Top 5 python library I commonly use.

Python has been one of the mostly used languages in 2018. It's applications ranging from building simple desktop apps, web applications, writing scripts to machine learning and data science.

Today I wanted to share my top five commonly used python library which are powerful and fun to use as well.

1. Request and Beautiful Soup

Though request and Beautiful Soup are two different library's they are commonly used together. The request library is used to send HTTP requests to a certain URL and get the data. Thus it is mainly used in web scraping. The beautiful soup on the other hand is used to format the data and select the necessary data.

Since I prefer working in terminal most of the time, I had written a simple script using these library that would fetch me the meanings of the word into the terminal itself. You can check it out on my github:

2. Selenium
Selenium is generally used for testing and perform automation. I heard about this library from the book named "Automate the boring stuffs with Python", though I have not gone through the whole book I think it is a good read for those interested. It is also one of the must know library of python, once you go with the test driven web application development.

3. Numpy
I hope we all know about numpy. Numpy is a library for performing mathematical and logical operations on an array. One must be familiar with the numpy array's if he/she is interested to work in the field of machine learning or data analysis. Also, most of the other library used for ml and data analysis(like sckit learn, matplotlib, scipy) uses numpy array for calculation.
You can learn more about numpy here: http://www.numpy.org/

4. Re
Re often known as regular expression, is one of the most powerful tool that can be quite handy in finding patterns in the strings. If you have read about finite automata than this might be quite easy to learn.

5. os module

The OS module in Python provides a way of using operating system dependent functionality. The functions that the OS module provides allows you to interface with the underlying operating system that Python is running on – be that Windows, Mac or

Linux. You will find yourself using it quite often when you want to interact with the file systems.
So these are my top five commonly used python library. Which python library's do you use most often?

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