Python its Features, Characteristics and Importance.

What is Python? 

Let's take a look at the basics of Python before you decide whether to learn it or not.

Python's versatility is impressive. It can be used to write algorithms and data structures, web scraping, and scripting. It is often used in data visualisation, data automation, artificial intelligence and data analysis projects.  

Python language is a simple language popular among data scientists and software developers. Python is a popular choice for data scientists due to its many open-source Python libraries. These include scikit-learn and pandas, SciPy and Matplotlib. 

Characteristics of Python

• Readability

• Efficiency with improved productivity.

• Interpreted Language

• Dynamically Typed

• Open-source Language

• Support of vast libraries

• High-Level Portability

• Built-in Data Structures

• Impactful Frameworks

• Community Support 

Importance of Python in Different Fields  

Although we think Python is a great tool, most likely, you are not familiar with Python.

Due to its high functionality, many industries cannot do without it. There are numerous benefits of Python programming in the real-world applications. These include web development, data science, data analysis, startup, and finance. 

Python coding is simple and easy to learn. It has three main features: high-level dynamically typed and interpreted. These features make it easy to debug errors and encourage the rapid creation of application prototypes. It is also the language with which anyone can code without much difficulty. Python was invented in 1989 by Guido Van Rossum. It emphasises DRY principles and accessibility. 

Python programming in Machine Learning and Artificial Intelligence 

Artificial Intelligence and Machine Learning are the talks of the town in the 21st century. Both of these fields will provide millions of career opportunities in the future. 

Machine Learning is a branch of Computer Science that creates systems capable of learning independently. This system relies on algorithms that are continually improved using input data. It helps the system "learn" by using these input data. 

It can generate the appropriate output for new situations based on previous knowledge and learn how to respond autonomously. These systems are constantly improving, which is one of their greatest assets. 

Programmers can create algorithms that allow the computer to remember for itself. What programming language do most people choose? It's Python. There is a reason behind it. These domains can be supported with the libraries already in use, such as Pandas and Scikit–Learn, numPy, and many others. 

Python has quickly become the language of choice for machine learning. It is used to build Bayesian network models, decision trees, and many others. TensorFlow by Google is a popular Python library used by data scientists to access many unsupervised quickly and supervised machine learning algorithms. 

Python programming in Business Applications 

Business applications are different from regular applications in general. They cover domains like e-commerce and enterprise resource planning. These applications require flexibility and ease of doing algorithms to work. Python is the language that can provide all of these features. These business applications can be developed using platforms such as Tryton. 

Python is changing the paradigm for open-source languages by replacing Excel in business development requirements. Excel lacks the scalability feature, and Python is taking the stride in this direction to provide better datasets and real-time applications. Business organisations worldwide can make better use of their data with open-source programming languages. Many roles require data fluency and coding knowledge.

Python Features

Python provides many useful features which make it popular and valuable from the other programming languages. It supports object-oriented programming, procedural programming approaches and provides dynamic memory allocation. This is the python list below of a few essential features.

1. Easy to Learn and Use

Python is easy to learn as compared to other programming languages. Its syntax is straightforward and much the same as the English language. There is no use of the semicolon or curly-bracket, the indentation defines the code block. It is the recommended programming language for beginners.

2. Expressive Language

Python can perform complex tasks using a few lines of code. A simple example, the hello world program you simply type print("Hello World"). It will take only one line to execute, while Java or C takes multiple lines.

3. Interpreted Language

Python is an interpreted language; it means the Python program is executed one line at a time. The advantage of being interpreted language, it makes debugging easy and portable.

4. Cross-platform Language

Python can run equally on different platforms such as Windows, Linux, UNIX, and Macintosh, etc. So, we can say that Python is a portable language. It enables programmers to develop the software for several competing platforms by writing a program only once.

5. Free and Open Source

It has a large community across the world that is dedicatedly working towards make new python modules and functions. Anyone can contribute to the Python community. The open-source means, "Anyone can download its source code without paying any penny."

6. Object-Oriented Language

Python supports object-oriented language and concepts of classes and objects come into existence. It supports inheritance, polymorphism, and encapsulation, etc. The object-oriented procedure helps to programmer to write reusable code and develop applications in less code.

7. Extensible

It implies that other languages such as C/C++ can be used to compile the code and thus it can be used further in our Python code. It converts the program into byte code, and any platform can use that byte code.

8. Large Standard Library

It provides a vast range of libraries for the various fields such as machine learning, web developer, and also for the scripting. There are various machine learning libraries, such as Tensor flow, Pandas, Numpy, Keras, and Pytorch, etc. Django, flask, pyramids are the popular framework for Python web development.

9. GUI Programming Support

Graphical User Interface is used for the developing Desktop application. PyQT5, Tkinter, Kivy are the libraries which are used for developing the web application.

10. Integrated

It can be easily integrated with languages like C, C++, and JAVA, etc. Python runs code line by line like C,C++ Java. It makes easy to debug the code.

11. Embeddable

The code of the other programming language can use in the Python source code. We can use Python source code in another programming language as well. It can embed other language into our code.

12. Dynamic Memory Allocation

In Python, we don't need to specify the data-type of the variable. When we assign some value to the variable, it automatically allocates the memory to the variable at run time. Suppose we are assigned integer value 15 to x, then we don't need to write int x = 15. Just write x = 15.

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