8 Reasons Why You Should Learn Python

Posted by Godson on May 7, 2019 in Python
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Introduction to Python

Python is one of the most popular programming languages today. If you are planning to get started with programming, It can be a great option to start with because it is a beginner-friendly language.

It is a high-level programming language which means you don’t need to worry about memory management and stuff like in C++.

Python is used by big companies like Instagram, Facebook, Google, Spotify, Netflix and more. So, you can imagine the need for Python programmers around the world.

Python developers also are one of the highest paid developers since it is popular in Data Science and Machine Learning.

So, let’s take a look at the 8 reasons why you should learn it.

Web Development

Web development can be a complicated task. But, thankfully, Python makes it easy for a developer to get a website up and running within a short period of time.

But you should, of course, have a basic understanding of HTML and CSS. Here is an article on Introduction to HTML5.

There is a popular framework called Django. It is used to write code for the backend of your website. If you want a more controlled framework you can use a micro framework called Flask.

Python has support for a huge number of libraries which you can take advantage of.

Machine Learning

Machine learning has recently become a popular keyword in the tech world. It is basically a way for computers have the ability to learn something without being explicitly programmed.

It does this by watching and learning about patterns of different objects and creating sample data from them. Then using it to perform some predictive analytics.

Machine Learning

TensorFlow is a popular library used for Machine Learning.

Some of the areas where machine learning is used are Email Filtering, Recommendation System, Computer Vision, etc.

Huge Collection of Libraries

Python has a large number of libraries for different things like web scraping, machine learning, computer vision, file operations, data science, game development and more.

Having a lot of libraries can help you make use of the prewritten code and build your application rather than writing everything from scratch.

Data Analysis

Python can be a great choice for data analysis. Data analysis is a process of inspecting, cleansing, transforming and modeling data to get useful information. Data analysis can help a lot in making scientific decisions based on past data.

Data analysis

Some libraries that are used for data analysis are Matplotlib, Pandas, NumPy, etc.

Web Scraping

Web scraping is basically the process of extracting data from a website and storing it into some structured format. Now, once the data is available in a structured format you can perform some operation.

API is the preferred way of getting data from a website. But most of the websites don’t provide APIs. So, you can get data using web scraping.

There is a Python library called BeautifulSoup which can be used for web scraping.

Desktop App Development

You can also develop desktop GUI applications using Python. Tkinter is available as a standard library for Python.

There are also other libraries like PyQT, wxPython, Kivy, etc. which can help you achieve this.


You may be performing some tasks that are boring and repetitive which just takes up a large amount of your time. Here is good news for you. You can automate such tasks using Python.

For example, renaming a lot of files in a specific naming pattern, or if you want to crop a lot of images at once and upload it online, and more. These tasks can be easily automated with Python.

Automation in Python

So, using Python you can save yourselves a lot of your time and use your time for something productive.


Python has a great community which can help you when you are stuck with a problem when programming. You can ask the community or search for the question and you will most likely get the solution.

So, you can go ahead and start with your project right away and learn by doing.

The Bottom Line

I hope this article has given you the motivation to learn Python. Thanks for reading. Happy coding!

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