Features To Futures Of Python🐍

Introduction 

 
In Python, we have learned all the basic concepts in my previous articles. These programming concepts are very common and useful for the Python Applications for beginners as well as for an expert. In this article, we will see what makes Python popular and will discuss all the future aspects of this cutting edge language. Also, we will check out the benefits and drawbacks of Python.
 

Easy to read and easy to code

 
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.
 

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 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 the 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. 
 
Features To Futures Of Python
 
“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?

 
Features To Futures Of Python
 
Image source: https://data-flair.training/blogs/why-learn-python/ 
 
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 the 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 Python. As a fresher with 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 are reached to the top.
  • Python codes are short.
  • Python applications are Operating Systems 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.
Reference Link
 
https://data-flair.training/blogs/python-tutorial/
 

Summary

 
In this article, we have discussed all the major aspects of Python’s Popularity and its demands for careers in 2020. We also learn the proper way to learn Python with 7 crucial steps. Hence, we also saw the benefits over the drawbacks of this language when compared to other languages.