what is python used for? Top 10 Python Applications

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what is python used for Top 10 Python Applications

So, you are here because you want to know, what is python used for or Python Applications. Surely, you must know, because Python is such popular language, that people says, Python is everywhere.

 Take the giant platforms like YouTube, Google or Instagram, they all share one thing in common, that is they all use Python.

In this article, I will answer you the question, what is Python used for?

What is python programming?

Python is a general-purpose programming language, which can be used in varieties of fields like in web development, software development, game development, finance and many more.

This multi use of Python made is extremely popular.

Python is an interpreted, object-oriented programming language and it boast for its clear syntax and readability.

Why python is used?

Python is a high level language, it is easy to learn and work with in various domains.

It can be easily used with others popular programming languages like C, C++, COM, ActiveX, CORBA, and Java.

It allows easy programming on both small and large scales.

What is Python used for?

Python is used in many different fields, which made it a high in-demand programming language.

Let us see in details, what is python used for or Python Applications.

1. Web Development

Python is one of the most used programming languages for developing large scale web applications. It has powerful multi features that can be executed with other frameworks like Django, Flask and many more.

The programming written by Python is easy to read, quick to understand and has great efficiency, due to which many web app developers like to use Python rather than other web development languages.

Many bootstrapped and start-ups companies desire to employ Python developers because of its lesser amount of coding and cost efficiency.

2. Machine Learning and Artificial Intelligence

Machine learning and Artificial Intelligence are the hot cakes in present market. There is large number of vacancies with very handsome salary is available.

Using Python for Machine learning and Artificial Intelligence process is easier, fast and more readable. It is easier to program in Python compared with C/C++.

Creation of Artificial Intelligence and Machine learning  is supported by the great and efficient ecosystem of Python.

Python language allows processing and handling complex systems, even though it is easier to learn and use.

3. Software Development

Python is one of the most used languages ​​in the world for developing software. The best thing about Python is its simplicity.

Software developers like it because it is a high-level, general-purpose dynamic language and known for its readability.

Django tops the list due to the nature of being an open source Python software development platform. This technology is simply capable of creating complex data-driven sites.

It operates under an open source license which makes it free to use and distribute.

 Its broad user base makes it a rich internet support system, giving more encouragement to this language for adoption.

4. Game Development

Game can be developed by using Python and it is much easier than developing in Java or C++. Python libraries provide functionalities to build interactive games.

But developing game by Python is not recommended as it is slower.

Python is used in many games like Vega Strike and Disney’s Toontown Online etc.

5. Business Applications

Business application can be developed using Python. E-commerce systems and ERP which need to be scalable and easy to read can be developed using Python, due to its powerful features.

Odoo and Tryton are used for developing business applications.

Many enterprise applications are using Python, such as Pinterst, YouTube and page on openstack etc.

Even Netflix is also using Python in its back end.

6. Data Science and Data Visualization

Python is used for Data Science and Data visualization. Data is the oil of present time. A organization uses raw data (structured or unstructured) analyzes it to reduce the loss and increase the profit.

Extracting the right information from the row data can be accomplished by using Python programming.

The libraries like NumPy, Pandas and Seaborn helps in Data Visualization. Insightful data can be found through Data visualization. Data Visualization is an integral part of Data Science.

7. Desktop Applications

Python offers many libraries for different kind of works. It has some great libraries for developing desktop application.

Kivy and Tkinter are great Python libraries to develop desktop applications. Kivy works on Windows, Linux and Mac. It can also be used for creating Android application.

They are easy to learn and use and very good documentation is also available.

8. Fintech and finance

 Python is a perfect programming language for the fintech companies or even financial industries.

It is the fastest growing programming language as it is helping to fix most of the challenges faced by the fintech and financial companies.

Python library support made the analytics or data crunching very easy and efficient.

There are many investment banking and hedge fund companies are using Python as a powerful tool to solve their problem for trade management and risk management.

If you are stepping into the financial industry then having Python knowledge and experience is almost must.

9. Mobile Applications

Being a high-level and general-purpose programming language Python is capable to develop mobile application. 

Python has various frameworks like Kivy, which is an open-source Python library for developing cross-platform GUI applications. It Works well on Windows, Linux, macOS, iOS & Android. Another very useful Python framework is Django.

But Python is not the best for mobile application development; it is more dominant tool for desktop application, machine learning, artificial intelligence and data science etc.

10. Scientific Computing

The field of Scientific Computing is seeing an extensive use of Python due to its significant frameworks like SciPy and Pandas etc.

For engineering, mathematics and science SciPy is a mighty package.

Data analysis and modelling can be done through Pandas library.

Having some great science-specific libraries, Python became one of the most used programming language for numeric computing and scientific research.

Best ways to learn Python

As you have learned about what is python used for or Python Applications. Now let us see how to learn this language.

Learning Python is easy, as there are so many learning opportunities available for Python.  You just need a good computer with internet service and an immense desire to learn with practical works.

Here is a list of some best ways that can help you to become a successful python developer:

  1. Have a good computer system. A laptop or desktop with at least Intel i3 CPU, 4GB RAM and 1920 x 1080 resolutions displays. (Recommended – Intel i5 CPU, 8GB RAM and 1920 x 1080 resolution display)
  2. Buy a Bestselling or Highest rated course on Python or you may go for some free courses for learning some beginners knowledge.
  3. Find a distraction free place.
  4. Appoint a specific time for your learning.
  5. Be regular and disciplined in learning.
  6. Practice as much as possible. Complete all tasks and assignments given by your instructor.
  7. Never procrastinate. Remember procrastination is the thief of time.
  8. Read article or blogs related to Python programming.
  9. Be a member and contributor in the programming community.
  10. Stick till the bitter end.

Here is a list of some of the Bestselling and Highest rated courses on Python:

Python for Finance: Investment Fundamentals & Data Analytics(udemy)

Python for Financial Analysis and Algorithmic Trading (udemy)

Conclusion

This article gives you a detail information about what is python used for or Python Applications. But still there are many more things to know, I have tried to cover the major areas of, top 10 Python applications that you must know if you are interested in Python programming.

Now let us reviews the main takeaways:

  • Python is an easy to learn and easy to use programming language to start with.
  • Python can be used in many domains because it is a general-purpose language.
  • Data Science, Scientific Computing, Machine learning, Artificial Intelligence, Data Visualization, Software Development, Web development and Desktop Applications are some of the areas where Python is so precious.
  • Fintech and Finance industries are using Python due to its powerful problem solving capacity.
  • You can learn Python programming language even just by sitting at home by following some Bestselling or Highest rated course.

If you are having any question, feel free to ask in comment section below. I will do my best to answer you as soon as possible.

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