Python is a popular programming language. Due to its multidimensional usage, simplicity, community support, easy to learn, its use and demand is increasing day by day. There is no one who is aware of computer science but has not heard the name of Python programming language. From data analysis to building complex applications Python is popular for everything. Just by learning this language you can become proficient in several tasks at once.
There's nothing Python can't do. But the most interesting thing is that this programming language was born only a few decades ago, in 1990.Python is composed fundamentally utilizing the C programming language.It is understood that Python will be a bit slower than C. But where speed is not an issue, or for small and large programs, Python is increasingly used.
Python has numerous open source modules. And these modules are what make this programming language unique.
Why use Python?
With so many programming dialects today, it is extremely normal to inquire as to for what reason would it be a good idea for me to learn Python? Taking a gander at the measurements, we can see that its client base is expanding step by step.
Let's see what are the reasons behind this –
Code Readability
Python's syntax is not as complex as other programming languages, moreover it is close to common spoken language which is easy to understand. Moreover, code reusability is very easy due to Python's object oriented and functional programming style.
Cross-platform
Python is platform independent, i.e. works on any operating system (Windows, Linux, Mac), no code changes are required. It is very helpful for developers.
Library support
Python has a rich built-in library. From any kind of simple program to system programming or socket programming, Python's standard library can be used. Moreover, Python's additional data structures like lists or sets are very useful for solving any complex problem.
Robust opensource framework
Python has many open source structures. Python is a fundamental programming language for those functioning in information science, AI or profound learning. TensorFlow, Keras, Psychkit, PyTorch are all suitable for Python.
Developer productivity
Python requires much less code than other contemporary programming languages. That is, in a very short period of time only using the library to create a lot of complex software, which saves time and also reduces the possibility of errors or bugs.
Above we tried to highlight some significant aspects of Python. Apart from the things mentioned above, Python has many uses.
What can be done with Python?
GUI based software development:
When we think of any software, the first thing that comes to our eyes is a Graphical User Interface or GUI. There is no substitute for a graphical interface when it comes to creating software for general use. Common users will never be interested in using any software using Command Line Interface or CLI.
Python has several APIs and libraries to easily develop GUI applications. There is no need for anything extra, just knowing the functions of that API or library. Below is a list of some popular APIs –
-Tkinter
-Kivy
-PyQT
-WxPython
-PySide
-PyGUI
-PyGTK etc.
Web Application Development
Nowadays most of the people use PHP to develop web applications. But this can also be done using Python. Big companies in the world are now turning to Python. Python has a variety of web frameworks, of which Django is the most popular. Some of the popular frameworks are mentioned below –
1. Django
2. Flask
3. Pyramid
4. Web2Py
5. Bottle
6. TurboGears
7. CherryPy
8. Dash
9. Sanic etc.
Even complex tasks like system programming can be done with Python's built-in interface. Complex tasks like Threading, Shell command, File Handling, etc.Can be done very easily in Python.
Database Programming
There is no substitute for database for creating modern and dynamic applications. And therefore, Python has interfaces for all popular Relational Database Systems such as MySQL, Oracle, SQLite, ODBC, PostgreSQL, etc., and these interfaces can be handled very easily.
Python has Portable Database API through which databases can be used on different platforms without any changes.
Scientific Programming
MATLAB is unmatched for numerical and scientific programming. But this space was quickly taken over by Python. Python has a variety of libraries for any kind of scientific and numerical calculations. Some popular libraries are mentioned below –
-Numpy
-OpenCV
-SciPy
-Pandas
-SymPy
-PIL
-Astropy
-ScientificPython etc.
Machine Learning and Deep Learning
Artificial Intelligence has been in the ascendancy for several years now. And Python itself has been a partner in this victory. All the best libraries, frameworks or APIs available today have support for Python. That means you can easily design any type of model with these frameworks. GitHub also has tons of code. Below are the names of some of the APIs and frameworks –
-TensorFlow
-Pytorch
-Keras
-MXNet
-Sonnet
-DL4J etc.
It's hard to find anything that can't be done with Python, meaning that any kind of application can be built with Python.
