Developing good web applications is always a new challenge. In the frontend, the application must be responsive and fast. In the backend, the code must be implemented in a structured, readable and maintainable manner. At the same time, customer wishes and requirements are changeable, and new possibilities and technologies are developing rapidly. Flexibility and expandability are therefore major issues in software development, as is data security.
Hyperlink Infosystem can help you to meet these standards and implement your wishes. When carrying out our projects. However, we rely Python programming language and the Django web framework. Because these two technologies are much better suited for solid and sustainable software.
Python is a better choice for software development. The language is efficient, fast and allows a modular structure. Python's syntax is not based on curly braces, but on indentation. This forces developers to structure the code and makes it easy to read. And if the code is easy to read, the maintenance costs are lower, programming errors can be found and eliminated more quickly and new developers can be trained in less time.
In principle, the implementation of projects with Python as the programming language is relatively easy, because prototypes and smaller applications can be implemented quickly. Different paradigms of software development can be applied, because Python supports both object-oriented and functional programming. There are also packages for almost every application and every current topic - from machine learning to statistics and big data - that provide a solid basis for applications.
To develop web applications with Python, there are different frameworks of different sizes. Hyperlink InfoSystem manly relies on Django, one of the more extensive frameworks. Django's development goal is to take on a large part of the difficulties that web development brings with it. This includes the fast implementation of data models through object-relational mapping (ORM) and flexible web design using HTML templates.
A particularly big advantage of Django, in addition to many out-of-the-box functions for the biggest stumbling blocks in web development, is the handling of security. Django prevents various risks and attack strategies, such as cross-site request forgery (cross-website request forgery), cross-site scripting or SQL injection. With other languages and frameworks, the programmers have to take care of this protection themselves. Especially in large projects, this can quickly lead to security gaps and a lot of work.
Python is a multiparadigm language, which means that it supports multiple programming paradigms (object-oriented, functional, imperative, etc.). The most common is to use object-oriented programming since when creating text, bytes, numbers, lists, dictionaries, etc. all of these are created as objects. It is common to hear that everything is an object in python.
A programming language can be compiled (C, C ++) or interpreted (Python, MATLAB). In compiled languages, it is necessary to compile the code before executing a program to obtain a binary that the computer understands and can be executed while there is an interpreter that compiles and executes the instructions given to it in an interpreted language.
Python is categorized as an interpreted language. The python interpreter consists of 2 parts, a compiler and a runtime (python virtual machine).
Due to this feature python is slower than other compiled languages; in the execution of a program, Python must load the runtime and compile each part as required.
It is necessary to install an interpreter to execute Python code. This interpreter can run on Windows, Linux and OSX. In the case of Linux and OSX, Python is already installed. In the case of Windows, the installation of python is necessary.
A programming language can be dynamically typed or statically typed. It is dynamically typed when the type of value obtained by a variable is not explicit in the code. We can also say that we do not define the data type of a variable, rather, it is assigned depending on the type of element that is stored in it at the time the code is executed. On the other hand, in static typing, the type of data that a variable will contain must be specified when declaring it and only values corresponding to the type of data specified in the declaration can be stored.
Python is dynamically typed since we do not declare the type of element that contains a variable. This can cause problems in the development. When a developed program consists of several lines and several modifications have been made, it is possible that some function or method receive a different data type. It will break the program or at best, result in error, since the function or method has not been designed to work with that data type. There are tools that help us to perform these static type checks.
A programming language can be strongly typed or weakly typed. They can also be called strong typed or weak typed. It is said to be strongly typed if variables cannot change its datatype once it has been declared. In weakly typed languages, variables can perform operations on other types of data, such as concatenating an integer with a string. This is not always good since one has no control over what the program will do to perform the operation even when you have not been given the correct type variables.
Python is strongly typed and can only perform the methods defined for that data type. It does not do magic conversions to execute what is requested.