Features of Python Programming Language

Python is one of the most popular programming languages of all time. Since its first release in 1991, Python has been widely used for developing websites and software, automation, data analysis, etc. This programming language is extremely easy to learn and use. Furthermore, Python eliminates the need to write elaborate codes. This significantly reduces development time. Python is a popular programming language globally, making the Python Programming Online course essential for web developers. Python offers extensive libraries like Keras, Seaborn, Numpy, SciPy, etc., and includes multiple third-party modules. Moreover, it provides numerous user-friendly data structures, thus, making it convenient for programmers. Python is used in many fields. Therefore, Python training ensures a secure career for aspiring developers and programmers.

This article provides insight into the essential features of the Python programming language and the prerequisites to learn Python. Keep reading to know more.

Features of Python Programming Language

Python is a robust programming language. It comes with numerous unique features that make Python the number-one choice for programmers.

Let us look at the important features of Python in detail.

1. Easy To Learn: Python has a concise syntax that makes reading, learning, and writing in Python easier for programmers.
2. Interpreted Language: Python is an interpreted programming language. The instructions in this programming language are executed by a program called Interpreter.
3. Dynamically typed: Python is dynamically typed. Therefore, it eliminates the need to declare the data types of the variables.
4. Open Source: Python is an open-source and cost-free programming language. Therefore, programmers can use the Python features without additional charges.
5. Extensive Standard Library: Python offers numerous useful libraries like Keras, Numpy and SciPy, Seaborn, etc.
6. Object-Oriented Programming Language: Python is an Object-Oriented programming language. It supports structured, object-oriented, and functional programming.
7. Extensive Community Support: Python is a widely-used programming language with an expansive user community.
8. Platform Independent: Python is platform-independent in nature. It seamlessly runs on platforms like Windows, Mac, Linux, etc.
9. Extensible and Embeddable: Python is extensible and embeddable. Therefore, it can be compiled with C, C++, etc.
10. Graphical User Interface (GUI) Support: Python supports Graphical User Interfaces (GUIs) to build platform-specific technologies.

Prerequisites for Python

Python is extensively used for several purposes, making Python training extremely beneficial for aspiring programmers.

However, aspiring programmers must consider the following prerequisites before joining Python Training in Delhi to learn this programming language efficiently.

1. Basic Computer Skills: To begin with, aspiring Python programmers are suggested to learn basic computer skills. Python is a cross-platform language. Therefore, one can use Windows, macOS, or Linux to begin learning Python.
2. Probability and Statistics: Novice computer programmers are suggested to get a solid mathematical foundation. Gaining some knowledge of mathematics, probability, and statistics can help one grasp the basics of programming better.
3. Front End and Back End: Python beginners must know the basic concepts of Front-End, Back-End, and Full-Stack Development. Front-End development primarily relies on HTML, JavaScript, and CSS. However, Python is mainly used for Back-End or server-side development.

Scope in Python Programming Language

In Python, the term “scope” refers to the region of a program where a particular variable is accessible. It defines the visibility and lifetime of a variable. Understanding scope is crucial for writing robust and maintainable code.

1. Global Scope:

• Variables defined outside of any function or class have a global scope.
• They are accessible from any part of the code, including functions and modules.
• Global variables persist throughout the program’s execution.

2. Local Scope:

• Variables defined within a function have local scope.
• They are only accessible within that specific function.
• Local variables exist only during the execution of the function and are destroyed when the function completes.

3. Enclosing Scope (Closure):

• In nested functions, a variable declared in an outer function is also accessible in inner functions.
• This forms a closure, and the variable is said to have an enclosing scope.
• Enclosing scope allows inner functions to capture and remember the values of the variables in the outer function, even after the outer function has finished executing.

4. Built-in Scope:

• Python has a set of built-in names that are always accessible from any part of the program.
• These include functions like print() and constants like True and False.
• Built-in scope is automatically available without the need for explicit declarations.

5. Namespace:

• A namespace is a container that holds a set of identifiers (variable names) and their corresponding objects (values).
• Each function, class, and module in Python has its own namespace.
• Namespaces help in avoiding naming conflicts and provide a way to organize and manage variables.

6. LEGB Rule:

• Python follows the LEGB rule to determine the order in which it searches for a variable:
  • Local: Inside the current function.
  • Enclosing: In any enclosing functions (if applicable).
  • Global: At the top level of the module or script.
  • Built-in: In the built-in namespace.

7. Global Keyword:

• The global keyword allows the modification of a global variable from within a function.
• Without the global keyword, Python treats the variable as local to the function.

8. Nonlocal Keyword:

• The nonlocal keyword is used in nested functions to indicate that a variable is not local but should be found in an enclosing scope.
• It is particularly useful when dealing with closures.

9. Modifying Global Variables:

• While global variables can be accessed from within a function, modifying them requires the use of the global keyword.
• This ensures that Python knows you intend to change the global variable and not create a new local one.

10. Lifetime of Variables:

• The lifetime of a variable is the duration during which it exists in the memory.
• Global variables typically have a longer lifetime than local variables.
• Variables are created when they are first assigned a value and are destroyed when they go out of scope.

Conclusion

To conclude, Python is one of the most popular programming languages of all time. This programming language was first released in 1991 with an aim to boost website and web application development. Today, Python is widely used for developing websites and software, automation, data analysis, etc. This programming language eliminates the need to write elaborate codes and reduces web application development time significantly. Furthermore, Python is extremely easy to learn and use, making it well-suited for aspiring programmers. This platform-independent programming language seamlessly runs on platforms like Windows, Mac, Linux, etc. Python is an open-source and free programming language. Therefore, programmers can use the Python features without additional charges. Moreover, it offers numerous valuable libraries like Keras, Numpy and SciPy, Seaborn, etc. To learn Python, aspiring programmers must have basic computer and mathematical skills. In addition, Python beginners must know the basic concepts of Front-End, Back-End, and Full-Stack Development.