Technical advantage of Python.
Object Oriented
Python supports two types of programming paradigms: procedural (eg) and object-oriented. If a programming language is to be object oriented, it must support features such as polymorphism, inheritance, encapsulation, abstraction, and Python has all of them. These things are much more straightforward in Python than in other programming languages. Therefore, it is very easy to reuse the code.
Portable
Interestingly, this Python language is written using the portable ANCI C language. Due to which Python can run virtually on most platforms. It is capable of running on any computer operating system known today, starting with mobile systems. For example –
-Windows Operating System
-Linux Operating System
-Mac OS
-Symbian OS
-Gaming Console
-Android OS
-Pocket PS systems etc.
As mentioned earlier, Python has several GUI based libraries, so software can be easily developed for different operating systems without major changes to the original code.
It's Free
Python is completely free and open source language. Being open source, its support is also amazing. Anyone from anywhere in the world can contribute here, which is why Python has so many libraries and APIs.
It is relatively easy to learn and use.
It has been mentioned earlier that learning Python is comparatively much easier than other programming languages. Even if you have learned other programming languages before, you can learn basic programming within a day.
It takes time to become an expert in anything, similarly time is required to become an expert here.Python is easy to use. No data type is needed, no special punctuation is needed, just write the alignment correctly.
Hybrid Feature
In terms of features, Python covers everything from scripting language to system development language; So in one word it can be called hybrid programming language. Some of the important features are discussed below –
•Dynamic Typing
In most customary programming dialects, the information type should be determined, that is to say, it is required to characterize whether the variable will be a number or a string; But there is no such problem in Python, you just have to declare the variable. No need to worry about the type or size.
•Modular Programming
Python follows modularity, that is, Python codes are divided into modules, classes, which makes code reusable much easier.
•Build in Object
All data structures required in Python such as lists, dictionaries, sets etc. are available built-in, i.e. there is no need to create them separately. Not only that, various algorithms such as sorting or mapping can be easily used.
•Third party support
Since Python is an open source language, there are numerous third party libraries or frameworks available for any task.
•Automatic memory management.
Python itself manages memory automatically, so there is no fear of a memory dump.
What are the disadvantages of Python?
-Python code execution may take time.
-Python's memory usage is much higher than many other languages. So while making any project, you have to look at less memory loss.
-It's hard to do big things with database access in Python.
-Because the data type is dynamic, there is a risk of errors when running Python code.
-Python is not very suitable for mobile applications.
Python Interpreter
You may know that machines or computers always work in machine language, that is, whatever language we write in, it is mandatory to translate it into a language that the computer can understand; And this work is done by Interpreter or Compiler.
An interpreter converts a program line by line into machine readable code. When a program is executed, it communicates with the operating system through the interpreter and displays the output.
Which version of Python should I use?
Python has two major versions and these two versions are updated separately. The two versions are 2 and 3. Common Python users are often confused about this. Here is a little discussion keeping in mind its continuity and new users.
Both versions: Although there are two different versions of Python, there are no fundamental differences for the average user. In most cases it is seen that Structure and Function are same in most cases. There may be slight differences. So new users should focus on learning Python instead of wasting time wondering which version to use.
2.X.X version : This version is currently deprecated. This version is mainly used by people who have worked with it before and have not updated to the new version. Because there are many packages that do not support version 2.X.X If you are a very new user then it is better not to use this version.
3.X.X version: This is the latest version of Python. A new user should start learning it without thinking about anything else. Any type of application, such as deep learning, machine learning, software development, big data analysis, etc., any framework or API, all use this 3.X.X version. But needless to say, at some point the 2.X.X version will be discontinued, leaving only 3.X.X.
Conclusion: Python will be at the forefront of other coding languages. So it's a great choice if you're considering learning it or using it for your software development projects. Undoubtedly, Python has the potential to help software developers brighten their future if they can work and use it properly.
Also, it tops the list of most used and most loved programming languages in the world.We hope our article has given you more insight into this programming language and its future outlook.
Also read: Python architecture variable oparator
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