Why should you want to learn python in 2022 | scope of python in 2022
If just to say that if you just learn Python properly, then you will not need to learn any other Programming Language to fullfill the need related to any kind of Programming, this is absolutely not wrong. Will be.
Because Python itself is such a broad and multidisciplinary subject, it may take less time to learn, not weeks, months, but years and in this chapter, we will try to understand in a little detail why learning Python can easily meet other types of needs by Python.
However, currently, there are a lot of other modern Programming Languages, which have been used for a long time to cater to different types of needs. Such as Java, C++, C, etc. Therefore, the question may arise in anyone's mind as to why Python should be learned while a lot of other Modern Programming languages are already being used successfully.
To understand the answer to this question properly, we have to understand Python's Advantages. Therefore, let us first look at those features of Python.
Features of the Python.
Python is a Scripting Language
Python is a General Purpose Programming Language that supports all three of the Procedural, Functional, and Object-Oriented Paradigm equally and with full capabilities.
Generally, people understand Scripting Language and Programming Language differently which is also partly all but often people consider a Scripting Language to be weaker and less used than Programming Language, which is completely wrong.
In fact, the only difference between a Programming Language and a Scripting Language is that the Codes of the Programming Language are compiled at once and converted into Machine Language Codes, which would become a separate Executable File based on the Current Operating System. As a result, whenever we run these programs with compiled code, we do not need their source code file.
But the programs that we develop using a Scripting Language always remain as Source Codes and whenever we need to run these programs, we need an Interpreter of the language, whose Using it, we have developed the program of that scripting language because this interpreter only converts the source codes of that program into machine language code which is completely in RAM and as soon as we terminate the program of that scripting language Let's say, our machine code also completely destroy from the memory of our computer.
In this way, the only difference between Programming Language and Scripting Language is that a Separate Executable File of Compiled Codes of Programming Language is created for which the source code file is not needed again. Whereas the source codes of Scripting Language are executed each time by an Interpreter translating them into Machine Codes.
Therefore, if you put it in the simplest terms, then every Scripting Language is a Complete Programming Language in itself and every need can be fulfilled by a Scripting Language which we can use a Compiled Language to fulfill. Huh.
Python is High Performing Scripting Language
Python is a language that has capabilities like C / C ++ and is almost as powerful as C / C ++.
So Python can be used in a very effective way to not only meet the needs related to High-Level Application Software but also to easily meet the needs related to Machine Dependent Low-Level Application Software and hence Python, the current Programming language has become the most rapid use of time.
After C / C ++, if one language can be trusted for System Level Programming, then it is Python because Python can reuse C / C ++ Code Libraries very easily and can give High-Performance Result. And this is because Python came into existence after C / C ++, so it was necessary to keep C / C ++ Compatible from the beginning, which is not only of its time but also the most powerful Compiled Programming Languages of the present and Even today where high performance is required, there is no other alternative to C / C ++.
But often when Fast Development Speed is also required along with Performance, then only Python is fully capable of playing the role of Best Possible Alternative of C / C ++.
Python is Multi-Purpose Scripting Language
The biggest feature of Python is that Python Language's Programming Codes have very good readability because Python has been designed in a similar way so that its Program Codes are easily readable. Also, be more easily Reusable and Maintainable than any other Scripting Language.
Syntax of Python Scripting is easy to remember. Because different types of Data Structures are specified by almost the same type of Python Codes. That is, the code written to create a Dictionary and the code written to create Tuple is the only difference between Curly Braces and Bracket.
That is why if you understand the codes related to Create and Manipulate Dictionary, then you have also understood to a large extent the code to Create and Manipulate Tuple because all the functionaries related to Access and Manipulate both Data Structures are almost one. Are the same.
For this reason, learning, understanding, and memorizing Python is much easier and faster than learning any other Programming Language, and once you learn Python again and again to meet a variety of needs. No need to see Python's manual.
While developing Python, it was on the minds of its creators that there should be uniformity in the codes to be written in all the ways, irrespective of the way to do the same work. So that whichever method is adopted to complete a task, all the methods are identical so that any programmer can easily read and understand the codes written by another programmer.
In other words, Python has a certain way of completing a task, which is the most obvious way. Then there are some other alternative ways of completing the same task which is following that first method with small changes.
