Python!! The only programming language in the world right now that doesn’t require any introduction. Yup, because when it comes to AI, Machine learning, Data Science, and Big data, then the first language that strikes the mind is Python. There are numerous uses of Python.
It is the most powerful and robust programming language in the world right now. Python is a general-purpose programming language, and anyone can use it for almost any purpose. When I start my data science journey, I come to know about this powerful language.
Python offers various features, i.e., Dynamic Typing, Built-In Data Structures, Powerful Libraries, Frameworks, and many more. Most of the developers prefer Python for rapid application development to save their time and effort. There are lots of uses for python programming. Here in this blog post, I will show you the best uses for Python you have ever noticed.
Some maybe you are well aware of, and some you maybe not. But before we start, we need to have a quick introduction to Python programming for those who are not well aware of python programming. Let’s start:-
Introduction to Python
Python is an open-source and easy to use programming language. It is the most straightforward every programming language created by Guido Van Rossum in the year 1989. He is now working at Google as an employee. Python programming intends to offer the most straightforward programming language to the programmers free from complex syntaxes.
In Python’s initial release, some bugs were still fixed in the latest version of Python 3. Millions of developers in the world are making their contribution to make python better; it is a dynamically typed an interpreted high-level programming language.
It is also one of the best scripting languages in the world. Now you can think that Python is competing with high-level programming languages and competing with the scripting language. It is relatively easy to do debugging in Python. It also offers the rapid development of applications.
Now let’s explore the uses for Python in the world. Wait, wait for a sec! Do you know that most popular web applications and websites use Python for the best functionality such as YouTube, BitTorrent, Netflix, Facebook, DropBox, and many more? It is just a trailer; lots more are still needed to come.
Uses For Python
1. Web Development
Python offers the best framework to develop web applications. It is relatively easy and fast to develop web applications using the python framework. This framework comes with hundreds of packages and modules to integrate different internet protocol types such as HTTPs, FTP, SSL, SMTP, and many more. It also works seamlessly to process.
Web developers used Django and Flask to fulfill their requirements of web development. These frameworks are super powerful and offer security, scalability, and convenience. Anyone having a good command over PythonPython will love to use these python frameworks with web development.
2. Game Development
It is relatively easy to develop interactive games using python programming. Python offers the best library to develop 3D games, i.e., known as PySoy. It is considered the most powerful 3D games engine that supports python 3.
Apart from that, PyGame is one of the finest libraries that provides full functionality to develop games. Some of the most popular games, such as Vega Strike, Civilization has been developed using PythonPython.
3. Machine Learning and Artificial Intelligence
Machine learning and artificial intelligence have become the needs of the world. There are millions of jobs for machine learning and artificial intelligence, and the job opportunity is still counting. There are thousands of machine learning and artificial intelligence algorithms that can be easily implemented and modified with Python programming.
Apart from that, the PythonPython also offers extensive library support for machine learning and artificial intelligence. Some of the most popular libraries are Panda, Scikit-learn, NumPy, and many more. There is an endless opportunity with PythonPython for machine learning and artificial intelligence.
It would help if you spent some time learning these algorithms and then using the libraries and the algorithm, and you can find the solution to any problem that might have occurred in your project.
4. Data Science and Data Visualization
Almost everyone is well aware of data science popularity, and data visualization also plays a crucial role in data science. Data is considered the most valuable thing in the world. Data science is the way to extract the relevant information from the raw data. To do this, you need to perform plenty of statistics operations to extract the relevant information.
Python has one of the greatest support for data science with inbuilt libraries, such as Pandas, NumPy, and many more. Apart from that, data visualization has become quite handy and affordable with Python.
It is offering the best libraries for data visualization, such as Matplotib, Seaborn. You can plot almost any type of graph in PythonPython. It is a phenomenal programming language for data science. Even it got a quick boost in popularity all because of data science.
5. Desktop GUI Applications
When it comes to desktop applications, then the first programming language that strikes our mind is Java. Yup, Java is considered the topmost programming language for desktop applications. But wait, have you read above that PythonPython is a universal programming language? If not, then let me know that you can also build desktop applications using PythonPython.
It has offered the Tkinter library that is used to develop the most appealing and user-friendly interfaces. Apart from that, it also supports the toolkits such as wxWidgets, Kivy, PYQT to create the best desktop application that can run on different platforms such as windows, Linux, and macOS
6. Web Scraping Applications
Python is the most powerful programming language to handle massive amounts of data in a single time. It is the best programming language to pull large amounts of data from the database of any website in real-time.
Most heavy sites such as comparison sites, job listings, social media, and many more sites build their backend with python programming. Python has a library called BeautifulSoup, which can pull large amounts of data in real-time.
7. Business Applications
Business applications are more than desktop applications such as eCommerce applications, SaaS, accounting applications, data analytics, etc. These applications need to be reliable, robust, and efficient enough.
Python is considered the most prominent programming language to create business applications. It has the most advanced platform, i.e., known as Tryton, to build such powerful business applications.
8. Audio and Video Applications
Nowadays, audio and video applications are also built with python programming. It is quite handy to develop multitasking applications using PythonPython. It also has the best libraries for audio and video. The audio and video applications created by PythonPython are easy to use, powerful and stable enough to avoid crashes in any situation.
9. CAD Applications
CAD applications are the most complex application to develop by programmers. It is also a challenging task for the developers to build such applications. Because in CAD applications, the developer needs to take care of the representation and the functionality of every component that is going to be used in CAD applications. Python makes it easy to manage and create CAD applications. Fandango is the most popular CAD application built with Python programming.
10. Embedded Applications
For embedded applications, C is the best programming language. Most of the embedded applications work at the hardware level. That is why it is required to have a low-level programming language to build embedded applications such as C programming.
But we can use the python programming language to create the embedded C software that will build the embedded applications. With the help of this, we can perform a higher level of application on smaller devices.
Raspberry PI is one of the well known embedded applications that use Python for computation. We can use it as a computer or any other embedded software for high levels of computation.
Here in this blog post, we have listed a few primary uses for Python. It is the most robust programming language and plays a crucial role in upcoming technologies, i.e., machine learning, deep learning, blockchain, and many more.
The best part of python programming is that it is continuously growing with the need for technology. That is why it is the number one programming language. Please let me know what the uses for Python are; you know that I have not mentioned above.