in a file
Delete a file
Use the “os” package and then run the remove() command
import os
os.remove(“file name”)
God forbid, if you ever have to delete a folder and want to look cool in front of your friends, you can use the following command
os.rmdir(“Name of directory”)
Reading CSV file
Comma Separated Values or CSV file format is one of the most used file formats and you will definitely come across reading a
In order to read it, you should ideally import pandas library
import pandas as pd
x = pd.read_csv(“File Path”)
P.S. – This will convert the file in a Data Frame
You can read about different parameters here
There are a lot of file formats, but we covered only those which are of utmost
If you need information about a specific file format, do comment below.
Keep learning 🙂
XtraMous
The Data Monk services
We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now
- YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
Link – The Data Monk Youtube Channel - Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
Link – The Data Monk website - E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
Link – The Data E-shop Page - Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
Link – The Data Monk Instagram page - Mock Interviews/Career Guidance/Mentorship/Resume Making
Book a slot on Top Mate
The Data Monk e-books
We know that each domain requires a different type of preparation, so we have divided our books in the same way:
1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics
You can check out all the other e-books on our e-shop page – Do not miss it
For any information related to courses or e-books, please send an email to [email protected]