As said before, both these languages are very widespread, are also powerful, and share somewhat the same similarities, but that doesn’t mean they are the same! They indeed share differences that give them their own discrete identities.
|Primary use||Is primarily used for back-end development.||Is primary used for both, back-end as well as front-end developments.|
|Plus-points||Python at an overall stage makes programming easy and simple.||It’s an object oriented script and when combined with Nodes.js it turns more powerful.|
What is Python?
As said earlier, Python is a high-level programming language and includes a general purpose with an object-oriented script. Guido Van Rossum created Python during the period from 1985 to 1990 at the National Research Institute for Mathematics and Computer Science in the Netherlands. What makes Python different and more accessible is that it is designed with the prime aim of being highly readable.
Python uses recurrent exposure of English keywords and includes a small number of syntactical constructions than any other script or language. To explain it in a nutshell, Python happens to use more English keywords, whereas other languages use punctuations.
Python is said to be derived from various languages, which include ABC, Modula-3, C, C++, Algol-68, SmallTalk, UNIX shell, and other scripting languages. Python is thus copyrighted, and its source code is presently available under the GNU General Public License (GPL). According to the data in hand, an essential development team at a designated institute now maintains Python, with Guido Van Rossum still holding a vital role in directing the process.
Features of Python
Python includes a list of features that makes it to the top of scripting languages. They are listed as followed:
Comfortable to absorb or easy to learn: With its flexible use methods, Python has a small number of keywords, simple and ordered structure and lucidly defined syntax. This guides as well helps the students and experienced developers to understand and also use efficient language.
Effortless read or easy to read: As compared to other scripted coding languages, Python uses English keywords which makes it suitable to understand, and also it comprises one of the clearly defined codings which is noticeable to the eyes.
Easy to uphold: Python as far as possible is fairly easy to maintain and work with because of its flexibility.
Manageable: Python has the advantage of running on a broad array of hardware platforms and it shares the same interface on all the verified platforms.
Databases: Python tends to provide an interface to all foremost commercial databases.
Other convenient features that are provided by Python include:
- Python supports functional and structured programming methods.
- Python provides high-level dynamic data.
- Python supports automatic garbage collection.
- Python can easily be integrated with C, C++, COM, ActiveX, CORBA, and Java too.
Types of Python Coding Styles
As said earlier, Python is known for its flexibility, which gives the freedom to the developers to use their best-suited style rather than compromising themselves with the style that is granted by the program. When it comes to the types of coding styles of Python, they are as follows:
Imperative: This type of coding is an archetype of Python. It’s especially used in the process of manipulating data structures, which gives the utmost result in the shape of elegant coding, which is simple yet well-designed.
Functional: In the functional type of coding, every statement is canned as a mathematical equation. This avoids changeable data and is thus considered advantageous and is used by the majority of developers.
Object-oriented: Where Python states an imperative type of coding as its paradigm. On the contrary, it treats an object-oriented type of coding as its antithesis. This is because this field of Python is not successful when it comes to implementing features, for example, data hiding.
Procedural: Python holds its head high in this particular type of coding as it prefers repetition, sequencing, selection, and modularization. It’s a step-by-step procedure that holds common tasks which may sound common but are a necessity.
It’s not practically guaranteed that these Python coding styles are valid or useful. For that matter, Python allows them to be used according to the will.
High level: High level consists of functions that allow the developer to use the program without keeping a constant eye on the platform of the machine. It has the feature of managing memory automatically with the help of a garbage collector. This enables the user to focus on the coding undertaken by him and not on managing memory.
Dynamic: As the name suggests, it’s the opposite of static programming languages. It holds the procedure at runtime, which gives it a taste of both good and bad. Dynamic also exposes a list of features such as dynamic typing, reflection, object runtime alteration, late binding, closures, and others.
Statement looping: Statement looping helps in performing uniform operations continually. In a nutshell, the coding in statement looping runs in the repeat method.
Boolean type: It exemplifies a logical unit that acquires two values. They are true and false.
Null type: Unlike the Boolean type, the Null type consists of one single value, and that’s null.
Undefined type: Undefined type is a variable whose value isn’t defined yet. That’s its value still undefined.
String type: This type is used strictly when there is textual data. A string type is a set of ‘elements’. These elements are made of 16-bit integer values, and each particular element inhibits a station in the String. For instance, the first element is at index 0, the next element is at index 1, and the list continues.
Symbol type: A symbol is a unique value and sometimes is used as the key of an Object (a value in memory that is possibly referenced by an identifier) property.
Though both languages share their private differences, the major purpose that gets them together on the same line is their aim or goal, and that is to develop powerful programs.