What is python used for? 

What is Python?

Designed and created by Guido van Rossum in 1991, Python is a state-of-the-art, programmatic language to translate. Python has an object-oriented approach that aims to help programmers write clear and logical code. Language is typically typed and garbage is collected in standard programming language. Language supports multiple programming paradigms, including object-oriented, programmatic, and functional editing. Python was born in the late 1980's as a fan of the ABC language. In 2000, improved features such as list comprehension and reference collection systems were added to Python.

How Do I Learn Python?

Python is a simple language with simple syntax. Python is gaining popularity day by day as it is the backbone of new technologies such as data science, machine learning, and artificial intelligence. So several educational websites offer excellent Python lessons. You can also check out Python tutorials on Hackr.io to begin your journey as a Python engineer. If reading a book is your favorite form of reading and writing, you might want to check out these great Python books we have included for you in a short list.

Later in your study journey, when you feel the need to go a long way and test your skills, you may also want to get a certificate to become a certified Python engineer. Please read Python's best certificates for your guidance. Lastly, I would recommend that you stay focused, motivated, and motivated to stick to this journey and make it to the end.

What Is Python Used For?

With a large number of advanced features Python offers a large number of applications. Google, NASA, CERN, Yahoo, Wikipedia, major platforms that use Python to improve. Let's see the great use of Python below:

1. Web Development

Python provides pre-built libraries and frameworks such as Pyramid, Django, and Flask; web applications can be upgraded quickly. The framework is based on standard backend logic & several libraries help integrate protocols such as FTP, HTTP, SSL, and XML, JSON, and more. Python Frameworks provides unparalleled security, scalability, and ease compared to building websites from scratch.

2. Scientific Computing

Python has a list of libraries that are compatible with science & science and are used for scientific research and computer programming. Some of the most popular Python Scientific Computing libraries are:

Astropy Astronomy

Biopython for biology & bioinformatics

Graph tool for vertical graph analysis

Psychology of neuroscience & experimental psychology

3. Data Science and Visualization

Data is invaluable in this age of technology. You can win the lottery if you know how to extract the right information from the data and calculate the risk to maximize profits. Python libraries such as Panda, Numpy's help in extracting data from data.

Also, Matplotlib, Seaborn, is a data-viewing library that helps visualize data such as graphing.

4. Machine learning

Machine Learning is different from data science as well as Python ML libraries. Machine Learning is about computer training and making it learn from past experiences or patterns using data stored or creating algorithms in which computers learn. ML offers apps such as Netflix or Amazon recommendation programs and speed recognition. Python plays a key role in providing ML libraries and frameworks such as Sci-kit Learn, TensorFlow and more.

5. Finance Industry

Python is much needed in the global financial world. Python offers features such as fast, stable, and secure, which makes its language grow faster financially. Financial technology in big banks like BOA is working to convert their asset code into Python.

6. Making bots

Bots are designed to perform certain tasks online; for example, have you encountered an outbox when visiting websites? Those are chatbots and help in providing customer support. Bots are designed to perform repetitive actions faster than humans. Python is one of the main languages ​​for creating bots.

Some examples of open-source bot are:

Python-rtmbot: a popular bot framework for creating slack bots with real-time messaging (RTM) API over WebSockets.

GitHub provides services for creating bots, including code captions and useful tips.

Errbot: is a chatbot for building bots for Slack, Discord, Hipchat. Errbot aims to allow people to reproduce their programs by cheating the Python source code provided.

7. Data Mining

The process of analyzing big data to create trend predictions refers to DM. It is a complex process and involves analyzing social media platforms, crime scenes, etc .. Python is considered one of the leading languages ​​for data editing and processing. Also, Python simplifies data analysis with the use of frameworks and algorithms. Popular data mining frameworks include NumPy, SciPy, Sci-kit learn, Dask.

8. GUI-based desktop applications

Graphical User Interface allows users to interact with computers using visuals as icons and images instead of text-based commands. Python enables us to design desktop applications by providing useful tools and libraries. Some of the most widely used Python libraries and tools are:

Tkinter: Python's built-in interface that works on all the most popular platforms such as Microsoft, Linux, and Mac OS X.

PyGTK: a free toolkit for creating graphical environments.

WxPython: wxWidgets cross-platform and GUI tools.

Kivy: is a Python library for producing mobile apps and multi-touch software.

9. Game Development and 3D Graphics

Interactive games can be built with Python; provides functionality and game development libraries. Some of the Python libraries and game development frames are:

PyOpenGl: The library provides fully integrated game production modules and multimedia programs.

Panda3D: A collection of OpenGL programs.

Blender: It is a tool for creating 3D image models.

Arcade: It is a Python library for introducing 2D games around the world.

10. Web Scraping Application

The disposal of large amounts of data from a website seems to be useful later in a few real processes such as job listings, price comparisons, research and development, and much more. Python helps extract data from the web through a library called BeautifulSoup.

11. Business Applications

Business applications include domains such as e-commerce, ERP, and more, so it requires expandable, scalable, easy-to-read applications. Python fits well with such needs. Platforms such as Tryton are used to develop such business applications.

12. Audio Video Apps

Multi-functioning applications and outgoing media also use Python. Audio-video applications such as TimPlayer, CPlay are based on Python Libraries and provide stability and functionality.

13. CAD applications

Computer-Aided Designing is a complex system and includes a few elements and their representation functions that need to be taken care of. Python makes this complex application easy. Fandango is a popular CAD application.

14. Embedded applications

Python is based on C and can be used to build Embedded software for embedded applications. RaspberryPi is a well-known application that uses Python to make its own computer as Python helps to make high-quality applications for smaller devices. The device can be used as a computer or as a simple embedded board to perform advanced calculations.

Conclusion

That brings us to the end of the use of Python programming language, which dominates the AI ​​era and data science. Applications build web and game development in advanced applications such as data mining and bots all dependent on Python for faster development, easier process, and security. Apart from the fact that many industries turn their production and development into smart and automated products based on AI and ML concepts, needless to say, Python is the backbone of this technology and will expand its use quickly. Switching to Python-based applications is a new trend in the technology industry, and as a result the need for Python developers is much higher and much needed.

Why do you use Python? Let us know in the comments.

(Note- all information I got by soure Or on google some information and some words or sentence may be not correct it will be wrong, I am checking all information, sorry for inconvenience)