Irresistible Features for the Futures of Python

Irresistible Features for the Futures of Python

Let’s start with the Features of Python ...

Introduction 

At some point in time, we had about as many programming languages as we could count on our fingers. Today, there are so many, and all with their own specialities. But what makes a language unique is its features. And ultimately, it is its features that get it chosen or passed for a project. So before beginning with deeper concepts of Python, let’s first take a look at the basics of Python programming language that justifies the reasons behind what makes Python so powerful as compared to other programming languages. So let’s start with the Features of Python Programming Language.

Features of Python

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Easy to read and easy to code

Easy to Code

As we have seen in earlier lessons, Python is very easy to code. Compared to other popular languages like Java and C++, it is easier to code in Python. Anyone can learn Python syntax in just a few hours. Though sure, mastering Python requires learning about all its advanced concepts and packages and modules. That takes time. Thus, it is programmer-friendly.

Easy to Read

Being a high-level language, Python code is quite like English. Looking at it, you can tell what the code is supposed to do. Also, since it is dynamically-typed, it mandates indentation. This aids readability.

Compared to other programming languages Python is very easier to understand. The programming basics are as simple as mathematics where 3+5=8. So it might be your first programming language if you are a beginner.

Free and Open Source

We can easily download Python from its official link, where we can found all the previous releases. We can go with latest version, whether you know the previous versions or not.

Secondly, it is open-source. This means that its source code is available to the public. You can download it, change it, use it, and distribute it. This is called FLOSS(Free/Libre and Open Source Software). As the Python community, we’re all headed toward one goal- an ever-bettering Python.

Interpreted

There is no need to compile the code, likewise C++ and Java. So debugging becomes very easier than other programming languages.

High Level

The programmer does not have to learn the System Architecture for Python. There is not to worry about the memory management concept, it is the key feature of Python.

Dynamically Typed

For any program we have different variables with different values. In that case, the Python language does not allow the user to define the type of the variables. It will automatically understand the variable type and returns the values.

Portable

Python code is written on the Windows operating system. If you want to run this same code on MacOS, in that case, it will run without any interruption because the system-dependent feature doesn't affect Python.

Extensible

It is possible to write Python code in other programming languages.

Large Standard Library

Python language has large library where we can find unit-testing, CGI, image manipulation, databases, regular expressions, and many other in-built functions and methods. So we don’t need to code for apply functionalities to the program.

GUI programming

wxPython or JPython these toolkits are used to perform GUI programming. These are very easy to implement and fast development methods.

Python Applications

Web & Internet Development

There are major frameworks used for web applications, such as Django, Pyramid, and Flask.

Database Access

For data science, if we have to perform Data Analysis then use the Pandas framework. To implement Data Visualization Metplotlib, seaborn libraries are used. For any Numeric and Scientific Calculations, the Numpy framework is used. For Machine Learning, the Scikit-learn is used. As a library, machine, and deep learning-TensorFlow, Keras frameworks are used. These frameworks and libraries are used for Data Science in Python.

Artificial Intelligence

For Deep learning, the Keras library is used. For any Deep learning framework, the Microsoft Cognitive Toolkit is implemented. OpenCV-Open source computer vision is used as library; NLTK- Natural Language Toolkit. These Python Libraries are used for AI.

Automation

Robot framework, PyTest, Selenium Python, PyUnit are different frameworks or libraries used for automation.

Python's Demand and Careers

Python is a very popular language, from school kids to the advanced programmer. As we have discussed, it’s easy to learn and compared to other programming languages. It's simple and advanced. If we are focusing on future technologies, we reach for some of the words like Data Science, AI, IoT, Machine Learning, Automation, and these are all the major features that increase the demand for the Python language for newcomers as well as experts. Python has a future and is followed by a huge community in the tech world.

The following image will give us a quick overlook at the demand for Python. 

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“Money matters a lot.” For the current scenario of the programmer as well as considered about future Python becomes the first choice while thinking about actual growth, careers and jobs. Data science with Python reaches to the new place in the upcoming future. In this data-driven world, Python starts with data analysis to automation. "The new trend is Python."

How to learn Python?

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There are major 7 steps:

  1. Strengthen the basics: We have learned Python variables, Python Tokens and Python Datatypes called the basics of the Python. These are the foundations of the programming language. 

  2. Learn decision making and Control Flow: Next, with the help of loop statements like For and While loops also decision making statements helps to make small Python programs. It will build the confidence level.

  3. Master the concepts of OOP: In any programming language, OOP plays a crucial role. Class, Object, Functions and File handlings are used which implement some user interfaces to Python programs.

  4. Rigorously practice the programs: Practices are most important to improve the learning level for beginner or an expert. It will help you to learn something new every time.

  5. Create web apps using frameworks: Python is used for creating web applications. For different web applications Django, Pyramid, Flask kind of frameworks are used.

  6. Acquire the skills of Data Science and ML: Data science and Machine Learning are again one of the major factors for the Python. As a fresher with a good skill in Data Science. There are many more chances to earn a handsome amount. Machine Learning focuses on automation. Both are trending terms of 2020.

  7. Work on real-time Python Projects After completing all the previous steps, the Python Programmer has much more confidence to jump into the technology world and be introduced as the Python Developer. 

Benefits and Drawbacks of Python

All the features are themselves the benefits of Python.

Compared to other programming languages

Benefits

  • Demand and Popularity is reached to the top.
  • Python codes are short.
  • Python applications are Operating System and Programmer friendly.

Drawbacks

  • Python runs with an interpreter, so it is slower while executing an application.
  • It raises run time errors.
  • It is weak for mobile browsing. 
  • Databases are not h2 for dealing with big data applications.

Summary

Now that you know what are the features of python, you know what makes it special. In this tutorial, we learned about various features of Python. We saw that it is interpreted, dynamically-typed, and object-oriented, among other python features. It is also portable, free, and easy. Now that’s some motivation to dive into the world of Python.

If you have any queries regarding Python features article, mention in the comment section. We will be happy to help you!

Thank you for reading!

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