What are the top application areas of Python programming?


Python is a general-purpose high-level coding language where all other programming languages like HTML, CSS, and JavaScript are only used for the programming purpose but python can be used for other types of programming and software development along with web development. It includes writing the scripts, Data Science, Back end development and software development.

Python application areas:-

1. Web Development

Python is a very simple programming language and we all know it very well. Python has reliable coding and allows its users to use English keywords instead of punctuation. Python has a clean and readable code which help users to maintain and update system software with less time and fewer efforts.

Python has supportive web frameworks Django, Flask, Pyramid, and pre-built libraries. These are useful for back end development projects reducing the amount of time spent on projects.

How to become a Master in Python Programming?

2. Scientific Computing

Python can also be used for scientific research and computing and has several science-friendly or science-specific libraries including:

Astropy-astronomy

Biopython-biology and bioinformatics

Graph-tool-statistical analysis of graphs

Psychopy-neuroscience and experimental psychology

These are all of Python’s scientific libraries. Python plays an important role in parsing data and this is definitely one great advantage of learning it.

3. Machine Learning

Using Python for machine learning is a great choice. As we consider technology, machine learning comes in the Data Science category.

Speech recognition, financial services come into machine learning. Python has specific machine learning libraries and frameworks such as sci-kit and Tensorflow.

4. Startups

Startup seems like an odd item to include in this list, but it’s true. Python has helped many Startups by reducing the need for more employees and hence reducing overall cost. Especially tech startups, love Python because it’s easy to use and scalable which enhances the business at a lower cost. One of the great examples we can consider is a Dropbox which is using python for their development and processing.

5. Finance

Most of the financial industries are using Python in their system processing. It is one of the fastest-growing language in the finance industry. If we look at finance technologies, many popular and big banks like Bank of America have worked hard to transform their processing and function from legacy code to Python.

6. Game Development

Python is a great choice when it comes to the development of innovative and complex games. There are special libraries in python for game development such as PySoy and PyGame. Many popular games such as Civilization-IV, Disney’s Toontown Online, Vega Strike, etc. have been developed and built using Python code.

7. Machine Learning and Artificial Intelligence

Machine Learning and Artificial Intelligence is the two top technologies that offer promising careers for the future. In machine learning and Artificial intelligence we create algorithms by which the system learns by itself. Which programming language can do this task better? Obviously, Python because it has several libraries which supports AI and Machine Learning and they are Pandas, Scikit-Learn, NumPy and so many more. There is only a need of learning the algorithm then use a related library and you will get the solution. If one wants to go in a hardcore way, you need to design your own code which is also much easier compared to other languages.

8. Data Science and Data Visualization

Data extraction is a very important term in data science because it leads to increase profit for your business. For data extraction, you have to study the data you have, perform operations on it, and extract the exact information that you need. There are many libraries available like Pandas and NumPy which helps in extracting information. Some data visualization libraries are also available with pythons such as Matplotlib, Seaborn, which helps you in plotting graphs and much more. This is how python helps us in becoming data scientists.

9. Desktop GUI

Python is also useful to program desktop applications. It provides some libraries which are useful to develop UI and Tkinter library is one of them. There are some other useful toolkits offered by Python such as the wxWidgets, Kivy, PYQT all these are used to create apps on multiple platforms.we can also create some basic and To-Do apps such as calculator using Python.

10. Business Applications

Business Applications are not similar to our normal applications and it covers domains such as e-commerce and ERP. businesses require applications which are scalable, extensible and easily readable and Python provides all these features.

From the above topics, we got an idea of what python is used for. There are so many online courses to learn python and also classroom courses are available in different institutes. NearLearn provides online as well as classroom training for Python Django Certification in Bangalore. Along with Python, it offers so many other professional courses such as Blockchain, React JS, React native and Data science.

Call: +91-80-41700110, Visit: www.nearlearn.com or mail: info@nearlearn.com for more information.

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