One thing to keep in mind is that Python does not take any type of Automated Decisions for us as in other Modern Programming Languages. For example, in many Programming Languages, nothing is written between Double Quotes, then that Programming Language defines that String as Empty String by default. But in Python we cannot expect that Python would consider a String to be an Empty String at its own level, rather we would have to manually specify and compare Empty String whenever needed.
So if you are learning Python after learning Programming languages like C / C ++, Java, C #, then the only way to avoid various types of bugs is to forget the implicit methods of these languages and always keep on Explicit methods. Believe it
Due to the uniformity of Python Codes, the codes written in it are easily understood, even if you have written those codes or by another programmer. In addition, Python is a Scripting Language that supports many methods such as Functional Programming and Object-Oriented through which Code Re-usability is also facilitated. As a result, Python becomes a very powerful scripting language and Python can be used with as much competence as any other Modern Programming Language such as C / C ++ to solve any problem related to Programming. , Java, C #, etc.
Python is Developer Friendly Scripting Language
The productivity of Python Programmer increases manifold compared to Compiled and Statically Typed Programming Languages like C / C ++, Java, C #. Because compared to the number of program codes that these Programming Languages have to write, only 20% to 30% of Program Codes are done in Python.
That is, in Python, we have to write very few program codes, due to which our work as a developer becomes very easy. Because we have to type fewer codes, Debug fewer codes and once the application is complete, fewer codes have to be maintained. As a result, the life of a Python Programmer becomes much easier than C / C ++, Java, C # Programmer.
Not only this, Python is an Interpreter Based Scripting Language, so after developing it, we do not have to follow the long Compile and Linking Process like Programming Languages like C / C ++, Java, C # but also we write the same program. , Interpret it immediately and test its output and avoid this frequent Time Consuming and Lengthy Compiling and Linking Process during application development, which makes our job as a Python Programmer much easier. Whereas a large C / C ++, Java, C # based application software has to follow the Compile and Linking Process repeatedly during development, which wastes a lot of time.
Python is a scripting language in which more tasks are completed by fewer codes and it is basically developed to minimize the speed of development so that the best possible application software is developed in the shortest possible time. Could.
Get rid of the lengthy steps related to Simple Coding Syntax, Dynamic Typing, Compiling and Linking provided by Python and built-in Toolsets. It is able to develop, which not only reduces the development cost but also makes it very easy to debug, manage, and maintain the application.
Python is Portable Scripting Language
Almost all Python programs are run on any computer system without any kind of change. If we have developed a Python program on Linux, then to run it on macOS or Windows System, all we need to do is copy-paste the script of that program from Source Computer System to Target Computer System as Simple Text File And if the Compatible Python Interpreter is also installed on the Target Computer System, then we can run our script immediately.
Apart from this, Python provides us with many built-in methods, through which you can run without any problem by porting the Source Computer System's GUI, Database Functionality, Web System, etc. to the Target System with complete compatibility without any change. Huh.
While GUI, Database, Web Systems, etc. on different Operating System and Computer System Architecture are completely different and Python provides the facility of Program Portability between different Operating System and Computer System Architecture in a built-in manner.
Python have Large Collection of Supports
With Python, we get a huge collection of Prebuilt Portable Functionality Codes in the form of Standard Libraries using which we can very easily meet different types of common needs. These libraries can easily fulfill the requirements of various types of Application Level Programming Tasks, Pattern Matching, Network Scripting.
Python has not only a large collection of Standard Libraries, but we also have a lot of Third-Party Libraries to cater to different types of needs, which are very useful in fulfilling those needs which are Standard Cannot easily be accomplished by libraries.
Not only this, but Python also gives us this facility that we can also easily extend any Standard Library or Third-Party Library to meet Extra-Ordinary needs.
We can easily develop websites and web applications using third-party libraries like Python's Flask, Django. Whereas by using third-party libraries like SciPy, NumPy, scikit-learn, TensorFlow, we can use Python to meet the needs like Artificial Intelligence and Machine Learning.
Because of supporting these different types of libraries, Python is called Multi-Purpose Scripting Language because using various types of Supporting Libraries, we also successfully complete many types of Complex Tasks through a Python Scripting Language.
Python Supports Multiple Types of Component Integration
Python Scripts can easily communicate with different parts of the application using different types of Integration Mechanisms. We can also use the Python Script as a customization and extension tool. Through Python, we can Invoke C / C ++ Code Libraries and by C / C ++ Programs call Python Script.