Top 10 Features of Python
Python is one of the most popular programming languages nowadays, and Python developers are in extreme demand. It is a flexible programming language that is favored by software engineers and tech organizations around the world. In this article, we will discuss top 10 features of Python.
If you’re a beginner looking to learn to code and build cool apps, you’ve probably read a lot about different programming languages (such as C, C++, Python, Java, HTML, and JavaScript). It might be quite confusing, as each has unique features that set it apart from the rest. At first glance, some of these programming languages seem relatively difficult to grasp for beginners. However, once we take a closer look, quite a few options are perfect for newbies who want to get started with coding fast. This article will discuss the Top 10 Features of one such programming language, i.e. Python.
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Introduction to Python
Python is one of the most popular programming languages nowadays, and Python developers are in extreme demand. It is a flexible programming language that is favored by software engineers and tech organizations around the world. Data Scientists use it for data cleaning, data analysis, and knowledge generation.
Python is a widely-used general-purpose, object-oriented, high-level programming language. It is one of the most popular coding languages due to its versatility. The language has a design that emphasizes code readability and supports multiple programming paradigms.
It includes high-level data structures, dynamic binding, dynamic typing, and other features, making it suitable for complex application development. The versions of Python are copyrighted under a GPL-compatible license, which is certified by the Open-Source Initiative. Python is ideal for general-purpose tasks like data mining and big data facilitation.
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Here are some top features that make Python stand out from other programming languages.
Features of Python
Free and Open Source
- Python is developed under an OSI-approved open-source license., which makes it free even for commercial purposes.
- It can be easily downloaded from the Python official website.
- It can also be freely modified and re-distributed.
Beginners Friendly
- Simple and Easy to read Syntax
- Codes look like simple English words
- Easy to write codes
- No use of semicolons at the end of every line
- Line-by-line execution of code
- Simplifies debugging the code.
- Simple yet Powerful and Versatile language to start.
Portability
- Python is a portable language.
- i.e., You can write code once and run it anywhere, such as Windows, Linux, etc.
- In simple terms, it is a cross-platform language.
Library Support
- Python offers different libraries that save the developers time to write code for everything.
- Python libraries facilitate Data Science and Machine Learning Tasks such as:
- Data Mining and Model Generation
- Web Scrapping and Data Visualization
- Image Processing
- Some of its famous libraries are:
- Pandas
- NumPy
- Matplotlib
- Keras
- TensorFlow
Also Read: Top 10 Python Libraries for Data Science
Easy GUI Development
- Python uses Tkinter, PyQT, wxPython, or Pyside to develop GUI (Graphical User Interface).
- PyQT5 is the most popular for creating graphical apps.
- Python GUI libraries in GUI application development, such as
- Video game
- UI for touch-based devices
- GUI elements
Object Oriented and High-Level Language
- Being a high-level language, it enables programmers to write code that is more or less independent of a particular type of computer.
- Developers don’t need to remember the system architecture for memory allocation.
- Being an Object-Oriented Programming language, it allows developers to use the following:
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
Also Read: Object-Oriented Programming with Python
Dynamically Typed
- We do not need to declare the data type of variable.
- Python interpreter automatically detects the data type of variable based on the value of a variable during the run-time.
Database Support
- While developing applications, we need a database.
- Python offers a database API that provides an interface for all major commercial databases.
- Python deals with both rational and non-relational databases, such as:
- MySQL
- PostgreSQL
- Microsoft SQL
- Oracle
Popularity
With thousands of free-use libraries, modules, codes, and programs, Python is the most popular and loved programming language among developers across the globe.
According to the TIOBI Index, Python remains at the top:
Also Read: Top 10 Programming Languages to Learn in 2022
Incredible Community Support
- Python community is one of the most significant communities on GitHub, StackOverflow, and Meetup.
- If you need the answer to any query, you are just a click away,
- You just have to post your query
- Lots of questions are already solved, you can also refer to them.
Conclusion
Python has a lot of great features that make it stand out from other languages. Its focus on readability, flexibility, and efficiency makes it an ideal language for various applications. Python is also well-suited for beginners, making it an excellent choice for those just starting in programming.
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FAQs
What makes Python a preferred language for beginners?
Python's syntax is clear, intuitive, and almost English-like, which makes it an excellent language for beginners. Its readability and simplicity allow new programmers to focus on learning programming concepts rather than complex syntax.
How does Python support multiple programming paradigms?
Python is a versatile language that supports various programming paradigms including procedural, object-oriented, and functional programming. This flexibility allows developers to choose the most effective approach for their task.
Is Python suitable for web development?
Absolutely! Python offers frameworks like Django and Flask which simplify web development. These frameworks provide tools and libraries to build robust web applications efficiently.
Can Python be used for scientific and numeric computing?
Python is heavily used in scientific and numeric computing thanks to libraries like NumPy, SciPy, and Pandas. These libraries offer efficient data structures and computation tools for data analysis and scientific computing.
What are Python's capabilities in data analysis and machine learning?
Python leads in data analysis and machine learning with libraries such as Pandas, Scikit-Learn, TensorFlow, and PyTorch. These tools provide powerful data processing and machine learning functionalities.
How does Python integrate with other languages?
Python can easily integrate with C/C++ code and can be used to call from and to Java, .NET, or C# code. Tools like Cython and Jython facilitate these integrations, enhancing Python's versatility.
What role does Python play in automation and scripting?
Python simplifies automation and scripting tasks with it's straightforward syntax and powerful standard libraries. It's widely used for automating simple repetitive tasks, making it a favorite among system administrators.
Vikram has a Postgraduate degree in Applied Mathematics, with a keen interest in Data Science and Machine Learning. He has experience of 2+ years in content creation in Mathematics, Statistics, Data Science, and Mac... Read Full Bio
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