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Advantages and disadvantages of using Python

What is Python?

It is a high-level programming language that consists of a very simple syntax to understand. It was created in the early 1990s in the Netherlands and is considered a relatively young project compared to other languages, such as Pascal, Fortran and Java. On the other hand, Python is characterized by having some characteristics of languages ​​that precede it. Regarding the latter, I can mention as an example the ways in which a certain value is printed either through patterns or with the concatenation of elements. Our python online training in Bangalore was specially designed for those who are keen to learn the python course from Scratch to Advanced level.

Advantage

The main advantages of this language are the following:

Flexible     style: This is because it gives     you many tools to create code flexibly. For example, if you want to     have lists for various data types, you don't need to declare each of these     (this is done to determine the class of the data). On the other hand,     the syntax is understandable and in some functions they resemble     structures from other languages.

Neat     and clean: it means that this language is     readable and understandable for any programmer who wants to work on an     already established structure and this is due to the organization of its     modules.

It     has an active community: unlike     other less popular types of languages, Python has an active community of     users committed to helping with updates.

Open     Source: This programming language     is free software, it means that you can use it at any time for your     projects. Also, you can use it as a base to create extensions or     develop modules.

Simplified     and fast: It is very simplified since it has several action-oriented     patterns. In addition, since it is an interpreted language, its     execution is done quickly because it does not need to be compiled. With     this you save a lot of time to program and create projects.

Sound     programming style: One of     the main advantages of using Python is that programmers maintain a healthy     style of programming, directed to the perfect rules. In addition,     this added to its other benefits makes it a productive language.

Multiplatform: This language can be used in various operating     systems such as Linux, Windows or Mac OS. On the other hand, it     includes the most popular libraries within the interpreter, so you should     not waste time installing them as it happens with other languages.

Disadvantages

Although it has numerous advantages, it is important that you know its disadvantages:

Problems     with hosting: there are many servers that     do not support Python and if they do, their configuration is usually     complex.

Built-in     libraries: Despite including a     compendium of popular libraries (for example: kivy, requests, scapy, among     others), some of these are not necessary or are rarely used. Regarding     the latter, I mention as an example those that are used to work with HTTP. In     this case you can choose to use third-party libraries.

Slow     when running multiple threads: Although     it doesn't need to be compiled, if you want to run multiple programming     threads you may not take advantage of the full power of your PC. For     example, errors may arise from the interpreter or you may simply have trouble     using all of the processor cores.

It     doesn't have good documentation: Python     doesn't have good documentation, so you may have trouble understanding     some libraries and certain structures, especially if you haven't     programmed before. All this compared to other programming languages     ​​such as Java, PHP or C ++.

Learning     curve: Although the language is     understandable, for web development it can take some time to learn it,     especially if you have no idea about object-oriented programming.

It     does not have protected identifiers: unlike other types of languages ​​such as PHP, Python     does not have protected identifiers, so the methods used are public.

Simulations: for physical simulations the Python language can be     complex, since it does not work with matrices by default, as it happens     with other languages ​​such as Matlab. In short, this language is     useful for you as long as you do not depend on an array or have to work     with a complex vector, since otherwise you must import libraries.

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